Projects & Theses
Below you find a collection of BSc and MSc projects and theses that can be carried out within the MaP community.
Design of a Micro-Venturi Cavitation Device
This project focuses on the mechanical design, manufacturing and characterization of a micro-venturi channel system for hydrodynamic cavitation studies
Keywords
Cavitation, Fluid Dynamics, Bubbles
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Semester Project , Bachelor Thesis
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Published since: 2026-08-20 , Earliest start: 2026-09-14 , Latest end: 2026-12-18
Applications limited to ETH Zurich
Organization Group Supponen
Hosts Bauer Tobias
Topics Engineering and Technology , Physics
Building the Future of Bone Models: 3D Bioprinting and Embedded Sensor Systems
Are you interested in engineering the smart systems that make living tissue growth possible? This project focuses on the biofabrication and instrumentation challenge of optimizing high-precision 3D bioprinting workflows and developing smart bioreactors equipped with real-time sensors.
Keywords
3D Bioprinting, Bone Organoids, Bioreactors, in vitro models, Sensor Technology.
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Semester Project , Internship , Master Thesis
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Published since: 2026-08-19 , Earliest start: 2026-10-01 , Latest end: 2027-10-01
Organization Müller Group / Laboratory for Bone Biomechanics
Hosts Lupion Juan
Topics Engineering and Technology , Biology
Investigating Magnesium Implant Degradation in 3D Bone Models
Have you ever wondered how human cells respond when a metal implant gradually dissolves inside the body? This project focuses on the cellular microenvironment challenge of decoding how local pH shifts, magnesium concentration, and hydrogen gas directly affect bone cell health and function in 2D and 3D models.
Keywords
3D Bioprinting, Bone Organoids, Bioreactors, in vitro models, Bioresorbable Implants, Cell Microenvironment.
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Semester Project , Internship , Master Thesis
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Published since: 2026-08-19 , Earliest start: 2026-10-01 , Latest end: 2027-10-01
Organization Müller Group / Laboratory for Bone Biomechanics
Hosts Lupion Juan
Topics Medical and Health Sciences , Biology
Two-bubble effects on container-fluid-bubble dynamics under vertical vibration
Vertical vibration of fluid-filled containers provides a promising approach for the acoustic manipulation and removal of bubbles from fluids. Recent work has shown that a gas bubble can strongly couple with the container–fluid system, significantly altering the dynamical response of the entire system, including its resonance behaviour. However, while the current theoretical formulation considers a container–fluid system coupled with a single bubble, practical systems typically contain multiple bubbles, whose combined effects on the coupled dynamics remain unclear. This project aims to extend the existing theoretical formulation from a single-bubble system to a two-bubble system. The extended model will be used to predict the pressure distribution and radial oscillations of two bubbles of the same or different sizes and to investigate how their sizes and positions affect the resonance behaviour of the coupled system. Ultimately, the project seeks to identify conditions that enhance bubble oscillations and provide insights into efficient acoustic bubble removal.
Keywords
dynamical system, bubble dynamics, fluid mechanics, acoustics
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Semester Project
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Published since: 2026-08-19 , Earliest start: 2026-09-07 , Latest end: 2026-12-18
Organization Group Supponen
Hosts Kusakabe Satoshi
Topics Engineering and Technology
Hand Gesture Recognition Using High-Density Surface Electromyography (HD-sEMG)
The project aims to develop machine learning models for real-time hand gesture recognition using high-density surface electromyography (HD-sEMG) signals. This research focuses on improving neuroprosthetic control and rehabilitation by accurately decoding hand movements from HD-sEMG data.
Keywords
HD-sEMG, neuroprosthetics, biosignal monitoring, machine learning, hand gesture recognition, rehabilitation
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ETH Zurich (ETHZ)
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Published since: 2026-08-18
Organization Biomedical and Mobile Health Technology Lab
Hosts Qi Shuaixin
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Gait and Posture Analysis Using Multimodal Data from Smart Walkers
The project aims to develop machine learning models to analyze gait and posture using multimodal data collected from participants using a robotic walker equipped with multiple cameras and inertial sensors. This research focuses on detecting abnormalities in gait patterns and postural control, contributing to the development of rehabilitation and assistive technologies.
Keywords
gait analysis, posture monitoring, smart walker, motion capture, biomechanics, sensor fusion, rehabilitation, inertial sensors
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ETH Zurich (ETHZ)
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Published since: 2026-08-18
Organization Biomedical and Mobile Health Technology Lab
Hosts Qi Shuaixin
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Detection of Cardiovascular Abnormalities from Paper ECG Images Using Deep Learning
This project aims to develop a deep learning algorithm to detect and classify cardiovascular abnormalities directly from paper-based or image-scanned ECGs. By bypassing the need for full digitization, the objective is to enable rapid diagnosis and improve access to cardiovascular healthcare, particularly in resource-limited settings.
Keywords
ECG, cardiovascular disease, image classification, deep learning, global health, medical imaging, underserved populations
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ETH Zurich (ETHZ)
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Published since: 2026-08-18
Organization Biomedical and Mobile Health Technology Lab
Hosts Qi Shuaixin
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
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: 2026-08-18 , Earliest start: 2026-09-01
Organization Computational Mechanics Group
Hosts Mousavi Sepehr
Topics Information, Computing and Communication Sciences , Engineering and Technology
Arborix: 3D-Printed Nerve Grafts with Branch Architectures for Breast Resensation
Can we restore sensation after breast cancer surgery? Every year, more than 900,000 patients undergo breast cancer surgery, many of whom permanently lose breast sensation following mastectomy. While reconstructive surgery can restore the appearance of the breast, restoring natural sensation remains a major unmet clinical challenge, significantly affecting quality of life. A key challenge is that the breast is innervated by a complex branched nerve network that cannot be reconstructed using conventional linear nerve grafts. In this project, you will develop 3D-printed branched nerve grafts using Filamented Light (FLight)[1,2], a cutting-edge light-based biofabrication technology developed in Prof. Marcy Zenobi-Wong at ETH Zurich. Working at the interface of biomaterials, biofabrication, and regenerative medicine, you will contribute to a technology that is advancing toward preclinical and clinical translation. Beyond the scientific research, this project is embedded in a unique translational research environment, building on a previous ETH Pioneer Fellowship, an Innosuisse innovation project, and the future ETH spin-off, Arborix. Working alongside engineers, biologists, clinicians, and entrepreneurs, you will contribute to the preclinical development of a regenerative medical device while gaining first-hand insight into how translational research is planned and advanced toward clinical application. Your work may help lay the foundation for future preclinical studies aimed at restoring sensation after breast cancer surgery.
Keywords
Hydrogel, Collagen, Nerve Regeneration, 3D Bioprinting, Translational Research
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-08-18 , Earliest start: 2026-10-01 , Latest end: 2027-03-31
Organization Zenobi-Wong Group / Tissue Engineering and Biofabrication
Hosts Liu Hao
Topics 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: 2026-08-18 , 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
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: 2026-08-14
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
Thesis in Industry - Starting ASAP!
ETH Zürich's Exploration Lab is partnering with Siemens - developer of intelligent technologies that connect energy systems, buildings, and infrastructure - to offer a unique thesis opportunity. You'll have the freedom to choose from a diverse range of real-world projects across multiple domains, based on your individual interests.
