Projects & Theses
Below you find a collection of BSc and MSc projects and theses that can be carried out within the MaP community.
Exploring the Mechanoregulation of Bone Regeneration
In over 100 years, the remarkable ability of bone to adapt to its mechanical environment has been a source of scientific fascination. Bone regeneration has been shown to be highly dependent on the mechanical environment at the fracture site. It has been demonstrated that mechanical stimuli can either accelerate or impede regeneration. Despite the fundamental importance of the mechanical environment in influencing bone regeneration, the molecular mechanisms underlying this phenomenon are complex and poorly understood.
Keywords
Bone, Mechanobiology, Spatial transcriptomics, Gene expression, Finite element modelling, Image processing
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2026-06-19 , Earliest start: 2026-01-19 , Latest end: 2026-08-31
Organization Müller Group / Laboratory for Bone Biomechanics
Hosts Mathavan Neashan
Topics Medical and Health Sciences , Engineering and Technology
Modelling of the Electrode–Electrolyte–Neuron Interface in High-Density CMOS Microelectrodes
This project explores the biophysical and electrochemical processes at the electrode–electrolyte–cell interface in state-of-the-art CMOS-based microelectrode arrays for in vitro electrophysiology. The student will develop theoretical and computational models of microelectrodes, including the effects of biological coatings and electrical stimulation. The work will be initially modelling-focused, with opportunities for experimental validation.
Keywords
Neuroscience, Electrochemistry, Neural interfaces, Physics, Biomedical Engineering
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Semester Project , Internship , Lab Practice , Master Thesis
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Published since: 2026-06-19 , Earliest start: 2026-09-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Medical and Health Sciences , Engineering and Technology , Chemistry , Biology , Physics
Transformative electrode designs for transcutaneous and transcranial brain sensing and stimulation
The goal of the project is to develop new designs and architectures of soft and compliant electrodes used on human skin, including scalp, in context of wearable sensing and stimulation.
Keywords
wearable, electrode, rehabilitation, design, material, sensing, stimulation
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Semester Project , Bachelor Thesis
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Published since: 2026-06-17
Organization Biomedical and Mobile Health Technology Lab
Hosts Shokurov Aleksandr
Topics Engineering and Technology , Chemistry
Mechanophores for advanced wearable strain and pressure sensors
The goal of the project is to synthesize and characterize a number of small molecules capable of acting as mechanophore addition to various polymers. These polymers would then be used as wearable strain or pressure sensors.
Keywords
mechanophore, polymer, wearable, sensor, color, strain, pressure
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Master Thesis
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Published since: 2026-06-17
Organization Biomedical and Mobile Health Technology Lab
Hosts Shokurov Aleksandr
Topics Engineering and Technology , Chemistry
Smart Microcapsules for Biomedical Advances
This Master's thesis/semester project focuses on the microfluidic fabrication of microcapsules with multi-environmental responsiveness. The aim is to develop microcapsule-based microrobots capable of adapting to various environmental cues. We envision that these microrobots will be used for complex tasks in biomedical applications.
Keywords
Microfluidics, Microcapsules, Microrobotics, Responsive Polymers, Biomedical Engineering
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Semester Project , Internship , Master Thesis , Student Assistant / HiWi , ETH Zurich (ETHZ)
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Published since: 2026-06-16 , Earliest start: 2026-09-01
Organization Multiscale Robotics Lab
Hosts Hu Minghan
Topics Medical and Health Sciences , Engineering and Technology , Chemistry
Monitoring in-vitro neural network dynamics using microelectrode arrays
Join our interdisciplinary research team to explore the fascinating world of neuronal networks in vitro. These master projects focus on culturing neurons on CMOS-based microelectrode arrays (MEAs) to study their electrophysiological properties. The exact project scope will be tailored to your interests and background, offering a unique opportunity to contribute to cutting-edge neuroscience and bioengineering research.
Keywords
Neuroscience, Cell Culture, CMOS MEA, Electrophysiology, In Vitro Models, Neural Networks, Bioengineering, Neurotechnology
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Semester Project , Internship , Lab Practice , Master Thesis
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Published since: 2026-06-12 , Earliest start: 2026-08-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Medical and Health Sciences , Engineering and Technology , Biology
Hydrogen-Induced Damage in Elastomeric Seals: Experiments and Modelling of Rapid Gas Decompression
Hydrogen technologies rely heavily on elastomeric sealing materials used in storage vessels, compressors, valves, and pipeline systems. During operation, hydrogen can diffuse into rubber materials and accumulate within their microstructure. If pressure is released rapidly, the dissolved gas may expand faster than it can escape, leading to a phenomenon known as Rapid Gas Decompression (RGD). This process can cause internal cracking, blistering, and premature seal failure, representing a critical challenge for the reliability of hydrogen infrastructure. This project combines experimental testing and numerical modelling to investigate the mechanisms governing RGD in elastomeric materials. Hydrogen exposure and decompression experiments will be complemented by modelling of hydrogen diffusion and stress development within the material. The project offers hands-on experience in hydrogen technologies, experimental mechanics, polymer behaviour, and computational modelling while addressing a key challenge for the safe deployment of future hydrogen energy systems.
Keywords
Hydrogen Infrastructure; Elastomeric Seals; Rapid Gas Decompression; Hydrogen Diffusion; Experimental Mechanics
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-06-12 , Earliest start: 2026-08-03 , Latest end: 2027-05-31
Applications limited to ETH Zurich
Organization Experimental Continuum Mechanics
Hosts Hosseini Ehsan
Topics Engineering and Technology
Decoding Material Behaviour from Stress–Strain Histories Using LSTM nets
Machine learning models such as ChatGPT learn to extract meaning from sequences of words and characters. This project explores whether a similar idea can be applied to mechanics: can a neural network learn material properties directly from sequences of stress, strain, and time data? Using Long Short-Term Memory (LSTM) networks, the project aims to develop a framework capable of identifying constitutive model parameters without the need for costly iterative calibration procedures. Building on several previous student projects, the student will have access to existing codes, datasets, and preliminary results, enabling rapid progress while working on a challenging and highly relevant research problem at the intersection of artificial intelligence and computational mechanics.
Keywords
Long Short-Term Memory Networks (LSTM); Constitutive Model Calibration; Material Parameter Identification
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Semester Project , Bachelor Thesis , ETH Zurich (ETHZ)
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Published since: 2026-06-12 , Earliest start: 2026-07-01 , Latest end: 2027-05-31
Applications limited to ETH Zurich
Organization Experimental Continuum Mechanics
Hosts Hosseini Ehsan
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Fatigue Performance of Titanium Implant Materials in Simulated Physiological Environments
Titanium alloys are widely used in orthopedic and dental implants due to their excellent combination of mechanical performance, corrosion resistance, and biocompatibility. However, implants are exposed to complex physiological environments containing proteins, inflammatory species, and cyclic mechanical loading over many years of service. The interaction between these factors may accelerate damage accumulation and reduce fatigue life, potentially affecting long-term implant reliability. This project combines literature review, mechanical testing, and fracture analysis to investigate the influence of biologically relevant environments on the fatigue performance of titanium implant materials. The work will provide valuable insight into the mechanisms governing implant degradation and contribute to the development of safer and more durable medical devices.
Keywords
Biomedical Implants; Titanium Alloys; Fatigue Behaviour; Corrosion-Fatigue; Fractography
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Semester Project , Bachelor Thesis , ETH Zurich (ETHZ)
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Published since: 2026-06-12 , Earliest start: 2026-08-03 , Latest end: 2027-03-31
Applications limited to ETH Zurich
Organization Experimental Continuum Mechanics
Hosts Hosseini Ehsan
Topics Engineering and Technology
Physics-Based Modelling of Hydrogen Embrittlement in Steels
Hydrogen embrittlement is one of the key challenges limiting the safe deployment of hydrogen infrastructure. Hydrogen can diffuse into metallic materials, accumulate at critical microstructural features, and significantly reduce ductility, fracture toughness, and fatigue resistance. Despite decades of research, the underlying mechanisms remain incompletely understood, and reliable predictive models are still under active development. This project combines experimental characterization and physics-based modelling to investigate hydrogen embrittlement in pipeline steels. Students will analyse experimental data, perform targeted mechanical testing, and develop computational models capable of linking hydrogen transport, microstructural interactions, and mechanical degradation. The project offers a unique opportunity to work on a scientifically challenging problem that is central to the future hydrogen economy.
Keywords
Hydrogen Embrittlement; Hydrogen Transport; Hydrogen Trapping; Damage Mechanics; Physics-Based Modelling; Coupled Diffusion-Mechanics
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Master Thesis
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Published since: 2026-06-12 , Earliest start: 2026-07-01 , Latest end: 2027-05-31
Applications limited to ETH Zurich
Organization Experimental Continuum Mechanics
Hosts Hosseini Ehsan
Topics Engineering and Technology
Can Existing Pipelines Safely Transport Hydrogen? A Fracture Mechanics and Finite Element Investigation
Hydrogen is expected to play a key role in the transition towards a low-carbon energy system, with existing pipeline infrastructure offering an attractive route for large-scale hydrogen transport. However, hydrogen can reduce fracture resistance and accelerate crack growth in pipeline steels, creating significant structural integrity challenges. This project investigates the use of finite element methods to improve fracture mechanics assessments of hydrogen pipelines, with particular focus on welded joints and residual stress effects. Building on existing simulation models and previous student projects, the work will involve the validation and application of fracture mechanics methods in ABAQUS, comparison with current engineering assessment procedures, and evaluation of the influence of weld residual stresses on crack-driving forces. The project offers hands-on experience in fracture mechanics and finite element analysis.
Keywords
Hydrogen Embrittlement; Fracture Mechanics; Finite Element Analysis; Pipeline Integrity; Welded Structures
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-06-12 , Earliest start: 2025-09-15 , Latest end: 2026-03-31
Applications limited to ETH Zurich
Organization Experimental Continuum Mechanics
Hosts Hosseini Ehsan
Topics Engineering and Technology
Hydrogen Effects on Additively Manufactured Alloys for Future Hydrogen Gas Turbines
Hydrogen-fuelled gas turbines are expected to play an important role in future low-carbon energy systems by providing flexible and dispatchable power generation. The transition from natural gas to hydrogen, however, raises important questions regarding the long-term performance of structural materials exposed to hydrogen at elevated temperatures. This project investigates the influence of high-temperature hydrogen exposure on the tensile and fatigue behaviour of additively manufactured alloys produced by Laser Powder Bed Fusion (LPBF). Experimental testing will be performed using hollow-specimen methodologies under hydrogen environments at elevated temperatures, while modelling activities will be used to support the interpretation of the results. Particular attention will be given to the role of surface condition by comparing as-built and machined specimens, providing insight into the combined effects of hydrogen exposure, additive manufacturing defects, and surface roughness on material performance.
