Projects & Theses
Below you find a collection of BSc and MSc projects and theses that can be carried out within the MaP community.
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
Labels
Semester Project , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-04-03 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Michelis Mike , Katzschmann Robert, Prof. Dr.
Topics Information, Computing and Communication Sciences , Engineering and Technology
Commit or React: Time-Adaptive High-Level Control for Hierarchical Humanoid Motion Skills
Hierarchical humanoid controllers pair a high-level (HL) policy with a library of pre-trained low-level motion skills, but universally assume a fixed HL decision frequency. This assumption is structurally incompatible with the heterogeneous execution durations of athletic motion: a recovery step lasts ~150 ms while a tennis forehand demands ~1.8 s of uninterrupted commitment. Fixed-frequency HL policies fail in one of two ways—operating too slowly, they miss reaction windows; too quickly, they interrupt physically committed motions mid-execution. We address this by formulating the HL as a Semi-Markov Decision Process that outputs (skill_id, τ) pairs, where τ is a learned per-skill commitment duration. The frozen LL skill runs uninterrupted for τ while the HL remains dormant, trained end-to-end with PPO under SMDP-adjusted TD targets. We validate on athletic tasks—hurdling, parkour, tennis—that require both fast reactivity and sustained commitment within the same episode, and deploy on a physical Unitree G1.
Keywords
humanoid, hierarchical-control, motion-skills, time-adaptive-control
Labels
Master Thesis
More information
Published since: 2026-04-03 , Earliest start: 2026-05-01 , Latest end: 2026-12-31
Applications limited to ETH Zurich
Organization Computational robotics laboratory (Prof. Stelian Coros)
Hosts Cheng Jin
Topics Information, Computing and Communication Sciences
Microelectronic circuit design for neural interfaces in 0.18um CMOS technology
This project is about the development of integrated circuits to study neurons and neural networks, and may comprise different parts of the design including analog and/or digital microelectronics, PCB design, signal processing and programming.
Keywords
Microelectronics, CMOS, circuit design, electronics, PCB, signal processing, neural interface.
Labels
Semester Project , Internship , Bachelor Thesis , Master Thesis
Description
Contact Details
More information
Published since: 2026-04-02 , Earliest start: 2026-05-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Engineering and Technology
On-chip Cryptographic Signatures
This project focuses on the design and evaluation of a signature circuit intended for secure integration into a CMOS chip. The student will explore different architectural interpretations, implement cryptographic primitives such as hashing and encryption, and assess the circuit’s performance and security. The goal is to identify the most effective design for real-world deployment in secure hardware.
Keywords
VLSI; Cryptography; Hardware Security; RTL Design; HDL; Key Management; Secure Systems; Cybersecurity;
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Contact Details
More information
Published since: 2026-04-02 , Earliest start: 2026-04-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Information, Computing and Communication Sciences , Engineering and Technology
Domain Randomization for Robust Sampling-Based Model Predictive Control on Bipedal Wheeled Robots
Reinforcement learning with domain randomization achieves robust sim-to-real transfer for legged robots but produces fixed policies lacking online adaptability. GPU-accelerated sampling-based MPC offers online adaptability and interpretable objectives but suffers from brittle sim-to-real transfer. This work proposes integrating domain randomization directly into the sampling-based MPC loop (DR-MPC) for robust sim-to-real transfer on the LIMX Tron1 bipedal wheeled robot, without requiring online parameter estimation or per-robot tuning. Two complementary instantiations are presented: (1) DR-MPC with physics simulation, which randomizes dynamics parameters across GPU-parallelized rollouts and selects actions via MPPI/CEM with tunable risk-sensitive cost aggregation; and (2) DR-MPC with learned surrogate dynamics, which trains a neural dynamics model conditioned on physical parameters on domain-randomized data. Key design choices including parameter selection, randomization range, cost aggregation, and sample budget allocation are ablated on velocity tracking, push recovery, slope traversal, and turning tasks.
Keywords
model-predictive-control, domain-randomization, bipedal-wheeled-robots, world-models
Labels
Master Thesis , ETH Zurich (ETHZ)
More information
Published since: 2026-04-01 , Earliest start: 2026-04-01 , Latest end: 2026-12-31
Applications limited to ETH Zurich
Organization Computational robotics laboratory (Prof. Stelian Coros)
Hosts Cheng Jin
Topics Information, Computing and Communication Sciences
Advancing Fluid-Structure Interaction Simulations for Soft Robots
Soft robots are characterized by their ability to continuously deform and adapt to complex environments, making them ideal for tasks in unstructured, dynamic settings. Our lab is developing a cutting-edge soft robot modeling framework that employs FEM and energy-based methods to simulate these robots. Simulating the interactions of these soft robots with their surrounding fluid is crucial for capturing the physics of the robots’ deformation accurately. We have developed a fluid dynamics solver operating on the principle of minimizing energy. The framework now requires thorough benchmarking, optimization for speed, and extension with SRL’s in-house FEM framework for coupling with soft deformable bodies.