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
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Semester Project , Master Thesis
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Published since: 2026-08-13 , Earliest start: 2026-02-15 , Latest end: 2026-09-12
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , Zurich University of Applied Sciences
Organization pd|z Product Development Group Zurich
Hosts von Salis Marco
Topics Information, Computing and Communication Sciences , Engineering and Technology
Design Engineering at AUDI F1
Audi F1 and the Exploration Lab are looking for a design engineer willing to work on high-risk, high-reward topics. The topics are top-secret but might just change the course of a race.
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 , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-08-13 , Earliest start: 2026-09-14 , Latest end: 2027-03-31
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Organization ETH Exploration Lab
Hosts von Salis Marco
Topics Information, Computing and Communication Sciences , Engineering and Technology
Visualize the Brain: Developing a Sub-1mm Camera Catheter for Neurovascular Imaging
In partnership with neurosurgeons, this project will involve designing and integrating proximal lighting and flow occlusion systems with an existing 0.6mm camera, and package the assembly into a functional catheter prototype. The candidate will have the unique opportunity to partake in animal trials and contribute to a publication.
Keywords
Microfabrication, Prototyping, Medical Devices, Animal Trial
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-08-13 , Earliest start: 2026-08-24 , Latest end: 2027-04-30
Organization Multiscale Robotics Lab
Hosts Shi Xingzao
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: 2026-08-11 , Earliest start: 2026-09-15 , Latest end: 2027-03-31
Organization Laboratory of Food Process Engineering
Hosts Lin Li-Hsuan
Topics Engineering and Technology
NIR fluorescent sensor development: Impact of hydrogel chemisrty
Are you passionate about interdisciplinary, cutting-edge research that pushes the boundaries of biomedical technology? Join our team to develop optical sensors for advanced biomedical applications! Hydrogel pore architecture is a critical parameter in optical biosensor design. This project investigates how systematically tuning pore size in polymer matrices affects analyte transport, binding kinetics, and detection selectivity in advanced nanosensor systems. By engineering hydrogels with controlled dimensional properties, we aim to establish design principles for optimizing both sensitivity and specificity in bioanalytical applications. Find us at osm-lab.com.
Keywords
Interdisciplinary Research Cutting-edge Biomedical Technology Material-based Solutions Biomedical Applications 2D Nanomaterials Nanosheets Chemical Engineering Fluorescence Nanotechnology Applications in Biomedicine Fluorescence Sensor Development Advanced Optical Materials Material Engineering Engineering Biomechanics Biomedical Engineering Biomedicine Biomaterials Biosensor Biosensing Nano
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Semester Project , Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-08-11 , Earliest start: 2026-10-01
Applications limited to Empa , Zurich University of Applied Sciences , University of Zurich , University of St. Gallen , University of Lucerne , University of Lausanne , University of Geneva , University of Fribourg , University of Berne , University of Basel , Université de Neuchâtel , Università della Svizzera italiana , Swiss Federal Institute for Forest, Snow and Landscape Research , Zurich University of the Arts , Wyss Translational Center Zurich , Balgrist Campus , Berner Fachhochschule , Eawag , Department of Quantitative Biomedicine , EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , Fernfachhochschule , Forschungsinstitut für biologischen Landbau (FiBL) , Friedrich Miescher Institute , Hochschulmedizin Zürich , IBM Research Zurich Lab , Institute for Research in Biomedicine , Lucerne University of Applied Sciences and Arts , NGOs Switzerland , NCCR Democracy , Pädagogische Hochschule St.Gallen , Paul Scherrer Institute , Physikalisch-Meteorologisches Observatorium Davos , Sirm Institute for Regenerative Medicine , Swiss Institute of Bioinformatics , Swiss National Science Foundation , SystemsX.ch , Agroscope , [nothing] , Eberhard Karls Universität Tübingen , European Molecular Biology Laboratory (EMBL) , FH Aachen , Humboldt-Universität zu Berlin , Justus Liebig University, Gießen , Ludwig Maximilians Universiy Munich , Martin Luther Universitat, Halle , Max Delbruck Center for Molecular Medicine (MDC) , Max Planck Society , Otto Von Guericke Universitat, Magdeburg , RWTH Aachen University , Social Science Research Center Berlin , Technische Universität Hamburg , Technische Universität München , TU Berlin , TU Darmstadt , TU Dresden , Universität der Bundeswehr München , Ulm University , Universität zu Lübeck , University of Cologne , University of Erlangen-Nuremberg , University of Hamburg , University of Konstanz , Universtity of Bayreuth , Delft University of Technology , Maastricht Science Programme , Radboud University Nijmegen , Utrecht University
Organization Nanoparticle Systems Engineering Laboratory
Hosts Nissler Robert, Dr.
Topics Medical and Health Sciences , Engineering and Technology , Chemistry , Physics
Biomimetic metamaterials for bone regeneration
Porous implants can support bone healing, but their internal architecture strongly affects their performance. A good implant should be stiff enough to carry load, but not so stiff that it shields the surrounding bone from mechanical stimulation. At the same time, the local strains in the tissue around the implant should fall within a range that encourages bone formation. This makes architected implants an exciting design problem at the interface of mechanics, materials science, and biomedical engineering.
Keywords
metamaterials, biomechanics, tissue engineering, FEA
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Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-08-11 , Earliest start: 2026-09-01
Organization Mechanics and Materials
Hosts Latussek Lisa
Topics Engineering and Technology
NIR fluorescent sensor material development (1D / 2D materials)
Are you passionate about interdisciplinary, cutting-edge research that pushes the boundaries of biomedical technology? Join our team to develop material-based solutions for advanced biomedical applications! Our lab has recently pioneered a groundbreaking synthesis method to precisely control the chemical and optical properties of 2D copper tetrasilicate nanosheets. See Nißler et al. 2025 in Advanced Materials: https://advanced.onlinelibrary.wiley.com/doi/10.1002/adma.202503159 With outstanding fluorescence in the near-infrared (<900 nm), these nanosheets are paving the way for innovative applications in fluorescence imaging and sensing, driving a renewed excitement in nanoscience. You will synthesize and physico-chemically characterize novel optical 2D materials for NIR-fluorescent (bio)imaging applications.