Keywords
Hydrogen Embrittlement; High Temperatute Hydrogen Attack; Additive Manufacturing; Laser Powder Bed Fusion (LPBF); Fatigue Behaviour; Hydrogen Gas Turbines
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-06-12 , Earliest start: 2026-08-15 , Latest end: 2027-05-31
Applications limited to ETH Zurich
Organization Experimental Continuum Mechanics
Hosts Hosseini Ehsan
Topics Engineering and Technology
Physics-Informed Neural Networks for Parametric Structural Mechanics: Bridging AI and Engineering
Physics-Informed Neural Networks (PINNs) are emerging as a promising alternative to conventional numerical methods by embedding physical laws directly into the learning process. This project investigates the development of parametric PINNs for structural mechanics, with the aim of predicting stress and strain fields across varying geometries, loading conditions, and material parameters. Building on a substantial foundation established through several previous student projects, the work will combine literature review, reproduction and validation of existing results, and systematic evaluation of different PINN formulations and training strategies. The project offers a unique opportunity to gain hands-on experience in scientific machine learning, computational mechanics, and modern AI-driven simulation techniques while contributing to a rapidly evolving research area.
Keywords
Physics-Informed Neural Networks (PINNs); Scientific Machine Learning; Structural Mechanics; Parametric Analysis; Computational Mechanics; Finite Element Validation
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Semester Project , Bachelor Thesis
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Published since: 2026-06-11 , Earliest start: 2026-07-01 , Latest end: 2026-11-30
Applications limited to ETH Zurich
Organization Experimental Continuum Mechanics
Hosts Hosseini Ehsan
Topics Engineering and Technology
Micromechanical Modeling of Fracture and Interlayer Weakening in 3D-printed Concrete
3D-printed concrete (3DPC) is an emerging construction technology that enables material-efficient and geometrically flexible structures for future infrastructure. However, one of its major limitations is the reduced mechanical performance of the interfaces between printed layers. Since the material is deposited layer by layer, the interlayer region may contain elongated voids, local variations in particle distribution, reduced stiffness, and weaker bonding between consecutive layers. These effects can promote premature crack initiation and reduce the strength of printed components compared to conventionally cast concrete. A promising approach to study these mechanisms is provided by lattice-based fracture models, in which the material is represented by a network of structural elements [1, 2]. Such models can explicitly account for heterogeneity, local defects, and complex fracture paths, making them well suited for investigating interlayer fracture in 3DPC. To better understand fracture in lattice materials, we have developed scalable yet complex research frameworks in C++ and MATLAB. This project aims to establish a reproducible benchmark model in Abaqus inspired by experimental studies on 3DPC interlayer fracture. Based on this benchmark, the student will develop and assess simplified representations of the interlayer zone using modified lattice properties, weakened interfaces, or explicit defect patterns. The project will include a systematic study of modeling assumptions related to stiffness variation, strength reduction, and defect geometry, with the goal of identifying which features are most relevant for capturing the experimentally observed fracture behavior. This project will be carried out in collaboration with experts from Eindhoven University of Technology, who can provide experimental insight and, where available, data for model comparison.
Keywords
Fracture Mechanics, Additive Manufacturing, Computational Mechanics, FEA, Concrete
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Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-06-11 , Earliest start: 2026-09-07 , Latest end: 2027-04-30
Organization Mechanics and Materials
Hosts Kraschewski Kevin
Topics Engineering and Technology
Acceleration of Crack Growth Prediction in Metamaterials by Distributed CPU-GPU Computing
Predicting crack growth in architected and cellular materials requires simulations that resolve large beam networks with complex, localized failure patterns. Unlike classical solids, these materials fracture through the discrete breaking of individual struts, which leads to highly nonlinear behavior. Capturing this behavior accurately demands large-scale finite element computations, where realistic models can easily involve millions to billions of degrees of freedom. To handle these scales, our group is developing an open-source C++ library for scalable finite element simulations, currently optimized for CPU-based parallelism using Open MPI on the Euler cluster of ETH Zurich. However, as system sizes and model fidelity increase, CPU-only workflows become performance-limited. This project aims to overcome these bottlenecks by integrating GPU acceleration into the existing distributed codebase, leveraging NVIDIA GPU hardware to significantly extend the library’s computational efficiency beyond what CPU-based parallelism alone can provide. Throughout this project, the student will contribute to an open-source project, conduct in-depth performance studies, and utilize the developed software to predict fracture behavior in novel materials with different (multi-)material properties, including both linear elastic and plastic regimes.
Keywords
GPU, HPC, Fracture, Accelerators, C++
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-06-11 , Earliest start: 2026-09-20 , Latest end: 2027-04-30
Organization Mechanics and Materials
Hosts Kraschewski Kevin
Topics Information, Computing and Communication Sciences , Engineering and Technology
Underwater Jellyfish Robot: Design, Modeling, and Control
In this project, the student would help a PhD to finish a work involving an underwater robot that is inspired by jellyfish. A first prototype exists, yet many changes need to be made to the hardware before proper modeling and control can be applied.
Keywords
Soft robot, underwater, mechanical design.
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-06-10 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Michelis Mike , Katzschmann Robert, Prof. Dr.
Topics Engineering and Technology
Deployment and Programming of a Dextrous Robotic Hand to Study the Effect of Abduction in Robotic Dexterity
Deployment and programming of CyberGriper2, a dextrous robotic hand with coordinated finger adduction/abduction developed at the Soft Robotic Lab (SRL) at ETH Zürich, to investigate the effect of coupled ab/d motion on dexterous manipulation. Building on prior static grasping results that demonstrated significant improvements in grasp coverage, dexterity is evaluated dynamically using POMDAR (A Benchmark of Dexterity for Anthropomorphic Robotic Hands)¹, a systematic benchmarking framework grounded in manipulation and grasp taxonomies. The hand is evaluated first via teleoperation and subsequently through a learned autonomous controller, enabling direct comparison of dexterity across different hand architectures.
Keywords
Dexterous manipulation, robotic hand, abduction, teleoperation, motion retargeting, dexterity benchmark, autonomous manipulation, learning from demonstration
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Semester Project , Master Thesis
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Published since: 2026-06-10 , Earliest start: 2026-06-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Katzschmann Robert, Prof. Dr. , Appius Aurel , Hinchet Ronan
Topics Engineering and Technology
Electrostatic Actuators for Automation Systems
This project focuses on integrating HALVE (Hydraulically Amplified Low-Voltage Electrostatic) actuators into a proportional valve design in collaboration with an industrial partner. HALVE actuators are soft, pouch-based electrostatic devices that operate at voltages 5–10× lower than conventional systems, making them promising candidates for silent, lightweight fluid control applications. The student will rapidly prototype and test a series of actuator geometries tailored to meet the partner's valve specifications.This project offers a unique joint academia–industry experience.
Keywords
soft robotics, low-voltage actuation, electrostatic actuators, proportional valves, rapid prototyping, HALVE, mechatronics, fluid control, fabrication, industry collaboration
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Semester Project , Bachelor Thesis
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Published since: 2026-06-09 , Earliest start: 2026-07-01 , Latest end: 2027-02-28
Applications limited to ETH Zurich
Organization Soft Robotics Lab
Hosts Hinchet Ronan , Katzschmann Robert, Prof. Dr. , Albayrak Deniz
Topics Engineering and Technology
Neuroengineering: Controlling and Studying Neuronal Networks In Vitro
This project offers the opportunity to investigate neuronal communication using in vitro models of neural networks. In addition to cultivating and maintaining neuronal cultures, the work may involve shaping neuronal circuits through different methods, actively shaping connectivity and functional organization. Advanced imaging techniques will be used to study neuronal activity and interactions within these controlled systems. A key component of the project is the development and optimization of experimental and analytical methods to interrogate neuronal dynamics, with potential applications in pharmacological screening and neurobiological research.
Keywords
Neuroscience, Neuronal Networks, In Vitro Models, Cell Culture, Microscopy, Biomedical Engineering
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Semester Project , Internship , Lab Practice , Master Thesis
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Published since: 2026-06-08 , Earliest start: 2026-09-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Medical and Health Sciences , Engineering and Technology , Biology
Industry Experience in ML & Software with Audi F1, Siemens and many more
Forget the synthetic dataset. Here you get terabytes of real telemetry, a real production constraint and a partner who will deploy what you build. Choose your problem.
Keywords
simulation, robotics, control, prototyping, software, development, mvp, poc, product development, agile, impact, industry, computer science, information technology, optimization
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Semester Project , Course Project , Collaboration , Internship , Lab Practice , Master Thesis
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Published since: 2026-06-08 , Earliest start: 2026-09-14 , Latest end: 2027-03-31
Organization pd|z Product Development Group Zurich
Hosts von Salis Marco
Topics Information, Computing and Communication Sciences
Material Science in Industry: From F1 Composites to Carbon-Negative Concrete
Materials are where physics meets the real world. Here you take a material from formulation to characterisation to a partner who needs it to perform. Pick your material:
Keywords
material science, design, simulation, fabric, soft materials, prototyping, product development, agile, impact, industry, rapid prototyping
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Semester Project , Course Project , Internship , Master Thesis
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Published since: 2026-06-08 , Earliest start: 2026-09-14 , Latest end: 2027-03-31
Organization pd|z Product Development Group Zurich
Hosts von Salis Marco
Topics Engineering and Technology , Chemistry
Cuffless blood pressure estimation through wearable sensors and AI
This project explores machine learning methods to estimate blood pressure from wearable photoplethysmography signals, progressing from single-site public datasets to multi-site measurements to enhance accuracy through spatial cardiovascular dynamics.
Keywords
blood pressure assessment, biomedical signal analysis, data science, medical technologies, and digital health
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-06-08 , Earliest start: 2026-05-18 , Latest end: 2027-02-28
Organization Biomedical and Mobile Health Technology Lab
Hosts Otesteanu Corin, Dr , Dominguez Federico
Topics Information, Computing and Communication Sciences
Product Development with Industry Partners: Audi F1, VAT & V-ZUG
You did not study mechanical engineering to optimise a textbook beam. Here you get a real component, a real partner, a world-class maker space — and six months to make something that matters.
Keywords
mechanical engineering, design, simulation, fem, robotics, control, prototyping, product development, agile, impact, industry
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Semester Project , Course Project , Internship , ETH Zurich (ETHZ)
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Published since: 2026-06-08 , Earliest start: 2026-09-14 , Latest end: 2027-03-31
Organization ETH Exploration Lab
Hosts von Salis Marco
Topics Engineering and Technology
Turn Deep Tech into Real Business: Innovation Strategy with Audi F1, Holcim & Bossard
Don’t analyse a case from 2015 — build the business case, run the customer discovery and de-risk a real product with a real company. This is where technology becomes a business. You will sit between brilliant engineering and a real market, and answer the only question that matters: will anyone pay for this?
Keywords
innovation management, business model, business development, go-to-market, customer discovery, market analysis, market sizing, unit economics, financial modeling, pricing strategy, value proposition, technology transfer, commercialization, entrepreneurship, startup, venture, deep tech, B2B, product management, strategy, lean startup, MVP, circular economy, supply chain, Industry 4.0, sustainability strategy, willingness to pay, agile, scale-up
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Internship , Master Thesis
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Published since: 2026-06-08 , Earliest start: 2026-09-14 , Latest end: 2027-03-31
Organization pd|z Product Development Group Zurich
Hosts von Salis Marco
Topics Engineering and Technology , Economics , Commerce, Management, Tourism and Services
Sustainability Engineering with Holcim & MAC Jeans
Cement, denim, devices — take on the high-impact, hard-to-abate sectors and build the roadmap to net zero. The easy emissions are already being cut. The hard ones — cement, textiles, industrial supply chains — are where the real fight is. Here you get the data, the partner and the mandate to make a dent.
Keywords
sustainability, life cycle assessment, LCA, decarbonization, net zero, carbon footprint, CO2 capture, emissions, climate, circular economy, environmental modeling, systems thinking, material flow analysis, resource efficiency, energy efficiency, hard-to-abate sectors, green transition, ecodesign, environmental impact, sustainable supply chain, textile sustainability, cement decarbonization, environmental data, agile, development
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Internship
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Published since: 2026-06-08 , Earliest start: 2026-09-14 , Latest end: 2027-03-31
Organization pd|z Product Development Group Zurich
Hosts von Salis Marco
Topics Agricultural, Veterinary and Environmental Sciences
⚡ Power the Podium: Electronics, Control & Sensing with Audi F1 and Siemens
Signals, power, control. Here is where your circuits and controllers leave the lab bench and go into systems that win races, save buildings and build the chips the world runs on. Our industry partners give the problems - you find the solution.
Keywords
usability, pcb design, high-tech, rapid prototyping, sustainability, industrial automation, mechanical design, mechanical engineering, automation, process design, robotics, machine learning, applied AI, food processing, advanced materials, agile, development, product development, control, material science, computer science, electrical engineering, programming
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Semester Project , Course Project , Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-06-08 , Earliest start: 2026-09-14 , Latest end: 2027-03-31
Organization ETH Exploration Lab
Hosts von Salis Marco
Topics Information, Computing and Communication Sciences , Engineering and Technology
Engineering of Gastroretentive Drug Delivery systems
Polymer-based drug delivery systems play a central role in shaping modern therapeutics, offering controlled release behavior and improved patient compliance. Yet traditional formulation development still relies largely on resource-intensive and time-consuming iterative experimentation to balance the complex interactions between polymer composition, processing parameters, and drug release behavior. This project aims to build a comprehensive understanding of how formulation variables govern functional performance by integrating active ingredient’s encapsulation studies, rheological and mechanical analyses, and detailed release-kinetic profiling. The resulting dataset will later support data-driven modelling, enabling faster identification of promising compositions. This approach not only streamlines pharmaceutical development but also advances sustainable practices by minimizing material waste, positioning data-driven formulation as a cornerstone of next-generation smart therapeutics.
Keywords
Drug Delivery Polymer formulation Advanced manufacturing Machine learning
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Semester Project , Internship , Master Thesis
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Published since: 2026-06-05 , Earliest start: 2026-06-08 , Latest end: 2027-08-31
Applications limited to Balgrist Campus , EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , Fernfachhochschule , Zurich University of Applied Sciences , University of Zurich , University of Basel , University of Berne , Institute for Research in Biomedicine , Hochschulmedizin Zürich , Empa
Organization Macromolecular Engineering Laboratory
Hosts Guzzi Elia
Topics Medical and Health Sciences , Engineering and Technology , Chemistry
Probing Identifiability: Material Parameter Recovery in Differentiable Continuum Mechanics Simulations
Predicting how solid materials deform and fail under load is a core challenge in manufacturing, civil engineering, and robotics, which is typically addressed with a continuum mechanics-based simulation such as the Material Point Method (MPM) or the Finite Element Method (FEM). However, their accuracy depends critically on correct material parameterization. Differentiable MPM simulators open a path toward gradient-based parameter identification, enabling material properties to be recovered by minimizing discrepancies between simulation and observation. Using a differentiable MPM, this project investigates the conditions under which such identification is unique and well-posed: what boundary conditions and measurements are necessary, how cost functions should be designed, and how initialization strategies affect convergence.
Keywords
Material Point Method (MPM) Differentiable simulation Inverse problems Parameter identification Continuum mechanics Gradient-based optimization Constitutive modeling Elasto-plasticity Virtual experiment design In-situ material characterization
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Semester Project , Bachelor Thesis , ETH Zurich (ETHZ)
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Published since: 2026-06-05 , Earliest start: 2026-06-08 , Latest end: 2027-03-01
Applications limited to ETH Zurich , Department of Mechanical and Process Engineering , Institute of Virtual Manufacturing , Advanced Manufacturing Laboratory
Organization Advanced Manufacturing Laboratory
Hosts Bolliger Diego
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Building with Rocks: Autonomous Construction with Heavy Machinery under Partial Observability
Autonomous heavy machinery has the potential to transform construction, enabling new sustainable building paradigms such as dry-stone walls, irregular masonry, and rubble-based structures that today require costly skilled labor. Unlike standardized bricks or prefabricated blocks, natural rocks are irregular, heavy, and unique: their geometry, mass distribution, and graspable surfaces are unknown a priori, and during construction they must be perceived, grasped, and stacked under significant partial observability, rocks may be partially buried, mutually occluded, or only visible from a few viewpoints reachable by the machine. Keywords: machine learning, deep learning, reinforcement learning, diffusion, construction robotics, space robotics
Keywords
machine learning, deep learning, reinforcement learning, diffusion, construction robotics, space robotics
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Semester Project , Master Thesis
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Published since: 2026-06-02
Organization Robotic Systems Lab
Hosts Canales Claudio , Gouveia Marina
Topics Information, Computing and Communication Sciences , Engineering and Technology
Development of a Heterocellular Human Bone Organoid for Precision Medicine and Treatment
Our goal is to establish a heterocellular 3D printed bone organoid model comprising all major bone cell types (osteoblasts, osteocytes, osteoclasts) to recapitulate bone remodeling units in an in vitro system. The organoids will be produced with the human cells, as they could represent human pathophysiology better than animal models, and eventually could replace them. These in vitro models could be used in the advancement of next-generation personalised treatment strategies. Our tools are different kinds of 3D bioprinting platforms, bio-ink formulations, hydrogels, mol-bioassays, and time-lapsed image processing of micro-CT scans.
Keywords
3D printing, bone organoids, co-culture, bioreactor, hydrogels, drug testing
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Semester Project , Internship , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-06-01 , Earliest start: 2026-07-01 , Latest end: 2027-07-01
Organization Müller Group / Laboratory for Bone Biomechanics
Hosts Steffi Chris
Topics Engineering and Technology , Biology
PDMS-Based Bioreactor Investigating Cell Behavior in Response to Hydrostatic Pressure and Substrate Stiffness
Introduction and Background Skin cells dynamically respond to mechanical and biochemical stimuli, which influence critical processes such as proliferation, differentiation, and migration. By understanding this interplay, mechanical and biochemical stimuli may be used in the future to facilitate the growth of skin patches, tissue formation, and organ regeneration, enabling new therapies and benefiting patients. The study of these responses, mechanobiology, requires advanced in-vitro systems to emulate physiological conditions. This project utilizes a device designed for controlled manipulation of hydrostatic pressure (0.1–1.5 kPa) and substrate stiffness (0.1–100 kPa). The system facilitates isolated and scalable experiments to analyze how the interplay of these mechanical parameters affects cell behavior. In this thesis, the student will use this system to investigate how different stimuli affect cell behavior.
Keywords
Bioreactor, tissue engineering, organ regeneration
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Master Thesis
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Published since: 2026-06-01 , Earliest start: 2025-09-01 , Latest end: 2026-03-05
Organization Macromolecular Engineering Laboratory
Hosts Binz Jonas
Topics Engineering and Technology , Biology
Bidexterous Manipulation with Tactile Feedback
Humanoid robots are increasingly equipped with dexterous hands that enable them to interact with objects in more flexible, human-like ways. However, robust manipulation remains challenging, especially when relying only on external perception. The BrainCo Revo 2 hands provide tactile sensing on the fingertips, opening the possibility of combining touch with exteroceptive observations for object interaction. In this project, the student will develop a manipulation pipeline for tabletop tasks using the G1 humanoid and BrainCo dexterous hands. The project will study how combining exteroceptive perception with tactile feedback can improve manipulation performance. The final goal is to build and evaluate a first visuo-tactile manipulation pipeline for a bimanual dexterous platform, with a focus on understanding how tactile feedback can improve object-centric manipulation.
Keywords
Humanoid Manipulation, Dexterous Hands, Tactile Sensing, Visuo-Tactile Fusion, Robot Learning
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Published since: 2026-05-30 , Earliest start: 2026-06-01 , Latest end: 2027-03-01
Organization Robotic Systems Lab
Hosts Bhardwaj Arjun
Topics Information, Computing and Communication Sciences , Engineering and Technology
RL Finetuning for Generalized Locomotion
This project investigates the potential of reinforcement learning (RL) fine-tuning to develop a single, universal locomotion policy for quadruped or humanoid robots. Building on prior work in multi-terrain skill synthesis [1], we will probe the limits of generalization by systematically fine-tuning on an ever-expanding set of diverse environments. This incremental approach will test the hypothesis that a controller can learn to robustly navigate a vast range of terrains. As a potential extension, procedural terrain generation may be used to automatically create novel challenges, pushing the boundaries of policy robustness.
Keywords
Reinforcement Learning, Locomotion, Quadruped, Humanoid
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Master Thesis
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Published since: 2026-05-29 , Earliest start: 2026-02-01
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Organization Robotic Systems Lab
Hosts Schwarke Clemens , He Junzhe
Topics Information, Computing and Communication Sciences
High-speed locomotion learning on the Unitree A2 Quadruped
This project aims to develop robust high-speed locomotion for the Unitree A2 quadrupedal robot. The goal is to train and deploy omnidirectional locomotion policies capable of reaching up to 5 m/s while respecting thermal and actuator limits. The student will combine literature research, reinforcement learning in simulation, thermal dynamics modeling, and real-world deployment on the robot.
Keywords
Legged robotics, quadrupedal locomotion, reinforcement learning, PPO, sim-to-real transfer, high-speed locomotion, thermal modeling, actuator constraints, Unitree A2, robot learning
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Semester Project , Master Thesis
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Published since: 2026-05-29 , Earliest start: 2026-06-28 , Latest end: 2027-03-01
Organization Robotic Systems Lab
Hosts Bjelonic Filip
Topics Information, Computing and Communication Sciences , Engineering and Technology
Propose Your Own Robotics Project
This project invites you to step into the role of an innovator, encouraging you to identify challenges you are passionate about within the field of robotics. Rather than working on predefined problems, you will have the freedom to propose your own project ideas, address real-world issues, or explore cutting-edge topics. This project allows you to define your own research journey.
Keywords
Robotics, Research
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-05-29 , Earliest start: 2025-01-27
Organization Robotic Systems Lab
Hosts Schwarke Clemens , Bjelonic Filip , Klemm Victor
Topics Information, Computing and Communication Sciences
Innovation Traineeship in Industry
ETH Zürich's Exploration Lab is partnering with multiple companies, such as Audi F1, V-Zug, J&J, Siemens, Holcim, SHL Medical, MAC Jeans, Bossard and VAT. We offer a unique opportunity: You have the freedom to work on real-world projects across multiple domains based on your interest. Best thing: Get an internship, course and thesis all-in-one.