Keywords
Interdisciplinary Research Cutting-edge Biomedical Technology Material-based Solutions Biomedical Applications 2D Nanomaterials Nanosheets Chemical Engineering Fluorescence Nanotechnology Applications in Biomedicine Fluorescence Sensor Development Advanced Optical Materials Material Engineering Engineering
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Semester Project , Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-08-11 , Earliest start: 2026-10-01
Applications limited to Empa , Zurich University of Applied Sciences , University of Zurich , University of St. Gallen , University of Lucerne , University of Lausanne , University of Geneva , University of Fribourg , University of Berne , University of Basel , Université de Neuchâtel , Università della Svizzera italiana , Swiss Federal Institute for Forest, Snow and Landscape Research , Zurich University of the Arts , Wyss Translational Center Zurich , Balgrist Campus , Berner Fachhochschule , Eawag , Department of Quantitative Biomedicine , EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , Fernfachhochschule , Forschungsinstitut für biologischen Landbau (FiBL) , Friedrich Miescher Institute , Hochschulmedizin Zürich , IBM Research Zurich Lab , Institute for Research in Biomedicine , Lucerne University of Applied Sciences and Arts , NGOs Switzerland , NCCR Democracy , Pädagogische Hochschule St.Gallen , Paul Scherrer Institute , Physikalisch-Meteorologisches Observatorium Davos , Sirm Institute for Regenerative Medicine , Swiss Institute of Bioinformatics , Swiss National Science Foundation , SystemsX.ch , Agroscope , [nothing] , Eberhard Karls Universität Tübingen , European Molecular Biology Laboratory (EMBL) , FH Aachen , Humboldt-Universität zu Berlin , Justus Liebig University, Gießen , Ludwig Maximilians Universiy Munich , Martin Luther Universitat, Halle , Max Delbruck Center for Molecular Medicine (MDC) , Max Planck Society , Otto Von Guericke Universitat, Magdeburg , RWTH Aachen University , Social Science Research Center Berlin , Technische Universität Hamburg , Technische Universität München , TU Berlin , TU Darmstadt , TU Dresden , Universität der Bundeswehr München , Ulm University , Universität zu Lübeck , University of Cologne , University of Erlangen-Nuremberg , University of Hamburg , University of Konstanz , Universtity of Bayreuth , Delft University of Technology , Maastricht Science Programme , Radboud University Nijmegen , Utrecht University
Organization Nanoparticle Systems Engineering Laboratory
Hosts Nissler Robert, Dr.
Topics Medical and Health Sciences , Engineering and Technology , Chemistry , Physics
Geometry-based inverse design of spinodal metamaterials as bone implants
Spinodal metamaterials are complex porous structures whose geometry can be tuned by parameters such as relative density, curvature, and anisotropy. For practical design, it is often more useful to prescribe desired geometric properties directly and then find parameters that realize them. This inverse-design problem is non-unique: different structures or parameter combinations may lead to similar geometric descriptors.
Keywords
metamaterials, biomechanics, tissue engineering, ML, inverse design
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Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-08-11 , Earliest start: 2026-09-01
Organization Mechanics and Materials
Hosts Latussek Lisa
Topics Engineering and Technology
Hybrid finite-element–meshless modeling framework for stiff solid–soft tissue interactions
Computational models are widely used to better understand the physics of biological systems, including interactions among multiple tissues within complex anatomical structures such as human organs and joints. Yet standard mesh-based numerical methods often struggle to accommodate the large structural recon- figuration undergone by such systems, whereas more flexible alternatives (e.g., meshless methods) may entail substantial computational cost. This motivates the development of hybrid simulation frameworks in which different components of the domain can be modeled using distinct numerical techniques. For instance, such frameworks can exploit the efficiency of the finite-element (FE) method for stiff bodies and the robustness of meshless methods in soft, highly deformable regions. One representative application is the modeling of bone implants (stiff structures with well-defined bound- aries), whose mechanical response is strongly influenced by the surrounding soft tissue prone to large deformation
Keywords
metamaterials, meshless methods, FEA, hybrid modelling, biomechanics, tissue engineering
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Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-08-11 , Earliest start: 2026-09-01
Organization Mechanics and Materials
Hosts Latussek Lisa
Topics Engineering and Technology
HiWi for spore gels
Our group is investigating the formation of colloidal gels using bacterial spores. During our experiments, we discovered that gelation occurs only under specific conditions that are not typical for particle gelation. Understanding the origin of this unexpected behaviour could reveal new insights into the interactions between biological particles and their surrounding environment. To uncover the underlying mechanism, we are looking for a motivated master's student to investigate how the surface charge of bacterial spores changes with solvent composition and temperature.
Keywords
HiWi, bacteria spores, particles, zeta potential measurments
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Student Assistant / HiWi
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Published since: 2026-08-10 , Earliest start: 2026-08-17 , Latest end: 2026-11-17
Organization Interfaces, Soft matter and Assembly
Hosts Hu Yiyao
Topics Engineering and Technology
Topology Optimization for Induction Heating Applications
Topology Optimization (TO) is well established for structural applications, where structures are optimized regarding their mechanical properties under volume constraints. Unlike shape optimization, TO is free from initial structure assumptions and can propose fundamentally new geometries. This would also be interesting for induction heating (IH) applications, where the design of magnetic cores and copper coils need to be optimized. However, topology optimization is much less established in the field of electromagnetic heating.
Keywords
Topology Optimization, Inductive Heating, Electromagnetics, Copper Coil, Magnetic Core, Flux Concentrators
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Master Thesis
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Published since: 2026-08-10
Organization pd|z Product Development Group Zurich
Hosts Ritter Simon
Topics Engineering and Technology
Hardware Development for Multi-Site, Multi-Modal Physiological Signal Acquisition and Validation
This project will involve developing hardware for simultaneous acquisition of multi-site photoplethysmography (PPG) and ECG signals and developing signal processing algorithms to quantify and validate the PPG-derived vascular features with pulse wave signals from handheld doppler ultrasound device.
Keywords
Photoplethysmography, ECG, Doppler ultrasound, wearable sensor design, physiological signal acquisition, biomedical signal processing, peripheral vascular dynamics
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Semester Project , Master Thesis
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Published since: 2026-08-10 , Earliest start: 2026-09-01 , Latest end: 2027-03-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Qaiser Hafsah
Topics Information, Computing and Communication Sciences , Engineering and Technology
Benchmarking Additive Manufacturing Processes for Copper Induction Coils
Additive manufacturing (AM) of copper offers great advantages in the production of copper coils used for inductive heating. Without the constraints of conventional manufacturing techniques (bending, milling, soldering, etc.) there exist huge potential for optimization. However, AM of copper comes with its own challenges. Material properties often do not reach the absolute values of pure copper, and each additive manufacturing process comes with its own design guidelines, many of which are not yet fully established for the application of induction coils.
Keywords
Additive manufacturing, 3D printing, LPBF, MBJ, MEX, copper, induction heating
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Master Thesis
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Published since: 2026-08-10
Organization pd|z Product Development Group Zurich
Hosts Ritter Simon
Topics Engineering and Technology
Learning Task Structure from Multimodal Human Demonstrations
Expert knowledge in procedural tasks such as surgery or assembly involves more than knowing which action is performed. Tool trajectories, relative poses, alignment of components, and resulting states can be essential to understanding a procedure. This project uses multimodal recordings from an orthopedic surgery training task, including synchronized video and 6D instrument poses, to investigate how such measurable process knowledge can be extracted from a small number of human demonstrations and combined into a structured representation.
Keywords
Computer Vision, Learning from Demonstration, 6D Pose, Multimodal Sensing, Procedural Understanding, Human Demonstration, Geometric Reasoning, Foundation Models, Surgical Training, Knowledge Capture, Pose Estimation, Robotics
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-08-10 , Earliest start: 2026-08-23 , Latest end: 2027-02-14
Organization pd|z Product Development Group Zurich
Hosts Hogenkamp Maarten
Topics Information, Computing and Communication Sciences , Engineering and Technology
Development of a Physical Engineering Benchmark to evaluate Text-to-CAD AI Systems
Text-to-CAD AI systems increasingly generate 3D models from natural-language descriptions, yet their ability to produce manufacturable and functionally effective engineering designs remains insufficiently understood. This thesis develops and validates an Engineering Benchy: a standardized, physically testable benchmark for assessing AI-CAD capabilities from valid model generation and manufacturability to functional performance and advanced design quality.
Keywords
AI | CAD | Text-to-CAD | Additive manufacturing | Product development | Prototyping and physical testing
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Semester Project , Bachelor Thesis , ETH Zurich (ETHZ)
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Published since: 2026-08-10
Applications limited to ETH Zurich
Organization pd|z Product Development Group Zurich
Hosts Bürkli Julian
Topics Engineering and Technology
Online Reinforcement Learning for Magnetic Levitation
This project explores the control of freely levitating objects in space using electromagnetic navigation. By generating controlled magnetic fields, we can wirelessly manipulate the position and orientation of the levitating magnetic object. A fully functional experimental platform is already available, providing a rich testbed for exploring advanced control strategies.
Keywords
Reinforcement learning, dynamical systems, electromagnetic levitation
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-08-10 , Earliest start: 2026-08-11
Organization Multiscale Robotics Lab
Hosts Zughaibi Jasan
Topics Engineering and Technology
Robotic Characters at Disney Research
In the Robotics Group at Disney Research, our research focuses on creating ever more believable and realistic robotic characters, making them lifelike, expressive, and engaging. Our characters are designed to entertain and captivate with lifelike behavior and distinct personalities. Through scalable techniques that enhance their believability and capabilities, we push the boundaries of how robots are perceived and bring them closer to meaningful and engaging interactions with people. We are seeking highly motivated students to advance the frontiers of robotics with us through a master thesis.
Keywords
Hardware, Agentic Runtime Systems, Simulation, Foundational Motion Models, Reinforcement Learning, Robotic Character Brain
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Master Thesis
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Published since: 2026-08-09 , Earliest start: 2026-08-10
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Aurand Joshua
Topics Information, Computing and Communication Sciences
Software Development: Enabling In Vitro Neuroscience Research
This project focuses on developing software for advanced neural interfaces used in in vitro studies. These interfaces enable precise exploration of neural activity, providing critical insights into neuronal dynamics, drug interactions, and neurological disorders. The project involves creating and optimizing software for data acquisition, analysis, and visualization, which directly enhances the usability and impact of these tools in research and healthcare applications. Ideal candidates will possess strong programming skills in Python. This project is available as Master thesis or semester project.
Keywords
Software development; Neural Interfaces; Neuroscience; Python; Biomedical Research; Neuroengineering; Neurotechnology.
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Semester Project , Internship , Master Thesis
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Published since: 2026-08-08 , Earliest start: 2026-10-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Information, Computing and Communication Sciences
Dynamics and Learning-Based Control of Parallel Mechanisms for LEO Applications
This project investigates the modeling and reinforcement-learning control of a 3-DoF parallel mechanism for LEO applications, with emphasis on minimizing spacecraft disturbances while achieving accurate positioning and pointing.
Keywords
Reinforcement learning, Parallel mechanisms, spacecraft dynamics, LEO robotics, payload pointing, spacecraft disturbance, multibody dynamics, attitude control, vibration control
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-08-07
Organization Robotic Systems Lab
Hosts Tanaka Yusuke
Topics Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences
Model Reduction of Multibody Dynamics in Railways
This project investigates model-order-reduction techniques for rigid multibody railway vehicle models. The aim is to develop reduced-order models that retain the dominant vehicle dynamics, suspension effects, and wheel–rail contact behavior while substantially lowering computational cost. A representative railway vehicle model will be developed, validated against specialized software such as SIMPACK, and reduced using suitable numerical methods. The reduced models will be evaluated for accuracy, stability, physical interpretability, and efficiency across varying speeds, track irregularities, loading conditions, and suspension parameters. The resulting framework will support faster simulation for optimization, uncertainty quantification, control, state estimation, and repeated vehicle–track interaction analyses.
Keywords
multibody dynamics; railway vehicle dynamics; model-order reduction; reduced-order modeling; numerical simulation
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Master Thesis
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Published since: 2026-08-06 , Earliest start: 2026-09-01
Organization Structural Mechanics (Prof. Chatzi)
Hosts Jain Shobhit, Dr. , Stoura Charikleia , Chatzi Eleni
Topics Mathematical Sciences , Engineering and Technology
3D Bioprinting of Skeletal Muscle: Neuromuscular Models of Duchenne Muscular Dystrophy
This project aims to develop advanced 3D bioprinted skeletal muscle models with functional innervation, including neurotized healthy muscle tissues and in vitro models of Duchenne muscular dystrophy (DMD). Using state-of-the-art biofabrication strategies, the project will generate physiologically relevant muscle constructs suitable for functional characterization and pharmacological testing. These platforms are intended to support both fundamental research on neuromuscular interactions and translational studies for drug evaluation.
Keywords
3D bioprinting, skeletal muscle tissue, innervation, neuromuscular junctions, Duchenne muscular dystrophy, disease modeling, pharmacological testing, biofabrication, biomaterials, tissue engineering.
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Semester Project , Master Thesis , Other specific labels , ETH Zurich (ETHZ)
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Published since: 2026-08-06 , Earliest start: 2026-07-01 , Latest end: 2027-02-28
Organization Soft Robotics Lab
Hosts Filippi Miriam
Topics Medical and Health Sciences , Engineering and Technology , Biology
Biohybrid microswimmer fabrication and characterisation
Biohybrid microswimmers integrate biological cells with synthetic particles for targeted microscale transport. To overcome stochastic assembly and low attachment yields, we utilize sequential capillarity-assisted particle assembly (sCAPA). This technique enables highly reproducible control of construct geometry by using resilient B. subtilis endospores as starting material, harnessing their resistance to heat and desiccation without compromising the cell’s survival.
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Master Thesis
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Published since: 2026-08-06 , Earliest start: 2026-09-01
Organization Interfaces, Soft matter and Assembly
Hosts Feller Isabelle , Hu Minghan
Topics 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: 2026-08-06 , Earliest start: 2026-05-06 , Latest end: 2026-10-31
Organization Soft Robotics Lab
Hosts Filippi Miriam
Topics Medical and Health Sciences , Biology
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: 2026-08-06 , Earliest start: 2026-05-06 , Latest end: 2026-10-31
Organization Soft Robotics Lab
Hosts Filippi Miriam
Topics Engineering and Technology , Biology
AI-Based Blood Pressure Estimation from PPG Signals Using Wearable Devices
This project explores the feasibility of measuring blood pressure using pulse travel time (PTT) between two photoplethysmography (PPG) sensors, validated against ground truth blood pressure cuff measurements, employing machine learning and computational models.
Keywords
machine learning, artificial intelligence, generative AI, photoplethysmography (PPG), smart-watch, wearable devices, blood pressure
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Semester Project , Master Thesis
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Published since: 2026-08-05 , Earliest start: 2026-08-03 , Latest end: 2027-05-01
Organization Biomedical and Mobile Health Technology Lab
Hosts Otesteanu Corin, Dr
Topics Information, Computing and Communication Sciences , Engineering and Technology
RAI Project - Sim-2-Real
Reinforcement learning is a powerful tool for synthesizing robust locomotion strategies for both legged and wheeled robots. However, successful real-world deployment typically relies on extensive domain randomization and careful reward shaping, which are often time-consuming and difficult to generalize. In this project, we investigate different strategies, e.g. meta–RL, online learning, model-based RL, or similar. as a potential alternative. The ultimate goal is to enable reliable real-world deployment of highly agile locomotion skills on one of our robotic platform (g1, roadrunner, spot, or ANYmal).