Keywords
usability, high-tech, rapid prototyping, sustainability, industrial automation, mechanical design, mechanical engineering, automation, process design, robotics, machine learning, applied AI, food processing, advanced materials, agile, development, product development, control, material science, computer science, electrical engineering
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Semester Project , Collaboration , Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-29 , Earliest start: 2026-09-14 , Latest end: 2027-03-31
Organization ETH Exploration Lab
Hosts von Salis Marco
Topics Agricultural, Veterinary and Environmental Sciences , Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Earth Sciences
Online Semantic Gaussian Splatting and RL for Mobile Robots
In this project, we aim to extend a Gaussian Splatting framework by integrating online semantics and build an RL framework that draws from both geometry and semantics in real time. We would like to explore how these semantically enriched representations can improve generalizable robot learning and sim-to-real transfer on agile mobile robots.
Keywords
Gaussian Splatting, Semantics, VFM, Reinforcement Learning, 3D Vision
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Master Thesis
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Published since: 2026-05-27 , Earliest start: 2026-06-08
Organization Robotic Systems Lab
Hosts Gawel Abel
Topics Information, Computing and Communication Sciences
How Mechanical Forces Shape Cell Fate – and the Future of Regenerative Medicine
Project Summary We’re developing a powerful new in vitro model to untangle the complex mechanical cues—osmotic pressure and substrate stiffness—that skin cells experience every day. These signals are deeply intertwined in the body, but we’re building a system to decouple and precisely control them, for the first time. Why? Because understanding how cells respond to these forces is crucial for engineering functional tissues, guiding organ regeneration, and tackling mechanobiology-driven diseases like fibrosis.
Keywords
Key words: mechanical stresses, cell behavior, fibroblasts, immunostaining.
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Master Thesis
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Published since: 2026-05-26 , Earliest start: 2026-07-02 , Latest end: 2027-02-28
Organization Macromolecular Engineering Laboratory
Hosts Cuni Filippo
Topics Medical and Health Sciences , Engineering and Technology , Biology
Operator Learning for Solid Mechanics
We aim to develop general and flexible strategies that can be applied to operator learning frameworks and are specific to challenges appearing in solid mechanics problems.
Keywords
Scientific Machine Learning; SciML; Plasticity; Solid Mechanics; Operator Learning; Artificial Intelligence for Science; Machine Learning;
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Semester Project , Master Thesis
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Published since: 2026-05-19 , Earliest start: 2026-09-01
Organization Computational Mechanics Group
Hosts Mousavi Sepehr
Topics Information, Computing and Communication Sciences , Engineering and Technology
Agentic AI for Creating Large Solid Mechanics Datasets
We aim to design and create a framework that uses language model agents to create large physics datasets with minimum human intervention or supervision.
Keywords
Solid Mechanics; Material Modeling; Scientific Machine Learning; SciML; Finite element method; Large language models; LLMs; Agentic AI; NLP
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Master Thesis
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Published since: 2026-05-19 , Earliest start: 2026-02-16
Organization Computational Mechanics Group
Hosts Mousavi Sepehr , Massoudi Soheyl
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology
FactoryNet: Training Data and Foundational Models for Industrial AI
Unplanned downtime costs manufacturers $2.3M per hour, yet no open dataset connects sensor telemetry to structured fault diagnosis at scale. Forgis is building HYPERION, the first foundation model for cyberphysical systems (EUR 3.8M funding,$500kcompute credits). FactoryNet is its training data engine — 1M+ causally-structured, multimodal episodes spanning 15+ machine types — just awarded 50,000 GPU-hours on CSCS Alps through the Swiss AI Initiative.
Keywords
Robotics, Control, AI, Foundation Model, Industrial Automation
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Master Thesis
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Published since: 2026-05-18 , Earliest start: 2026-05-31 , Latest end: 2027-05-31
Organization pd|z Product Development Group Zurich
Hosts Gimeno Lucas
Topics Engineering and Technology
Emergent Acoustic Communication in Robot Groups
Can robots develop their own communication system through sound? We are looking for motivated students to join an interdisciplinary research project at the intersection of robotics, AI, acoustic signaling, and collective behavior.
Keywords
Emergent acoustic communication, Robot Learning, multi-agent communication.
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Semester Project , Master Thesis
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Published since: 2026-05-16 , Earliest start: 2026-05-15
Organization Robotic Systems Lab
Hosts An Tianxu , Wang Shengzhi
Topics Information, Computing and Communication Sciences , Engineering and Technology
The Shape of Growth: Simulating Stress and Form in Living Matter
Are you interested in exploring the exciting intersection of solid mechanics, transport phenomena, and soft matter physics? In this project, you will model how internal stresses and material patterns emerge when a soft, living-like material grows while being fed by a diffusing nutrient. You will build a simple but powerful 2D multiphysics model—from the physics all the way to the simulation—using modern differentiable tools. You’ll treat growth as an anisotropic eigenstrain driven by a nutrient field around a circular “biofilm-like” inclusion. By coupling diffusion with mechanical constraint, you will discover how even modest, non-uniform growth can generate complex stress fields, directional patterns, and the first signs of damage. This hands-on project offers an accessible introduction to multiphysics modeling while revealing how growth and mechanics compete to shape living and soft materials.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-15 , Earliest start: 2026-08-01 , Latest end: 2027-03-01
Organization Solid Mechanics (Prof. Kammer)
Hosts van Jan
Topics Engineering and Technology , Biology , Physics
Mix and match: hybrid materials for tunable mechanical response
Architected materials leverage their topology to deliver customized properties unattainable with monolithic materials. Their global mechanical behavior, including stiffness, strength, and failure, depends on both the topology and the properties of the constituent material. This project investigates the fracture and deformation behavior of polymer, fiber composites, and hybrid architected materials, using additive manufacturing and mechanical testing. The goal is to understand the influence of the reinforcement and local material stretchability on the network response and whether different phases could produce unconventional mechanical responses, such as enhanced toughness, delayed failure, or tunable energy dissipation. The project is multi-faceted, combining additive manufacturing, mechanical testing, and data analysis, and can be adapted to the expertise and interests of the student.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-15 , Earliest start: 2026-08-01 , Latest end: 2027-03-01
Organization Solid Mechanics (Prof. Kammer)
Hosts van Jan
Topics Engineering and Technology , Physics
From Pixels to Models: Bridging Optical Measurements and Fi nite Element Simulations of Lattice Failure
Architected materials derive unique mechanical properties from their engineered internal geometry. However, understanding how these materials fail is challenging because their failure is a complex, multiscale process, yet essential for designing materials with targeted failure behavior. Optical techniques such as digital image correlation (DIC) offer a promising way to link the deformation of individual beams within a lattice to the overall failure of the structure. The goal of this project is to evaluate whether finite element simulations can accurately reproduce the deformations measured by DIC and whether the numerically predicted failure strains result in a crack path consistent with experimental observations. Depending on the student’s interests, the project can focus solely on numerical simulations or include experimental testing of 3D-printed lattice specimens combined with optical imaging.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-15 , Earliest start: 2026-08-01 , Latest end: 2027-03-01
Organization Solid Mechanics (Prof. Kammer)
Hosts van Jan
Topics Engineering and Technology , Physics
Fundamental understanding of the mechanics of fresh cement paste
The properties of fresh cement paste have become a big research topic since the advent of concrete 3D printing a decade ago. While we are able to print large-scale structures, we surprisingly lack fundamental understanding of the processes governing fresh cement paste stiffening. This is because when cement paste is in its fresh state, there are complex physical and chemical reactions taking place simultaneously. A recent experimental protocol coupled measurements of chemical reactions to the stiffening of the paste, allowing to gain deep fundamental understanding of the origins of fresh cement paste stiffening (https://www.sciencedirect.com/science/article/pii/S0008884624002461, https://ceramics.onlinelibrary.wiley.com/doi/10.1111/jace.70271). The idea of the present project isto apply the same state-of-the-art protocol to “clean” systems (tricalcium silicate paste rather than cement paste), which will allow to settle current debates in the cement community.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-15 , Earliest start: 2026-08-01 , Latest end: 2027-03-01
Organization Solid Mechanics (Prof. Kammer)
Hosts van Jan
Topics Engineering and Technology , Architecture, Urban Environment and Building , Physics
Investigation and optimization of the experimental setup of rammed earth test specimens
The influence of the experimental setup of rammed earth specimens on their compressive strength is poorly understood. The common technique to prepare rammed earth samples for compression tests is to float their surfaces with a thin gypsum layer. However, to which extend is this method affecting the clamping of the sample and therefore the compressive strength? Can a uniaxial stress state be guaranteed? The idea of this project work is to (1) conduct research about the experimental setup for cubic samples and wall elements used in masonry, serving as a comparison to rammed earth; (2) Produce rammed earth samples and perform compression tests applying different test setups; (3) Propose more precise and time-efficient methods to float rammed earth samples.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-15 , Earliest start: 2026-08-01 , Latest end: 2027-03-01
Organization Solid Mechanics (Prof. Kammer)
Hosts van Jan
Topics Earth Sciences , Architecture, Urban Environment and Building , Physics
Contact mechanics of lattices with engineered surfaces
Architected lattice materials offer vast opportunities for tailoring mechanical response through geometry. While most studies emphasize bulk behavior, the mechanics of contact of architected lattices with engineered surface topographies remain largely unexplored. This project investigates how variations in surface profile geometries influence frictionless contact behavior. How do changes in topography shape affect the evolution of real contact area, pressure distribution, and load-displacement response? Can these effects be systematically captured through numerical simulations? The student will first generate lattice geometries with controlled surface descriptions and then simulate their contact with rigid surfaces to reveal the underlying mechanisms governing their macroscopic response.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-15 , Earliest start: 2026-08-01 , Latest end: 2027-03-01
Organization Solid Mechanics (Prof. Kammer)
Hosts van Jan
Topics Engineering and Technology , Physics
Computational modeling of reactive and non-reactive multiphase flow processes
This project employs numerical modeling of reactive and non-reactive multiphase flow and transport processes relevant to a wide range of engineering and environmental systems. Using computational fluid dynamics (CFD) and custom numerical tools, the work aims to simulate coupled flow, transport, and reaction phenomena in porous and non-porous materials.
Keywords
Numerical simulations; Flow and transport modeling; Computational fluid dynamics (CFD); OpenFOAM; Coding; Porous media; Building materials; Corrosion; Material degradation; Computational modeling; Reactive processes.