Keywords
sim2real, online RL, model-based RL, continue learning, live-long learning
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Master Thesis
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Published since: 2026-08-04
Organization Robotic Systems Lab
Hosts Jenelten Fabian, Dr. , mirrazavi sina
Topics Engineering and Technology
Structure Formation in Hybrid Dairy-, Plant-, and Microalgae-Based Foods
Hybrid foods combining dairy proteins, plant proteins, and microalgae are a promising strategy for developing more sustainable and nutritious food products. However, little is known about how these ingredients interact during gelation and structure formation. In this project, you will investigate the formation of hybrid protein gels and study how microalgae influence microstructure, phase distribution, texture, and functionality. Particular attention will be given to understanding how ingredient interactions can be used to create both microscopic and macroscopic structures, such as distinct domains or marbled appearances. The results will help improve our understanding of complex protein systems and support the development of novel hybrid foods.
Keywords
Food Science - Food Processing - Hybrid Foods -Dairy Proteins - Plant Proteins - Microalgae - Protein Gels - Food Structure Engineering - Phase Distribution - Sustainable Food Systems
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Semester Project , Master Thesis
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Published since: 2026-08-04 , Earliest start: 2026-09-20
Applications limited to Berner Fachhochschule , EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , Lucerne University of Applied Sciences and Arts , University of Zurich , University of Berne , Zurich University of Applied Sciences
Organization Sustainable Food Processing
Hosts Alicusic Nasiha
Topics Engineering and Technology
Illuminate the Moon: Effects of Illumination on Visual–Inertial Odometry
Lunar exploration is rapidly expanding, with future missions expected to rely increasingly on autonomous mobile robots for surface operations[1, 3]. Reliable state estimation, such as Visual-inertial odometry (VIO) is therefore a key enabling technology. However, the Moon presents an unusually harsh illumination environment, such as limited diffuse illumination, strong reflections, and long and large shadowed regions. These effects can reduce image quality and degrade VIO feature detection and accuracy. This project investigates how representative lunar illumination conditions affect visual feature detection and VIO performance on a legged robot. The student will reproduce selected lunar lighting[2] conditions in a lunaranalog environment and systematically evaluate different illumination configurations. Variables may include wavelength spectrum, light incidence angle, intensity and more. The resulting camera data and odometry estimates will be analyzed to identify illumination conditions that lead to reliable or degraded state estimation.
Keywords
Navigation, VIO, Legged Robot, RL
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Published since: 2026-08-03 , Earliest start: 2026-08-03 , Latest end: 2027-04-30
Organization Robotic Systems Lab
Hosts Fuhrer Adrian
Topics Information, Computing and Communication Sciences , Engineering and Technology
Wireless Motion and Health Monitoring with Triboelectric Nanogenerators using a Custom Readout Circuit
This project aims to design and realize a custom single-PCB wireless readout circuit optimized for triboelectric nanogenerators (TENGs) for motion and health monitoring. Unlike previous designs that relied on assembling multiple commercial off-the-shelf PCBs, this project will integrate the functionalities of signal conditioning, energy harvesting, and wireless data transmission onto one compact, low-power circuit board). This PCB will be used to facilitate wireless joint angle analysis and fatigue monitoring during repetitive human movements using machine learning and deep learning.
Keywords
TENG, energy harvesting, wireless circuits, PCB design, low-power electronics, sensors, movement, mobile health, wearables
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Semester Project , Master Thesis
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Published since: 2026-08-03 , Earliest start: 2026-08-03 , Latest end: 2027-05-01
Organization Biomedical and Mobile Health Technology Lab
Hosts Otesteanu Corin, Dr
Topics Engineering and Technology
Variably Permeable Balloon Catheters for Targeted Drug Delivery
The project focuses on the design of variably porous membranes, fabrication of robotic catheter prototypes, and experimental validation using state-of-the-art vascular phantoms and ex-vivo models
Keywords
Targeted Drug Delivery, Balloon Catheters, Soft Materials, Medical Devices, Microfabrication, Materials Science, Atherosclerosis
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2026-08-03 , Earliest start: 2026-09-01 , Latest end: 2027-07-31
Organization Multiscale Robotics Lab
Hosts Bonomo Tiziano
Topics Medical and Health Sciences , Engineering and Technology , Chemistry
Iterative Design of Soft Electrostatic Actuators for Medical Robotics
Iterating designs of soft electrostatic actuators for soft robotic medical applications. This project develops compliant, fiber- and film-based electrostatic actuators as a lightweight, low-profile actuation technology for soft robotic medical devices operating in close, sustained contact with tissue. Through iterative cycles of electrode geometry, layering, and material selection, we aim to improve actuation force, stroke, and conformability while meeting the safety and durability margins required for medical use. Prototypes are characterized for force output, cyclic durability, and controllability, working toward a validated actuator platform suitable for integration into wearable or implantable soft robotic systems."
Keywords
Electrostatic actuator, 3d printing, Soft Robotics, hydraulic system, biomedical
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ETH Zurich (ETHZ)
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Published since: 2026-07-31 , Earliest start: 2026-09-01 , Latest end: 2027-09-01
Applications limited to ETH Zurich
Organization Soft Robotics Lab
Hosts Katzschmann Robert, Prof. Dr. , Albayrak Deniz , Hinchet Ronan
Topics Engineering and Technology
Microfabrication and characterization of microelectrodes for neural interfaces
The focus of this project is on the fabrication of microelectrodes for advanced neural interfaces in a cutting-edge cleanroom environment. Our research aims to develop high-resolution neural probes utilizing state-of-the-art microfabrication techniques.
Keywords
Microfabrication; Cleanroom; Neural Interfaces; Microelectrode Arrays; Biomedical Devices; Nanotechnology; Electrochemical Deposition; Neurotechnology; Semiconductor Processing; Bioengineering.
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Semester Project , Master Thesis
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Published since: 2026-07-30 , Earliest start: 2026-09-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Engineering and Technology
Procedural environment generation for scalable sim-to-real training
Scale simulation-based robot learning using cutting-edge Gen-AI!
Keywords
Synthetic environment creation, generative AI, foundation models, automatic texturization
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Master Thesis
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Published since: 2026-07-30
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Engineering and Technology
Electrochemical Measurements in Neuronal Networks and Brain Tissue Models
This project offers the opportunity to explore electrochemical measurements in neuronal cultures and brain tissue models using advanced microelectrode technologies. In addition to recording neuronal activity on high-density microelectrode arrays (HD-MEAs), the work will focus on developing and applying electrochemical techniques such as cyclic voltammetry (CV) and fast-scan cyclic voltammetry (FSCV). A key component of the project is the development of experimental and analytical methods for studying chemical processes and signaling in neural systems, with potential applications in neuroscience, biosensing, and drug discovery.
Keywords
Electrochemistry, Biosensors, Neuroscience, Microelectrode Arrays, Cyclic Voltammetry, Fast-Scan Cyclic Voltammetry, Neurotechnology
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Semester Project , Internship , Lab Practice , Master Thesis
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Published since: 2026-07-30 , Earliest start: 2026-09-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Medical and Health Sciences , Engineering and Technology , Chemistry , Biology , Physics
Soft object reconstruction
This project consists of reconstructing soft object along with their appearance, geometry, and physical properties from image data for inclusion in reinforcement learning frameworks for manipulation tasks.
Keywords
Computer Vision, Structure from Motion, Image-based Reconstruction, Physics-based Reconstruction
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Master Thesis
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Published since: 2026-07-30 , Earliest start: 2025-03-17
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Engineering and Technology
LLM-based scene graph construction and navigation
Use LLM priors for efficient scene graph construction and navigation in urban environments
Keywords
Open vocabulary scene graphs, urban navigation, planning
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Master Thesis
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Published since: 2026-07-30 , Earliest start: 2026-03-23
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Information, Computing and Communication Sciences , Engineering and Technology
Learning-based robot state estimation
Achieve high-quality state estimation on any platform via conditioned neural representations
Keywords
Learning-based state estimation
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Master Thesis
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Published since: 2026-07-30 , Earliest start: 2026-03-23
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Information, Computing and Communication Sciences , Engineering and Technology
Change-aware HD map-based planning and reasoning
Smart fusion of offline maps with online detections for rich context-based navigation planning.
Keywords
HD mapping, change detection, online map update
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Master Thesis
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Published since: 2026-07-30
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Engineering and Technology
Towards ubiquitous intelligent humanoid systems
Why aren't humanoids everywhere yet — not smart enough, or not built well enough? Join us and find out the hard way. Build state-of-the-art solutions with your own proposal.
Keywords
Humanoid, Learning, Locomotion, Manipulation, Navigation, Planning, Hardware, Large Models
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Semester Project , Master Thesis
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Published since: 2026-07-30 , Earliest start: 2026-07-30 , Latest end: 2028-10-31
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , Technische Universität München
Organization Robotic Systems Lab
Hosts Zhang Chong
Topics Engineering and Technology
Printing Beyond Thermoplastics: Layer-by-Layer Crosslinking of Polyamides in Powder Bed Fusion
Polymer Powder Bed Fusion is currently dominated by thermoplastics, which can soften at elevated temperatures and show limitations in creep, chemical resistance, and long-term mechanical performance. This project investigates a new approach in which reactive crosslinking agents are incorporated into polyamide powders and activated layer by layer during printing, converting the thermoplastic material into a reversible thermoset-like network. Your task is to identify suitable crosslinking chemistries, prepare dry-blended powder formulations, and determine how the additives influence powder flowability and thermal behaviour. Formulations that remain compatible with PBF processing will be transferred to Fraunhofer for printing trials and subsequent evaluation of crosslinking and part performance.
Keywords
additive manufacturing; polymers; laser powder bed fusion; polyamide; thermosets
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Bachelor Thesis , Master Thesis
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Published since: 2026-07-28 , Earliest start: 2026-09-14
Applications limited to ETH Zurich
Organization Advanced Manufacturing Laboratory
Hosts Pereira Caroline
Topics Engineering and Technology
Accelerating Polymer Powder Bed Fusion through Enhanced Heat Transfer and Post-Layer Fusion
Polymer Powder Bed Fusion (PBF) is often limited by the time required for irradiated powder to absorb laser energy and fully fuse before the next powder layer can be applied. Improving heat generation and transfer within the powder bed could shorten layer times, increase printing speed, and reduce the energy consumption and CO₂ footprint of the process. In this project, you will identify suitable energy-absorbing additives, evaluate them in two polymer systems, and determine their influence on fusion behaviour, processing speed, and mechanical properties, particularly tensile and fatigue performance. The best-performing approach will then be transferred to a new partially bio-based Nylon 1016 system.
Keywords
Additive manufacturing; polymers; powder bed fusion
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Bachelor Thesis , Master Thesis
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Published since: 2026-07-28 , Earliest start: 2026-09-14
Applications limited to ETH Zurich
Organization Advanced Manufacturing Laboratory
Hosts Pereira Caroline
Topics Engineering and Technology
Action Segmentation for Assembly Workflow Understanding
Understanding how people perform assembly operations is important for process analysis, documentation, training, and assistance. Supervised temporal action segmentation can divide long videos into procedural steps accurately, but depends on costly frame-level annotations and fixed action classes. This project compares supervised, unsupervised, and zero-shot approaches for segmenting assembly workflows and investigates when task descriptions and physical measurements can reduce the need for manual labels.
Keywords
Computer Vision, Temporal Action Segmentation, Unsupervised Learning, Vision–Language Models, Egocentric Video, Assembly, Open-vocabulary Recognition, Physical Grounding, Weak Supervision, Workflow Understanding
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Semester Project , Bachelor Thesis
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Published since: 2026-07-27 , Earliest start: 2026-08-01 , Latest end: 2027-01-31
Organization pd|z Product Development Group Zurich
Hosts Hogenkamp Maarten
Topics Information, Computing and Communication Sciences , Engineering and Technology
Tytan Parkour
Legged robots are increasingly capable of navigating complex environments, yet training pipelines for agile locomotion remain tightly coupled to specific hardware. This thesis aims to investigate two questions: how much further can quadrupedal parkour be pushed with stronger actuators, and how can such frameworks be made more broadly applicable? The ANYmal parkour pipeline will be deployed on Tytan, a next-generation platform with substantially higher torque capacity, targeting a more challenging set of obstacles. Concurrently, a more morphology-agnostic training approach will be developed and validated across three robots: ANYmal, Spot, and Tytan.
Keywords
Reinforcement Learning, Parkour, Policy Distillation, DAgger, Morphology Transfer
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Master Thesis
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Published since: 2026-07-27 , Earliest start: 2026-08-01 , Latest end: 2027-06-01
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Palma Emilio , Schwarke Clemens
Topics Information, Computing and Communication Sciences , Engineering and Technology
Multi-Teacher Distillation
Multi-teacher policy distillation has enabled legged robots to achieve unprecedented levels of agility by compressing multiple specialized expert policies into a single, unified student network. However, scaling this process remains a major challenge due to severe inter-expert interference. Standard distillation frameworks often produce conflicting optimization gradients across teachers, leading to corrupted, "blended" student behaviors (e.g., an agile parkour skill inadvertently distorting flat-ground gait stability). The goal of this thesis is to investigate the root causes of this performance degradation in multi-policy distillation and develop robust algorithmic and architectural mitigation strategies, ensuring that the student retains the high-fidelity behavior of each individual teacher.