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Bachelor Thesis , Master Thesis
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Published since: 2026-05-15
Organization Durability of Engineering Materials (Prof. Angst)
Hosts Malenica Luka
Topics Agricultural, Veterinary and Environmental Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Earth Sciences , Chemistry , Physics
Time Changes Everything, Including the Fracture of Soft Materials
Soft materials are fascinatingly stretchable and resistant — just think about your skin, muscles, and brain, or other artificial materials like the rubber band in a slingshot and the hydrogels used for drug delivery. Why are they able to undergo such extreme deformations? What exactly happens when they finally break? If you hold soft materials under a constant load or in a stretched position, or apply force at varying rates, their mechanical response changes over time—a property known as viscoelasticity. You may have heard of creep (a slow, continuous deformation under load), typically observed in materials like concrete. Now, imagine this process happening faster, and in a highly stretched material like a rubber band. How do these viscoelastic phenomena influence the fracture mechanism? In this project, you will learn about vis- coelasticity, soft materials, perform advanced FEM simulations using ETH supercomputers, and analyze your results to understand this process from a fundamental level.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-15 , Earliest start: 2026-08-01 , Latest end: 2027-03-01
Organization Solid Mechanics (Prof. Kammer)
Hosts van Jan
Topics Engineering and Technology , Physics
An Atomistic Understanding of Cracks in Soft Materials
Soft materials are fascinatingly stretchable and resistant — just think about your skin, muscles, and brain, or other artificial materials like the rubber band in a slingshot and the hydrogels used for drug delivery. Why are they able to undergo such extreme deformations? What exactly happens when they finally break? At the atomistic scale, soft materials are far from smooth. They are chaotic, tangled webs of polymer chains joined by cross-links. Imagine a microscopic bowl of spaghetti where every strand is fighting against tension. We want to study these soft networks to get insights into their local behavior and understand precisely how these microscopic events lead to macroscopic fracture. Do you want to uncover the secrets behind the toughness of soft networks? In this project, you will learn about soft materials, perform advanced atomistic simulations using ETH supercomputers and analyze your results to understand the physics of the problem from a fundamental level.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-15 , Earliest start: 2026-08-01 , Latest end: 2027-03-01
Organization Solid Mechanics (Prof. Kammer)
Hosts van Jan
Topics Engineering and Technology , Physics
Developing Multi-Functional Microrobots Using Microfluidic Chips (3M project)
We are looking for a motivated Master’s student to join an exciting interdisciplinary thesis project, collaborating between the Multi-Scale Robotics Lab (D-MAVT) and the deMello group (D-CHAB) at ETH Zurich. This project focuses on creating a novel microfluidic-based bottom-up method to fabricate multifunctional microrobots. This innovative approach seeks to revolutionize microrobot fabrication, opening the door to diverse new applications.
Keywords
Microfluidics, Self-assembly, Microrobots
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-15 , Earliest start: 2026-09-14
Organization Multiscale Robotics Lab
Hosts Hu Minghan
Topics Engineering and Technology , Chemistry
The Great Encyclopedia of Cracks in Soft Materials
Soft materials are fascinatingly stretchable and resistant — just think about your skin, muscles, and brain, or other artificial materials like the rubber band in a slingshot and the hydrogels used for drug delivery. Why are they able to undergo such extreme deformations? What exactly happens when they finally break? Soft materials exhibit a broad range of complex, highly nonlinear behaviors that require specialized constitutive laws. Think of these as the advanced evolution of Hooke’s Law — equations capable of describing materials that stretch far beyond the linear limit. Consequently, unlike traditional materials such as glass or concrete, there is no ’textbook’ explaining how soft materials break. The aim of this project is to bridge this fundamental gap in our understanding. You will learn about soft materials, perform advanced FEM simulations using ETH supercomputers and analyze different nonlinear elastic constitutive laws generating valuable information that does not exist yet.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-15 , Earliest start: 2026-08-01 , Latest end: 2027-03-01
Organization Solid Mechanics (Prof. Kammer)
Hosts van Jan
Topics Engineering and Technology , Physics
Numerical modeling of fracture
This project focuses on the numerical investigation and computational implementation of a phase-field formulation for brittle fracture in deformable solids. Phase-field models provide a diffuse-interface representation of crack evolution, enabling the simulation of crack initiation, propagation, branching, and coalescence without explicit crack tracking. The primary objective is to develop a robust and efficient finite element–based implementation of a coupled displacement–damage phase-field system derived from variational fracture mechanics. The governing equations, consisting of a mechanical equilibrium equation and a phase-field evolution equation, will be discretized using appropriate spatial and temporal schemes, with particular attention to numerical stability, mesh resolution requirements, and irreversibility constraints on damage evolution.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-15 , Earliest start: 2026-08-01 , Latest end: 2027-03-01
Organization Solid Mechanics (Prof. Kammer)
Hosts van Jan
Topics Engineering and Technology , Physics
Testing the Limits of Seismic Inversions
How reliable are the methods used to infer fracture energy from real earthquakes? Fracture energy, the energy dissipated on a fault during rupture, plays a key role in determining earthquake dynamics and scaling laws. Yet, its actual value and scaling behavior remain controversial: some studies suggest it increases with earthquake magnitude, while others argue it is a material constant. In this project, you will evaluate one widely used approach that estimates fracture energy from kinematic inversions of seismic data. The idea is to test how well this method performs when the ground truth is known. You will simulate earthquake ruptures, extract the resulting displacement fields, and then downsample them to match the limited resolution of real seismic observations. By applying the same inversion techniques that seismologists use, you will assess how much information about fracture energy can truly be recovered and where the current methods fail. This project offers a unique opportunity to combine earthquake mechanics, numerical modeling, and data analysis to challenge a long-standing assumption in seismology and gain deep insight into the physics of fault rupture.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-15 , Earliest start: 2026-08-01 , Latest end: 2027-03-01
Organization Solid Mechanics (Prof. Kammer)
Hosts van Jan
Topics Engineering and Technology , Earth Sciences , Physics
From Re-Cycling to Re-Use: Discovery of new Kirigami-inspired Magneto-Elastic materials
Can mechanical properties change after material synthesis? Engineering materials are commonly optimized to perform one task extremely well. But what when instead of recycling, one can change material properties on the fly? Then, without increasing the embodied energy by mechano-chemical processing, materials will be re-usable after minimal external work! In this project, we exploit Magneto-Elastica (magnets moving in their own field) and Kirigami (manufacturing by cutting). Specifically, we discover a design strategy to control material stability without remote control. You will use and build upon existing numerical models to explore the design space of magnets embedded in elastic bodies. You will make a real-world model by additive manufacturing. This proof-of-concept model will display at least two material responses that are reachable with minimal external manipulation.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-15 , Earliest start: 2026-08-01 , Latest end: 2027-03-01
Organization Solid Mechanics (Prof. Kammer)
Hosts van Jan
Topics Engineering and Technology , Physics
MESHA Material: Magneto Elastic Self-Healing Architectured Material
Fabrication of architected materials through self-assembly of elementary units offers advantages over monolithic solids including recyclability and miniaturization. While self-assembly is prevalent in atomic synthesis, it is sparse at the macroscale. Recent success in the assembly of rigid lattices with sticky magnetic vertices showcase fracture toughening and self-healing. However, the discovery of lattice topologies of minimum embodied energy remains a challenge. The aim of this project is to numerically synthesize space-filling semi-, demi- and regular topologies for magneto-elastic lattices. You will use open-source, Monte Carlo-based, self-assembly code of rigid units with diverse shapes and magnetic orientations. Secondly, you will asses the mechanical stability of the most promising, synthesized magneto-elastic lattices. The magneto-elastic architectured material will combine high strength and fracture toughness, properties that are usually mutually exclusive.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-15 , Earliest start: 2026-08-01 , Latest end: 2027-03-01
Organization Solid Mechanics (Prof. Kammer)
Hosts van Jan
Topics Engineering and Technology , Physics
Rolling, Gliding, Tumbling and Jumping: Transient Instabilities of Packaged Mail on Conveyor Belts
Self-Excited vibration and lift-off (loss of contact) present big concerns in engineering applications of conveyor belts. However, the friction law between the object and the conveyor belt one uses is simplified for tractability sake; the transient response of the belt is neglected. In this project, we investigate the initial conditions and system characteristics that lead to self-excited vibrations, lift-off and chaotic motion of the mass-on-moving-belt system. The goal is to couple a two-degrees-of-freedom harmonic oscillator and an existing boundary element method. You will implement a time-marching scheme, optimise and transfer existing code, to compare numerical results with existing theory. The outcomes of this project include the effect of initial conditions, changes in loading rate and characteristic material time on the mass-on-moving-belt response.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-15 , Earliest start: 2026-08-01 , Latest end: 2027-03-01
Organization Solid Mechanics (Prof. Kammer)
Hosts van Jan
Topics Engineering and Technology , Physics
Can an AI Rediscover the Laws of Physics? A Machine Learning Approach to Beam Theory
Are you interested in exploring the exciting intersection of solid mechanics and artificial intelligence? In this project, you will investigate whether a machine learning model can autonomously rediscover the fundamental principles of classical beam theory. You will use a Variational Autoencoder (VAE), a powerful generative model from the world of AI, to analyze high-fidelity Finite Element (FE) simulations of a cantilever beam. By generating data for both slender beams and thick beams, you will challenge the VAE to compress each beam’s complex deformation field into a simple, low-dimensional ”latent space.” The core of the project is to decode this space and test the hypothesis that the AI has learned the correct physical degrees of freedom—such as curvature, axial strain, and shear. This project is a unique hands-on introduction to the field of scientific machine learning. You will develop a deep intuition for how AI can be used not as a ”blackbox,” but as a powerful tool to generate physical hypotheses and bridge the gap between classical engineering principles and modern data science.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-15 , Earliest start: 2026-08-01 , Latest end: 2027-03-01
Organization Solid Mechanics (Prof. Kammer)
Hosts van Jan
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Physics
3D Scene Completion in Gaussian Splatting
Robots rarely get the luxury of a perfect map. During exploration, they are constantly fighting against "unknowables" such as occlusions, shadows, and unvisited corners that leave gaps in their understanding of the world. This project aims to address this by implementing 3D Gaussian Scene Completion, where the system proactively fills unobserved regions with learned geometric priors.
Keywords
3D Gaussian Splatting Scene reconstruction Scene completion 3D Graphics
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Master Thesis
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Published since: 2026-05-14 , Earliest start: 2026-05-18
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Organization Robotic Systems Lab
Hosts Wilder-Smith Max
Topics Information, Computing and Communication Sciences
Internship / Side job: Assembly & Production (Diagnostics Hardware)
Diaxxo is seeking a motivated intern to support the assembly and production of diagnostic devices and cartridges at our labs in Dietlikon/Zürich. Join our dynamic startup and work hands-on with cutting-edge PCR technology.
Keywords
Diagnostics • PCR • Biotechnology • Innovation • Start-up • Viral Detection • Quality Control • Device Assembly • Healthcare • Hardware • Electrical
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Published since: 2026-05-14 , Earliest start: 2026-06-01 , Latest end: 2026-12-31
Organization Functional Materials Laboratory
Hosts Gregorini Michele
Topics Engineering and Technology
Understanding Plant Protein Behavior at Interfaces: Shaping Sustainable Emulsions
Have you ever tried to drink a plant-based milk cappuccino with depressive foam? Why do plant-based milks create weaker foams? How do plant proteins behave at air-water and oil-water interfaces? With increasing focus on sustainability, plant-based proteins have emerged as alternatives in the food industry. However, plant proteins are less understood, complex in structure, composition, interfacial behavior, as well as sensitive to physicochemical changes. To effectively utilize plant-based proteins as functional ingredients, understanding of their fundamental interfacial behavior is essential. In this project, we aim to thoroughly understand how plant proteins adsorb, unfold and rearrange at interfaces, in order to facilitate the creation of more sustainable emulsions and foams. Soft matter material characterization techniques are used.