Keywords
Robotics, Knowledge Distillation, Multi-Task Learning
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Master Thesis
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Published since: 2026-07-27 , Earliest start: 2026-09-01
Organization Robotic Systems Lab
Hosts Elanjimattathil Aravind , Baines Robert , Palma Emilio , Schwarke Clemens
Topics Mathematical Sciences , Engineering and Technology
Enhancing ethylene glycol oxidation on Au using water-in-salt electrolytes
The transition to a sustainable energy and chemical economy demands new ways of producing valuable chemicals without relying on fossil-derived feedstocks or energy-intensive processes. Electrocatalysis, using renewable electricity to drive chemical transformations at ambient conditions, offers a powerful route toward this goal, provided we can design catalytic systems that are both efficient and selective. We are excited to offer a master thesis opportunity in the Lukatskaya group to work on exactly this challenge. The electrooxidation of ethylene glycol offers an attractive route to valorize a simple, abundant feedstock into higher-value oxidation products, while also serving as a model reaction for understanding polyol and biomass-derived alcohol oxidation more broadly. On gold electrodes, this reaction is known to be highly sensitive to the local electrochemical environment, yet the role of the electrolyte itself in steering activity and selectivity remains poorly understood, but could be used to improve catalytic performance. In this project, you will investigate how water-in-salt electrolytes, highly concentrated electrolyte systems reshape the interfacial environment at the electrode and, in turn, the performance of ethylene glycol oxidation on gold. Building on promising first results, you will systematically explore the relationship between electrolyte composition/structure and catalytic performance. Your work will combine three complementary approaches: • Electrolyte screening using a rotating disc electrode (RDE): electrolyte preparation, cyclic voltammetry, and impedance spectroscopy to map out activity trends across electrolyte compositions. • Mechanistic insight via ATR-SEIRAS (Attenuated Total Reflection Surface-Enhanced Infrared Absorption Spectroscopy): thin-film electrode preparation and in operando measurements to directly observe how the electrolyte structure influences the reaction at the interface. • Product analysis through NMR, batch electrolysis, and chronoamperometry to quantify product formation and selectivity under different electrolyte conditions. No prior electrochemistry experience is required, you will be trained in all relevant techniques. This project is well suited for a curious and motivated student who wants to gain hands-on experience across electrochemical characterization, in situ spectroscopy, and product quantification, and who is interested in the interface of electrolyte chemistry and catalysis for a sustainable, greener future.
Keywords
Electrocatalysis, Interface engineering, Green chemistry
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Published since: 2026-07-26 , Earliest start: 2026-07-27 , Latest end: 2027-04-30
Organization Laboratory for Electrochemical Energy Systems
Hosts Mürtz Sonja
Topics Chemistry
Beyond Convexity: Planning Mobile Manipulation of Diverse Objects
This thesis will focus on developing a planning and control pipeline to enable quadrupedal mobile manipulators to precisely push and relocate objects of arbitrary and non-convex geometries in planar environments.
Keywords
Non-prehensile manipulation, quadrupedal manipulation, robotics, motion planning, diffusion, trajectory optimization, reinforcement learning
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Semester Project , Master Thesis
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Published since: 2026-07-22 , Earliest start: 2026-09-01 , Latest end: 2027-04-01
Organization Robotic Systems Lab
Hosts Dadiotis Ioannis , Mittal Mayank , An Tianxu
Topics Information, Computing and Communication Sciences , Engineering and Technology
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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Collaboration , Internship , Lab Practice
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Published since: 2026-07-21 , 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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Published since: 2026-07-21 , 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: 2026-07-21 , Earliest start: 2026-07-01 , Latest end: 2026-12-31
Organization Functional Materials Laboratory
Hosts Gregorini Michele
Topics Engineering and Technology , Chemistry , Biology
Disposable Scoop-Pouch for Leg-Assisted Regolith Sampling
This project develops and experimentally validates a disposable thin-sheet scoop-pouch gripper for robust, contamination-free, leg-assisted regolith collection and storage.
Keywords
legged robot, mechanism, hardware, gripper, end-effector, space, planetary exploration, robotics, AI, Learning
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-07-21
Organization Robotic Systems Lab
Hosts Tanaka Yusuke
Topics Information, Computing and Communication Sciences , Engineering and Technology
High-Speed PCB Design for Neural Interfaces
This project focuses on the development of a neural recording system for in vivo neuroscience experiments. Building upon an existing in vitro electrophysiology platform based on state-of-the-art CMOS microelectrode array technology, the goal is to design and implement the electronic hardware required to transform the system into a compact and robust in vivo device. The project involves high-speed PCB design, mixed-signal system integration, data communication interfaces, and hardware characterization. The work is highly hands-on and offers exposure to advanced neuroscience instrumentation and cutting-edge microelectronics.
Keywords
High-speed PCB design; Altium Designer; Mixed-signal electronics; Neural recording; Neurotechnology; CMOS microelectrode arrays; In vivo electrophysiology; Hardware development; System integration; High-speed interfaces; Signal integrity; Data acquisition; Oscilloscope measurements; Electronics prototyping; Biomedical instrumentation
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-07-20 , Earliest start: 2026-09-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Engineering and Technology
Automatic Object-to-Marker Pose Estimation
Understanding how tools and objects move and interact is important for automated workflow analysis and process documentation. Marker-based 6D pose estimation accurately measures an object’s position and orientation, but typically tracks only the attached marker rather than relevant object features. This project explores how state-of-the-art computer vision methods can automatically establish this relationship using only a few images or a short monocular video, reducing calibration effort and simplifying the integration of new objects.
Keywords
Computer Vision, 6D pose estimation, Tracking, Object tracking, Transformers, Calibration, Deep Learning, Few-shot learning, Workflow understanding
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Published since: 2026-07-20 , Earliest start: 2026-08-01 , Latest end: 2027-02-01
Organization pd|z Product Development Group Zurich
Hosts Hogenkamp Maarten
Topics Information, Computing and Communication Sciences , Engineering and Technology
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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Published since: 2026-07-19 , Earliest start: 2026-01-01 , Latest end: 2027-08-31
Organization Müller Group / Laboratory for Bone Biomechanics
Hosts Mathavan Neashan
Topics Medical and Health Sciences , 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
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Simulation, modeling, system identification, parameter estimation, lasers
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Master Thesis
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Published since: 2026-07-16 , Earliest start: 2026-07-16 , Latest end: 2026-12-31
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Organization Advanced Manufacturing Laboratory
Hosts Schröder Nikolai
Topics Engineering and Technology
Building a Next-Generation Sensorized Dexterous Robotic Hand
This project aims to develop a new tendon-driven, anthropomorphic robotic hand intended to serve as a reproducible and extensible reference platform for academic research. Building on the Faive and open-source ORCA hands, the new system will target 19+ degrees of freedom, improved mechanical repeatability, per-joint impedance and force control, an actuated 2-DoF wrist, and integrated proprioceptive and tactile sensing. The student will take a leading role in the mechanical design, prototyping, testing, and iterative development of the fingers, hand, and wrist.
Keywords
Robotic hand, tendon-driven actuation, mechanical design, CAD, anthropomorphic robotics, proprioceptive sensing, tactile sensing
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-07-15 , Earliest start: 2026-08-10 , Latest end: 2027-06-30
Organization Soft Robotics Lab
Hosts Katzschmann Robert, Prof. Dr. , Appius Aurel , Kim Jaehoon
Topics Engineering and Technology
Student internship - Engineering Anisotropic Bacterial Cellulose Gels
Biological systems offer routes to build matter with controlled structure and function across scales. Among them, bacterial cellulose (BC) is uniquely attractive: produced as a fibrillar network with high purity and robust mechanical properties, it finds applications in diverse sectors including cosmetics, energy devices, and the biomedical industry. However, most research has targeted BC production yield and cost, while its microstructure, specifically fiber alignment, remains poorly understood and largely engineered post-production.