Keywords
Soft Matter Food Science Rheology Plant Proteins
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Bachelor Thesis , Master Thesis
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Published since: 2026-05-12 , Earliest start: 2026-09-15 , Latest end: 2027-03-31
Organization Laboratory of Food Process Engineering
Hosts Lin Li-Hsuan
Topics Engineering and Technology
Reconstruct Human-scene interaction with gaussian splatting avatars
Three-dimensional (3D) reconstruction of dynamic scenes, particularly those involving humans interacting with their environment, remains a challenging problem in computer vision and graphics. Traditional volumetric and mesh-based methods can struggle with occlusions, complex geometries, and real-time performance. Recent advances in neural rendering—especially Gaussian splatting—offer promising alternatives by representing scenes as clouds of oriented 3D Gaussians (“splats”) that can be rendered extremely efficiently. The goal of this project is to develop a novel pipeline that leverages Gaussian splatting to reconstruct, analyze, and interpret human–scene interactions in 3D.
Keywords
3D reconstruction, Gaussian splatting, Human pose estimation
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Semester Project , Master Thesis
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Published since: 2026-05-12
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Organization pd|z Product Development Group Zurich
Hosts Wang Rui
Topics Information, Computing and Communication Sciences
Nature-Derived Microrobots: From Materials to Motion
We invite applications for a Master's thesis / semester project that focuses on the fabrication of microrobots with materials from the nature. Using our developed technique, this project will explore how different shapes influence their control behaviors in bio-fluids. This research aims to advance biomedical technologies, particularly in targeted drug delivery and minimally invasive procedures.
Keywords
Microrobotics, Fluid Dynamics, Biomedical Devices
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Semester Project , Master Thesis , Student Assistant / HiWi , ETH Zurich (ETHZ)
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Published since: 2026-05-11 , Earliest start: 2026-09-01
Organization Multiscale Robotics Lab
Hosts Hu Minghan
Topics Engineering and Technology , Chemistry
Microrobots Made from Droplets
We invite applications for a Master's thesis / semester project that focuses on the fabrication of microrobots with custom shapes. Using our developed droplet printing technique, this project will explore how different microrobot shapes, created by different magnetic fields and materials, influence their control behaviors in blood vessels. This research aims to advance biomedical technologies, particularly in targeted drug delivery and minimally invasive procedures.
Keywords
Microrobotics, Inkjet Printing, Soft Materials, Biomedical Devices
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Semester Project , Master Thesis , Student Assistant / HiWi , ETH Zurich (ETHZ)
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Published since: 2026-05-11 , Earliest start: 2026-09-14
Organization Multiscale Robotics Lab
Hosts Hu Minghan
Topics Engineering and Technology , Chemistry
Computational Modeling of Muscle Dynamics for Biohybrid Robots
This research aims to advance biohybrid robotics by integrating living biological components with artificial materials. The focus is on developing computational models for artificial muscle cells, a critical element in creating biohybrid robots. Challenges include modeling the complex and nonlinear nature of biological muscles, considering factors like elasticity and muscle fatigue, as well as accounting for fluid-structure interaction in the artificial muscle's environment. The research combines first principle soft body simulation methods and machine learning to improve understanding and control of biohybrid systems.
Keywords
Biohybrid Robotics, Computational Models, Soft Body Simulation, Finite Element Method (FEM), Muscle Dynamics, Soft Robotics
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-05-11 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Mekkattu Manuel , Katzschmann Robert, Prof. Dr.
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Biology , Physics
GPU Acceleration of Soft Robot Modeling: Enhancing Performance with CUDA
We are enhancing soft robot modeling by developing a GPU-accelerated version of our FEM-based framework using CUDA. This research focuses on optimizing parallel computations to significantly speed up simulations, enabling larger problem sizes and real-time control. By improving computational efficiency, we aim to advance soft robotics research and facilitate more detailed, dynamic simulations.
Keywords
Soft Body Simulation, high-performance computing, GPU programming, Parallel Computing, Finite Element Method (FEM), Multiphysics Simulation
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-05-11 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Katzschmann Robert, Prof. Dr. , Mekkattu Manuel
Topics Information, Computing and Communication Sciences , Engineering and Technology
Advancing Soft Robot Modeling: Integrating Physics, Optimization, and Control
We are advancing soft robot simulation with FEM and energy-based methods to model complex, adaptive behaviors. This research entails developing the framework to support diverse designs, integrate new physics models, and optimize performance, enabling enhanced control and real-world applications of soft robots.
Keywords
Soft Robotics, Finite Element Method (FEM), Physical Modeling, Benchmarking, Optimization, Multiphysics Simulation, Sim-to-Real
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-05-11 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Mekkattu Manuel , Katzschmann Robert, Prof. Dr.
Topics Information, Computing and Communication Sciences , Engineering and Technology
Insights into the Cellular Bio-Interaction and Biological Effects of Metal–Organic Frameworks
Metal–Organic Frameworks (MOFs) are a versatile class of highly porous materials with tunable structural and functional properties, making them promising candidates for biomedical applications such as drug delivery, imaging, and theranostics.In this project, different MOFs will be synthesized using various metal nodes and organic linkers and their physicochemical properties will be investigated. Based on previous biocompatibility studies performed on different mammalian cell models (immune, epithelial, fibroblast, neural, and cancer cells), the project aims to gain deeper insights into the biological activity of selected MOFs. The interaction between MOFs and cells will be studied through cellular uptake experiments, cytotoxicity evaluation, and analysis of the molecular pathways involved in cell death.
Keywords
Metal-Organic Frameworks (MOFs), Biocompatibility assays, Material characterization techniques, SDS and WesternBlot analysis
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-05-11 , Earliest start: 2026-05-11 , Latest end: 2027-05-11
Organization Multiscale Robotics Lab
Hosts Accursi Martina
Topics Engineering and Technology , Chemistry , Biology
Fine-Tuning Multimodal Reasoning Models for Affordance and Manipulativity Prediction in Robotic Manipulation
This project investigates whether reasoning-oriented multimodal models such as Gemma 4 can be fine-tuned to predict task-relevant affordances and manipulability for robotic manipulation. Given visual observations and high-level instructions, the model will identify actionable object parts, infer their functional suitability, and estimate how effectively a robot can interact with them using its own embodiment. Predictions may include affordance classes, contact regions, or manipulability scores learned from demonstrations, simulation, or robot execution data. These outputs will support interaction selection directly or guide downstream planners and control policies. The approach will be evaluated in simulation and on real robotic platforms to improve task-aware manipulation success in unstructured environments.
Keywords
affordance prediction; robotic manipulation; manipulability; multimodal reasoning; vision-language models; task-aware interaction; object part affordances; embodied AI; contact region prediction; motion planning; robot learning; high-level instruction understanding
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Master Thesis
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Published since: 2026-05-10 , Earliest start: 2026-05-06 , Latest end: 2027-04-08
Applications limited to ETH Zurich , University of Zurich
Organization Robotic Systems Lab
Hosts Zurbrügg René , Werner Lennart
Topics Engineering and Technology
Automated calibration of body-scale contact sensors
Goal: Create a repeatable, precise, and high-throughput robotic experimental setup for characterizing a custom contact sensor. This project is part of a broader effort to enable robots to better perceive whole-body contact and execute dynamic, contact-rich tasks.
Keywords
Robotics, Tactile Sensing, Machine Learning, Automated Calibration, RL, AI, Mechanical Engineering, Manipulation
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Published since: 2026-05-07 , Earliest start: 2026-05-11 , Latest end: 2026-12-31
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Baines Robert , Cramariuc Andrei
Topics Information, Computing and Communication Sciences , Engineering and Technology
Silver Nanoparticle-Based Platforms for Thermal Modulation and Glucose Sensing in Engineered Muscle Tissues
This project aims to develop silver nanoparticle-based systems as multifunctional, responsive materials for engineered skeletal muscle tissues. The work will explore their use in localized thermal modulation of cellular activity and as embedded sensors for glucose monitoring within tissue constructs. By integrating nanomaterials with biofabricated muscle systems, the project seeks to create advanced platforms for controlled stimulation and real-time metabolic sensing.
Keywords
silver nanoparticles, nanomaterials, thermal modulation, glucose sensing, skeletal muscle tissue, biofabrication, biosensors, nanomedicine, tissue engineering, bio-hybrid systems.
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-06 , Earliest start: 2026-05-06 , Latest end: 2026-10-31
Organization Soft Robotics Lab
Hosts Filippi Miriam
Topics Medical and Health Sciences , Biology
Programmable Colloidal Crystal Engineering of Magnetoelectric Nanoparticles via DNA Origami
MENPs are an emerging class of multifunctional nanomaterials that exhibit coupled magnetic and electric properties. In this project, MENPs will be synthesized and functionalized with DNA strands to act as programmable building for colloidal crystal assembly. This approach adapts recent advances in DNA-mediated nanoparticle self-assembly, replacing metal–organic frameworks (MOFs) with MENPs to explore new functionalities. Their structural organization will be characterized, and their functional behavior will be investigated. Particular attention will be given to how the intrinsic magnetoelectric properties of MENPs influence collective properties in the assembled state. The project aims to provide insight into the relationship between nanoparticle design, assembly architecture, and emergent material properties, potentially enabling applications in catalysis, sensing, and responsive materials.
Keywords
Magnetoelectric Nanoparticles, Cobalt Ferrite, Barium Titanate,Surface engineering, DNA-programmed colloidal crystals
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-05-06 , Earliest start: 2026-06-01 , Latest end: 2027-05-01
Organization Multiscale Robotics Lab
Hosts Accursi Martina
Topics Engineering and Technology
Encasing Bio-actuators for Real-World Usability of Bio-hybrid Robots
This project aims to develop 3D muscle bioactuators integrated with smart protective encasing systems for operation beyond standard in vitro conditions. Building on existing platforms for thermal regulation and nutrient supply, the project will focus on designing responsive encapsulation strategies capable of adapting to environmental cues, such as pH variations, to regulate exchange with the surroundings. These systems will enable more robust, functional bioactuators for applications in bio-hybrid robotics and translational bioengineering.
Keywords
skeletal muscle, bioactuators, bio-hybrid robotics, stimuli-responsive biomaterials, encapsulation systems, chitosan, pH-responsive materials, biofabrication, tissue engineering
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-06 , Earliest start: 2026-05-06 , Latest end: 2026-10-31
Organization Soft Robotics Lab
Hosts Filippi Miriam
Topics Engineering and Technology , Biology
Development of Sustainable Polymer-Based Coatings for Corrosion Protection
Corrosion protection remains a key challenge in high-performance industries such as aerospace, where conventional coating systems often rely on environmentally critical substances that are increasingly restricted. This thesis focuses on the development of a novel, sustainable polymer-based coating system as an alternative to existing technologies. The project combines polymer synthesis, material design, and coating engineering, with a strong emphasis on industrial applicability and scalability. The goal is to develop and tailor a novel polymer system for corrosion protection on aluminum alloys (e.g., AA2024). This includes controlled synthesis and modification of the material, followed by formulation and processing into coatings. Key performance targets include mechanical robustness, adhesion, and long-term corrosion resistance under relevant conditions. The project is research-driven, while being closely aligned with real industrial requirements and application scenarios, offering direct insight into the translation of materials from lab to application.
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-04-29 , Earliest start: 2026-06-01
Organization Multifunctional Materials
Hosts Yu Yingying
Topics Engineering and Technology , Chemistry
Spatial Proteomics of Mechanically-Driven Bone Healing
Bone healing is profoundly influenced by its mechanical environment. Advances in spatial proteomics now allow us to map protein expression within intact tissue and directly relate it to local biomechanical cues. The Laboratory for Bone Biomechanics is developing a new line of research within spatial mechanomics (DOI: 10.1126/sciadv.adp8496), integrating spatially resolved proteomic data with in silico models of the mechanical environment at fracture sites. This approach enables us to investigate, at cellular resolution, how mechanical forces shape protein-level signalling during bone repair.
Keywords
Bone, Mechanobiology, Spatial Proteomics, Protein Expression, Aging, Sex Differences, Mechanical Loading, Finite Element Modelling, Image Analysis
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2026-04-28 , Earliest start: 2025-12-01 , Latest end: 2026-12-31
Organization Müller Group / Laboratory for Bone Biomechanics
Hosts Mathavan Neashan
Topics Medical and Health Sciences , Engineering and Technology , Biology
Electrical Engineering Student (Part-time / Flexible) – Point-of-Care Diagnostics Hardware & Firmware
Diaxxo, an ETH Zürich spin-off, is looking for an Electrical Engineering student to support the development of electronics and embedded systems for diaxxoCare, an automated Point-of-Care PCR platform for decentralized molecular diagnostics. The project will involve high-level system design, PCB development or adaptation, electronics integration, bring-up and testing, and embedded firmware implementation for sensors, actuators, and device-level checkpoints. The student will work on a real commercial device, contributing to a practical solution that can be rapidly integrated into Diaxxo’s product development roadmap.
Keywords
Electrical Engineering, Embedded Systems, PCB Design, KiCad, Firmware, Motor Control, Sensors, Electronics Bring-up, Linux, Point-of-Care, PCR Diagnostics, Prototyping
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Semester Project , Internship , Master Thesis
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Published since: 2026-04-24 , Earliest start: 2026-06-01 , Latest end: 2026-12-31
Organization Functional Materials Laboratory
Hosts Gregorini Michele
Topics Engineering and Technology
Development of a High-Precision Liquid Dispensing Module for Automated Molecular Diagnostics
Diaxxo, an ETH Zürich spin-off, is developing advanced automation technologies for its Point-of-Care PCR platform, diaxxoCare. This project focuses on the development of an in-house liquid dispensing module capable of pipetting variable liquid volumes with high precision and repeatability. The student will support the design, prototyping, integration, and testing of a compact dispensing system suitable for automated diagnostic workflows. Depending on the student’s background, the project may include mechanical design, fluidics, electronics, sensor integration, control algorithms, embedded firmware, and performance validation. The final goal is to deliver a working prototype and test data supporting future integration into Diaxxo’s commercial device platform.
Keywords
Point-of-Care diagnostics; PCR automation; liquid handling; precision dispensing; pipetting module; fluidics; embedded systems; mechatronics; sensor integration; medical device development; prototyping; automated diagnostics.
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2026-04-24 , Earliest start: 2026-06-01 , Latest end: 2026-12-31
Organization Functional Materials Laboratory
Hosts Gregorini Michele
Topics Engineering and Technology
Experimental Testing and Cartridge Manufacturing Support for Molecular Diagnostics
Diaxxo, an ETH Zürich spin-off, is looking for a motivated student or intern to support wet-lab testing, data analysis, and cartridge manufacturing activities for its automated Point-of-Care PCR platform, diaxxoCare. The work will include preparing and performing experimental runs, analyzing PCR and sample-preparation results, supporting the production and quality control of single-use diagnostic cartridges, and documenting findings in a structured way. This hands-on role is ideal for a student interested in molecular diagnostics, laboratory work, manufacturing processes, and applied product development in a start-up environment.
Keywords
Point-of-Care diagnostics; PCR; qPCR; molecular diagnostics; wet lab; experimental testing; assay validation; sample preparation; cartridge manufacturing; consumable production; quality control; data analysis; automated diagnostics; biotechnology; veterinary diagnostics.
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Internship , Lab Practice , Student Assistant / HiWi
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Published since: 2026-04-24 , Earliest start: 2026-07-01 , Latest end: 2026-12-31
Organization Functional Materials Laboratory
Hosts Gregorini Michele
Topics Engineering and Technology , Chemistry , Biology
Engineering of a Smart Consumable-Check Module (prototype, hardware, firmware) for innovative diagnostic devices
DiaxxoCare is a Point-of-Care PCR platform designed for professional use in decentralized and resource-limited settings, where robustness against user mistakes is essential. This project develops an implementation-ready checkpoint system that detects missing or incorrectly placed consumables and unsafe device states (e.g., door/lid not closed), guides the user to recover via the UI, and blocks or pauses the workflow when required conditions are not met. The work includes sensor/actuator selection, firmware/software logic, prototype integration, and validation testing to enable fast deployment on commercial devices.
Keywords
Point-of-Care diagnostics; consumable detection; sensors; actuators; embedded systems; firmware; interlocks; human factors; prototyping; verification & validation; medical/veterinary devices; diaxxoCare
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Semester Project , Course Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2026-04-24 , Earliest start: 2026-01-01 , Latest end: 2026-08-31
Organization Functional Materials Laboratory
Hosts Gregorini Michele
Topics Engineering and Technology
Development of a Semi-Empirical Simulation Framework for Ultrashort-Pulse Laser Drilling
This thesis develops a semi‑empirical simulation framework for ultrashort‑pulse laser ablation with a focus on laser drilling, balancing predictive capability and computational efficiency. The model is implemented in Python and experimentally validated to capture systematic parameter trends across process conditions, enabling future data‑driven optimization
Keywords
Simulation, modeling, system identification, parameter estimation, lasers
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Master Thesis
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Published since: 2026-04-23 , Earliest start: 2026-05-01 , Latest end: 2027-12-01
Organization Advanced Manufacturing Laboratory
Hosts Schröder Nikolai
Topics Engineering and Technology
Hydrogen Defects and Resistive Switching in SrTiO3 Memory Devices
Valence change memory (VCM) devices have gained significant interest in recent years due to their promising applications in analog and neuromorphic computing applications [1]. Despite that, the exact mechanism underlying the resistive switching remains unraveled. In addition, this material possesses an unusually long persistent conductivity that has been linked to hydrogen defects [2]. To better understand the role of hydrogen defects in STO, we propose a project that combines experiments and theory (Fig. 1).
Keywords
Memory devices, Fabrication, Simulation
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Master Thesis
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Published since: 2026-04-22 , Earliest start: 2026-07-01 , Latest end: 2027-03-31
Organization Nano-TCAD (Luisier)
Hosts He Hanglin
Topics Information, Computing and Communication Sciences , Engineering and Technology
Reduced-Order Modeling for Density-Based Topology Optimization
This Master's Thesis opportunity is jointly offered by the Chair of Structural Mechanics & Monitoring at ETH Zürich (Prof. Dr. Eleni Chatzi) and by the Group of Engineering Dynamics at ETH Zürich (Dr. Paolo Tiso). Topology optimization is a powerful tool for determining optimal material distribution, but its iterative nature leads to high computational costs, especially for large-scale problems. On the other hand, its high-dimensional design space poses unique challenges to apply conventional reduced-order modeling techniques. This thesis investigates methodologies to tackle these challenges, thus providing a framework for accelerated topology optimization routines.
Keywords
Reduced-Order Modeling, topology optimization, surrogate models, machine learning
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Semester Project , Master Thesis
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Published since: 2026-04-18 , Earliest start: 2026-07-01 , Latest end: 2026-12-31
Organization Structural Mechanics (Prof. Chatzi)
Hosts Chatzi Eleni , Betti Federico , Tiso Paolo
Topics Mathematical Sciences , Engineering and Technology
Laser-induced synthesis of fire-resistant materials on wood
Wood’s flammability poses safety risks that restrict its industrial use. Although h-BN is an effective fire-retardant, current coating methods suffer from poor adhesion and low efficiency. We propose a new CO2 laser-synthesis method to overcome these barriers. This project aims to advance this technology, creating durable and efficient next-generation fire-retardant coatings.
Keywords
Wood, h-BN, ceramics, fire-resistance, laser synthesis, coating
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Master Thesis
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Published since: 2026-04-17 , Earliest start: 2026-05-03 , Latest end: 2027-01-29
Organization Wood Materials Science (Prof. Burgert)
Hosts Rouèche Mélanie
Topics Engineering and Technology
PDMS-Based Bioreactor Investigating Cell Behavior in Response to Hydrostatic Pressure and Substrate Stiffness
Introduction and Background Skin cells dynamically respond to mechanical and biochemical stimuli, which influence critical processes such as proliferation, differentiation, and migration. By understanding this interplay, mechanical and biochemical stimuli may be used in the future to facilitate the growth of skin patches, tissue formation, and organ regeneration, enabling new therapies and benefiting patients. The study of these responses, mechanobiology, requires advanced in-vitro systems to emulate physiological conditions. This project utilizes a device designed for controlled manipulation of hydrostatic pressure (0.1–1.5 kPa) and substrate stiffness (0.1–100 kPa). The system facilitates isolated and scalable experiments to analyze how the interplay of these mechanical parameters affects cell behavior. In this thesis, the student will use this system to investigate how different stimuli affect cell behavior.
Keywords
Bioreactor, tissue engineering, organ regeneration
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Master Thesis
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Published since: 2026-04-15 , Earliest start: 2026-06-01 , Latest end: 2027-01-31
Organization Macromolecular Engineering Laboratory
Hosts Cuni Filippo
Topics Engineering and Technology , Biology
How Does Dry Skin Drive Inflammation? Masters Project in Osmotic Stress and Human Macrophage Biology
We are investigating how osmotic stress in the wound microenvironment regulates macrophage phenotype and immune-stromal crosstalk in inflammatory disease. A hyperosmotic microenvironment develops in diseases such as atopic dermatitis, which involve a loss of barrier function and transepidermal water loss, and has been shown to be associated with a more activated macrophage phenotype. This project sits at the intersection of immunology, cell biology and biomaterials, and involves establishing primary human macrophage models to study how osmotic stress drives macrophage phenotype, as well as how osmotic stress-driven changes in fibroblast-secreted extracellular matrix drive innate immune cell behavior. The project is conducted in close collaboration with the Werner Lab at ETH Zürich, which brings expertise in skin biology, NFAT5 signaling, and decellularized extracellular matrix proteomics. Specifically, the position will involve characterizing expression of pro-inflammatory markers of human-derived macrophages in response to both ionic and non-ionic osmotic stress. Once this is established, co-culture with human dermal fibroblasts in both normo-osmotic and hyperosmotic conditions, in 2D systems and 3D collagen gels, will be used to study how osmolarity affects cell phenotype.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-04-15 , Earliest start: 2026-04-14 , Latest end: 2027-06-01
Organization Macromolecular Engineering Laboratory
Hosts Tibbitt Mark
Topics Engineering and Technology , Biology
In-sensor cryptographic signature generation
This project explores the design and evaluation of a secure signature circuit for integration into a CMOS chip. Depending on the student’s background, the work can involve VLSI architecture exploration, implementation of cryptographic primitives such as hashing and encryption, or security analysis of the resulting design. Students from VLSI, embedded systems, computer engineering, and cybersecurity are all encouraged to participate. The goal is to identify the most effective and secure design for real‑world hardware deployment.