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- Hydrogel - Microscopy - Cellulose - Sustainability
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Semester Project , Internship , Master Thesis , Master Project (D-MATL)
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Published since: 2026-07-14 , Earliest start: 2026-09-01 , Latest end: 2026-12-31
Organization Complex Materials
Hosts Ansart Elise
Topics Engineering and Technology
Process Monitoring and Predictive Maintenance in Modern Manufacturing
Efficient and reliable manufacturing requires continuous insight into process and machine conditions. This student project focuses on process monitoring and predictive maintenance with an emphasis on tool wear and machine vibrations, aiming to improve productivity, precision, and equipment lifetime through data-driven monitoring and decision support.
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Process Monitoring; Predictive Maintenance; Tool Wear; Vibrations; Manufacturing Systems
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2026-07-10
Organization Computational Modelling of Materials in Manufacturing
Hosts Ostad Ali Akbari Vahid, Dr.
Topics Engineering and Technology
Intelligent Process Planning in Milling through Physics-Supported Reinforcement Learning
This project aims to contribute to transferring innovative academic developments in machining mechanics and artificial intelligence into a viable industrial solution. The objective is to elevate process planning and machining operations from experience-based, conservative production to science-backed, optimal production with clear economic and environmental benefits.
Keywords
Milling; Reinforcement Learning; Toolpath Planning; CNC; Process Optimization
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Semester Project , Internship , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-07-10
Organization Computational Modelling of Materials in Manufacturing
Hosts Ostad Ali Akbari Vahid, Dr.
Topics Information, Computing and Communication Sciences , 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: 2026-07-08 , 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
Thermal and Structural Analysis of 3DP Building Components
Additive manufacturing has shown great potential in the building industry, enabling the fabrication of complex, customisable geometries that were previously impossible with conventional fabrication. Combining the advancement of this technology with ceramics, a fundamental building material with exceptional properties of durability, thermal stability and strength, functional properties of building components can be enhanced. This research investigates the potential of optimising the thermal and structural properties of ceramic 3D-printed components through a parametric design workflow that explores parameters of form, thickness and infill geometry.
Keywords
additive manufacturing, 3D printing, ceramics, structural simulation, thermal simulation, building performance
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Semester Project , Master Thesis , Master in Integrated Building Systems (ETHZ) , ETH Zurich (ETHZ)
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Published since: 2026-07-06 , Earliest start: 2026-08-01
Organization Digital Building Technologies
Hosts Lim Ariel
Topics Architecture, Urban Environment and Building
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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Published since: 2026-07-02 , Earliest start: 2026-11-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Information, Computing and Communication Sciences , Engineering and Technology
From Generated Shapes to Functional Structures
Generative models can produce convincing 3D shapes from a sentence or an image, but the shapes are made to look right rather than to hold up in use, and current physics-aware fixes change only the surface under loads that a person supplies by hand.
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Master Thesis
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Published since: 2026-07-02 , Earliest start: 2026-07-01 , Latest end: 2027-08-31
Organization Engineering Design and Computing Laboratory
Hosts Stankovic Tino
Topics Information, Computing and Communication Sciences , Engineering and Technology
Differentiable Multiscale Design of Soft Mechanical Metamaterials
Mechanical metamaterials draw their behavior from architected microgeometry rather than from the base material. Designing them for the soft, large-deformation regime that matters for soft robotics, wearables, and energy absorption remains hard because the link between microarchitecture and macro response becomes strongly nonlinear at large strain, where linear homogenization no longer holds.
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Published since: 2026-07-02 , Earliest start: 2026-07-01 , Latest end: 2027-08-31
Organization Engineering Design and Computing Laboratory
Hosts Stankovic Tino
Topics Information, Computing and Communication Sciences , Engineering and Technology
Digital Solutions for Intelligent Machining
In collaboration with leading partners from Swiss industry, this project offers an excellent opportunity to develop next-generation virtual machining for milling and turning processes using physics-informed digital twins. By combining process simulation with modern artificial intelligence such as large language models (LLMs), the framework aims to enable intelligent machining-strategy optimization that boosts productivity, part quality, and tool utilization, delivering significant economic and environmental benefits for manufacturing.
Keywords
Manufacturing; Modeling; Artificial Intelligence
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Published since: 2026-07-02
Organization Computational Modelling of Materials in Manufacturing
Hosts Ostad Ali Akbari Vahid, Dr.
Topics Information, Computing and Communication Sciences , Engineering and Technology
Organic 3D-Printable Paste Development for Ceramic DIW
Clay can be shaped and formed through a wide range of techniques, and a subsequent sintering process transforms it into ceramic, a stiff and durable material well-suited to building components. In Direct Ink Writing (DIW), clay must retain a certain water content to enable extrudability for printing. After printing, the part passes through a drying stage in which water is lost, causing shrinkage, and is then sintered at high temperatures. The shrinkage and warping that occur during drying and sintering introduce dimensional deviations, which are problematic for the tolerances required in building components. Therefore, this research develops an organic composite paste to be co-extruded during the 3D-printing process, which aims to reduce the drying and sintering shrinkage of the resultant ceramic component.
Keywords
additive manufacturing, 3D printing, biomaterials, paste formulation, ceramics, clay
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Semester Project , Collaboration , Bachelor Thesis , Master Thesis , Focus Project (ETHZ) , Studies on Engineering Design (ETHZ)
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Published since: 2026-06-26 , Earliest start: 2026-07-13 , Latest end: 2027-04-01
Organization Digital Building Technologies
Hosts Lim Ariel
Topics Engineering and Technology
Human study to validate wearable technology for scoring of movement analysis tests
We aim to conduct a study with human participants to assess the function of our textile-based wearable technology for movement monitoring in clinical and fitness scenarios.
Keywords
smart clothing, wearable technology, textile sensor, fitness tracking, sports medicine, rehabilitation, human study, motion capture, computer science
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2026-06-23 , Earliest start: 2026-07-15 , Latest end: 2026-12-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Ahmadizadeh Chakaveh
Topics Medical and Health Sciences , Engineering and Technology
Building AI-assisted algorithms for robust motion monitoring with smart clothing after re-wearing
The aim of this project is to use machine learning methods to improve smart clothing motion tracking when sensors shift between sessions and wears without fully retraining the model.
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smart clothing, wearable technology, textile sensor, fitness tracking, sports medicine, machine learning, artificial intelligence, domain adaptation, deep learning
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Published since: 2026-06-23 , Earliest start: 2026-02-01 , Latest end: 2027-03-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Ahmadizadeh Chakaveh
Topics Information, Computing and Communication 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
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.
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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
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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Published since: 2026-06-12 , Earliest start: 2026-07-01 , Latest end: 2027-05-31
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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
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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
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
Master Thesis in Industry: Turn Deep Tech into Real Business
Don’t analyze 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 with a diverse team of various backgrounds.
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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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
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
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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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
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.
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Key words: mechanical stresses, cell behavior, fibroblasts, immunostaining.
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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
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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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