Keywords
VLSI; Cryptography; Hardware Security; RTL Design; HDL; Key Management; Secure Systems; Cybersecurity;
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Semester Project , Collaboration , Master Thesis
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Published since: 2026-04-15 , Earliest start: 2026-04-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Information, Computing and Communication Sciences , Engineering and Technology
Microfluidic Biomaterials Platform Development: Advanced In Vitro Model of Fibrosis
We are developing a novel photo-responsive 3D granular hydrogel platform using microfluidic chips to study mechanotransduction in fibrosis and skin biology. This project involves fabricating and characterizing advanced biomaterial systems with dynamic mechanical properties to investigate how cells sense and respond to their physical microenvironment, such as stiffness and confinement. The platform is used to model fibrotic diseases, which are characterized by extracellular matrix stiffening, as well as to validate protein hits from in vivo skin stretch experiments, in collaboration with the Werner and Mazza Groups at ETH Zürich. While stiffness is known to induce a myofibroblast phenotype in fibroblasts, a contractile phenotype, which contributes further to fibrosis through aberrant deposition of excessive ECM, however, this understanding is based on studies in which cells are cultured on 2D static substrates. We are developing a material that allows dynamic changes to matrix stiffness within 3D cell culture to elucidate novel mechanotransduction pathways regulating myofibroblast activation in 3D.
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-04-14 , Earliest start: 2026-04-14 , Latest end: 2027-06-01
Organization Macromolecular Engineering Laboratory
Hosts Tibbitt Mark
Topics Engineering and Technology , Biology
HASEL-Driven Rotation Drive Design and Testing
Master’s Thesis Opportunity at ETH Zurich We’re exploring a new kind of rotational actuator based on stacked HASEL (Hydraulically Amplified Self-Healing Electrostatic) actuators. The goal is to convert the linear motion of soft actuators into continuous rotation using a new mechanism we have developed. We want to outperform traditional motors in specific power, quiet operation, and adaptability all while eliminating the need for magnets from the motor system. This work will be in collaboration with colleagues at Northeastern University in Boston MA.
Keywords
electrostatic actuators, rotational motors, HASEL
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Master Thesis
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Published since: 2026-04-13 , Earliest start: 2026-05-01 , Latest end: 2027-03-31
Organization Soft Robotics Lab
Hosts Toshimitsu Yasunori , Katzschmann Robert, Prof. Dr.
Topics Engineering and Technology
Analysis of Metal Accumulation Mechanisms in Bacteria for Sustainable Biomining of Rare Earth Elements
Traditional mining of rare earth elements is highly energy intensive and pollutes the environment. Biomining, in which microorganisms are used to extract rare earth elements from ores, could offer a sustainable alternative in the future. However, we do not fully understand when and how bacteria accumulate these metals. Moreover, current validation steps to understand this are not foolproof. We would therefore like to understand the mechanisms of rare earth element accumulation by bacteria.
Keywords
Biomining Rare earth metals Bacteria ICP-MS Confocal Microscopy SEM
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Semester Project , Internship , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-04-10 , Earliest start: 2026-05-01
Organization Complex Materials
Hosts van Bokhoven Roos-Marie
Topics Chemistry , Biology
Biomechanical Investigation of a Self-Lubricating Hip Prosthesis in the Presence of an Articulating Femoral Head
Current joint replacements cannot replicate the natural weeping lubrication mechanism found in cartilage, resulting in a typical implant lifespan of about 15–20 years due to friction and wear, often leading to revision surgery, particularly in younger patients. Inspired by the load-induced self-pressurization behavior of articular cartilage, we aim to design and develop a novel self-lubricating hip prosthesis that mimics this physiological lubrication mechanism. We have developed a self-lubricating hip prosthesis model in COMSOL Multiphysics that integrates three coupled multiphysics phenomena: Fluid–Structure Interaction, Free and Porous Media Flow, and Poroelasticity. In this semester project, the computational model will be extended by incorporating the femoral head to represent the physiological articulating joint configuration more realistically. The study will investigate how the presence of the femoral head influences fluid pressure distribution, fluid transport, and lubrication behavior within the prosthesis under physiological loading conditions. In addition, the effect of the non-Newtonian rheological behavior of synovial fluid on the lubrication response of the system will be examined. Students with a background in mechanical engineering, particularly in fluid dynamics, are encouraged to apply. Prior experience with COMSOL Multiphysics is beneficial but not mandatory.
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Semester Project
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Published since: 2026-04-09 , Earliest start: 2026-05-01 , Latest end: 2026-08-01
Organization Musculoskeletal Biomechanics
Hosts Mosayebi Mahdieh
Topics Engineering and Technology
Deep Learning of Residual Physics For Soft Robot Simulation
Incorporating state-of-the-art deep learning approaches to augment conventional soft robotic simulations for a fast, accurate and useful simulation for real soft robots.
Keywords
Soft Robotics, Machine Learning, Physical Modeling, Simulation
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Semester Project , Master Thesis
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Published since: 2026-04-03 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Michelis Mike , Katzschmann Robert, Prof. Dr.
Topics Information, Computing and Communication Sciences , Engineering and Technology
Microelectronic circuit design for neural interfaces in 0.18um CMOS technology
This project is about the development of integrated circuits to study neurons and neural networks, and may comprise different parts of the design including analog and/or digital microelectronics, PCB design, signal processing and programming.
Keywords
Microelectronics, CMOS, circuit design, electronics, PCB, signal processing, neural interface.
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2026-04-02 , Earliest start: 2026-05-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Engineering and Technology
On-chip Cryptographic Signatures
This project focuses on the design and evaluation of a signature circuit intended for secure integration into a CMOS chip. The student will explore different architectural interpretations, implement cryptographic primitives such as hashing and encryption, and assess the circuit’s performance and security. The goal is to identify the most effective design for real-world deployment in secure hardware.
Keywords
VLSI; Cryptography; Hardware Security; RTL Design; HDL; Key Management; Secure Systems; Cybersecurity;
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-04-02 , Earliest start: 2026-04-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Information, Computing and Communication Sciences , Engineering and Technology
Advancing Fluid-Structure Interaction Simulations for Soft Robots
Soft robots are characterized by their ability to continuously deform and adapt to complex environments, making them ideal for tasks in unstructured, dynamic settings. Our lab is developing a cutting-edge soft robot modeling framework that employs FEM and energy-based methods to simulate these robots. Simulating the interactions of these soft robots with their surrounding fluid is crucial for capturing the physics of the robots’ deformation accurately. We have developed a fluid dynamics solver operating on the principle of minimizing energy. The framework now requires thorough benchmarking, optimization for speed, and extension with SRL’s in-house FEM framework for coupling with soft deformable bodies.
Keywords
Fluid Dynamics, Fluid-Structure Interaction, Soft Robot Simulation, Scientific Computing
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-03-31 , Earliest start: 2026-05-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Dhaker Adamya
Topics Engineering and Technology
Optimal Tool Geometry Design for Micromachining
Micromilling plays an important role in the industry, where high precision, excellent surface quality, and reliable tool performance are essential. In such applications, tool geometry strongly influences cutting forces, tool wear, and the roughness of the generated surface, and therefore has a direct impact on process quality, productivity, and cost. Yet in practice, tool selection is often based mainly on available catalog tools and empirical know-how rather than on a systematic process-specific methodology. This project aims to develop a simulation-based model to characterize the influence of cutting geometry on machining performance and to use this understanding for targeted tool selection and optimization.
Keywords
Micromilling; Optimization; Simulation; Manufacturing
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Internship , Master Thesis
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Published since: 2026-03-28
Organization Computational Modelling of Materials in Manufacturing
Hosts Ostad Ali Akbari Vahid, Dr.
Topics Engineering and Technology
Product Design & Regulatory Assessment of Microgel-Based Biomaterial Systems
This project aims to evaluate different device formats for delivering microgel-based therapies. The focus will be on engineering feasibility, biomolecule assays, and the regulatory landscape governing these devices.
Keywords
Microgels, Biomaterials, Wound healing, Product development, Feasibility, Simulations, FEM, Regulatory, Clinical
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-03-27 , Earliest start: 2026-04-12 , Latest end: 2026-12-31
Applications limited to Empa , CSEM - Centre Suisse d'Electronique et Microtechnique , Balgrist Campus , Department of Quantitative Biomedicine , EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , Forschungsinstitut für biologischen Landbau (FiBL) , Hochschulmedizin Zürich , IBM Research Zurich Lab , Institute for Research in Biomedicine , Lucerne University of Applied Sciences and Arts , Pädagogische Hochschule St.Gallen , Paul Scherrer Institute , Sirm Institute for Regenerative Medicine , Swiss National Science Foundation , Università della Svizzera italiana , Université de Neuchâtel , University of Basel , University of Fribourg , University of Berne , University of Lausanne , University of Geneva , University of Lucerne , University of St. Gallen , University of Zurich , Zurich University of Applied Sciences
Organization Macromolecular Engineering Laboratory
Hosts Emiroglu Börte
Topics Medical and Health Sciences , Engineering and Technology , Chemistry , Biology
End-to-End Setup of AI-Enabled Industrial Workflows
This thesis investigates how AI-enabled industrial workflows with integrated visual verification can be configured end-to-end by non-expert users. Using a digital workflow platform, the work explores how process definition, dataset creation, and model configuration impact verification reliability. Through experimental evaluation across real-world use cases—including industrial maintenance tasks such as Hilti DX76 tool cleaning—the thesis derives practical guidelines for building robust, user-friendly AI-assisted workflows.
Keywords
Digital workflows, computer vision, industrial AI, visual verification, human-AI interaction, workflow automation, maintenance processes, dataset design
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-03-26 , Earliest start: 2026-03-26 , Latest end: 2026-09-30
Organization pd|z Product Development Group Zurich
Hosts Hogenkamp Maarten
Topics Engineering and Technology
Learning Coordinated Dual-Arm Manipulation Policies for Parcel Handling
Recent breakthroughs in robot learning (Diffusion Policy, ACT/ALOHA, RDT-1B) have unlocked dexterous single-arm manipulation from a handful of demonstrations. Yet coordinated dual-arm manipulation of real-world objects remains largely unsolved. Logistics is the ideal proving ground: parcels vary wildly in size, mass, and shape, and many are simply too large or heavy for a single arm. This thesis develops a learning-based controller that enables two robot arms (UR5/UR20) to jointly grasp and manipulate parcels under real warehouse conditions.
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Master Thesis
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Published since: 2026-03-26 , Earliest start: 2026-03-16
Organization Computational robotics laboratory (Prof. Stelian Coros)
Hosts Coros Stelian
Topics Engineering and Technology
Learning Object Dependency Graphs for Physical Manipulation in Clutter
Robots operating in real-world environments must manipulate objects that are rarely arranged neatly. In logistics centers and warehouses, objects often form cluttered piles where items support, block, or constrain each other. Removing the wrong object can destabilize the scene or cause failures. Humans naturally reason about these physical relationships and identify which objects can be safely removed. Enabling robots to develop a similar capability remains an open challenge in robotics. This project explores how robots can learn to infer physical relationships between objects in cluttered scenes and use this understanding to select better manipulation actions.
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Master Thesis
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Published since: 2026-03-26 , Earliest start: 2026-03-15
Organization Computational robotics laboratory (Prof. Stelian Coros)
Hosts Coros Stelian
Topics Engineering and Technology