Keywords
Fluid Dynamics, Fluid-Structure Interaction, Soft Robot Simulation, Scientific Computing
Labels
Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2026-03-31 , Earliest start: 2026-05-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Dhaker Adamya
Topics Engineering and Technology
Fighting deepfakes with in-sensor cryptographic signature generation
This project explores the design and evaluation of a secure signature circuit for integration into a CMOS chip. Depending on the student’s background, the work can involve VLSI architecture exploration, implementation of cryptographic primitives such as hashing and encryption, or security analysis of the resulting design. Students from VLSI, embedded systems, computer engineering, and cybersecurity are all encouraged to participate. The goal is to identify the most effective and secure design for real‑world hardware deployment.
Keywords
VLSI; Cryptography; Hardware Security; RTL Design; HDL; Key Management; Secure Systems; Cybersecurity;
Labels
Semester Project , Collaboration , Master Thesis
Description
Contact Details
More information
Published since: 2026-03-30 , Earliest start: 2026-04-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Information, Computing and Communication Sciences , Engineering and Technology
MSc Thesis/MSc Semester Project - Design and Manufacturing of Custom Freezing Stage
We are looking for a motivated master's student to optimize a microscopic freezing stage for our group. We currently have a working system, which lacks in ease of handling and robustness. Furthermore, the thermal insulation and heat transport are not optimized, increasing energy consumption. The idea would be for you to optimize the controller interface, potentially by designing a custom-made printed circuit board (PCB) and optimizing heat transfer to the sample. Further adjustments and optimization are very welcome and can be defined according to your preferences.
Keywords
Design, Prototyping, Electronics, Mechanical Engineering
Labels
Semester Project , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-03-30 , Earliest start: 2026-03-30 , Latest end: 2026-11-30
Organization Interfaces, Soft matter and Assembly
Hosts Scherer Muriel
Topics Engineering and Technology
Optimal Tool Geometry Design for Micromachining
Micromilling plays an important role in the industry, where high precision, excellent surface quality, and reliable tool performance are essential. In such applications, tool geometry strongly influences cutting forces, tool wear, and the roughness of the generated surface, and therefore has a direct impact on process quality, productivity, and cost. Yet in practice, tool selection is often based mainly on available catalog tools and empirical know-how rather than on a systematic process-specific methodology. This project aims to develop a simulation-based model to characterize the influence of cutting geometry on machining performance and to use this understanding for targeted tool selection and optimization.
Keywords
Micromilling; Optimization; Simulation; Manufacturing
Labels
Internship , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-03-28
Organization Computational Modelling of Materials in Manufacturing
Hosts Ostad Ali Akbari Vahid, Dr.
Topics Engineering and Technology
Product Design & Regulatory Assessment of Microgel-Based Biomaterial Systems
This project aims to evaluate different device formats for delivering microgel-based therapies. The focus will be on engineering feasibility, biomolecule assays, and the regulatory landscape governing these devices.
Keywords
Microgels, Biomaterials, Wound healing, Product development, Feasibility, Simulations, FEM, Regulatory, Clinical
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-03-27 , Earliest start: 2026-04-12 , Latest end: 2026-12-31
Applications limited to Empa , CSEM - Centre Suisse d'Electronique et Microtechnique , Balgrist Campus , Department of Quantitative Biomedicine , EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , Forschungsinstitut für biologischen Landbau (FiBL) , Hochschulmedizin Zürich , IBM Research Zurich Lab , Institute for Research in Biomedicine , Lucerne University of Applied Sciences and Arts , Pädagogische Hochschule St.Gallen , Paul Scherrer Institute , Sirm Institute for Regenerative Medicine , Swiss National Science Foundation , Università della Svizzera italiana , Université de Neuchâtel , University of Basel , University of Fribourg , University of Berne , University of Lausanne , University of Geneva , University of Lucerne , University of St. Gallen , University of Zurich , Zurich University of Applied Sciences
Organization Macromolecular Engineering Laboratory
Hosts Emiroglu Börte
Topics Medical and Health Sciences , Engineering and Technology , Chemistry , Biology
End-to-End Setup of AI-Enabled Industrial Workflows
This thesis investigates how AI-enabled industrial workflows with integrated visual verification can be configured end-to-end by non-expert users. Using a digital workflow platform, the work explores how process definition, dataset creation, and model configuration impact verification reliability. Through experimental evaluation across real-world use cases—including industrial maintenance tasks such as Hilti DX76 tool cleaning—the thesis derives practical guidelines for building robust, user-friendly AI-assisted workflows.
Keywords
Digital workflows, computer vision, industrial AI, visual verification, human-AI interaction, workflow automation, maintenance processes, dataset design
Labels
Semester Project , Master Thesis , ETH Zurich (ETHZ)
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-03-26 , Earliest start: 2026-03-26 , Latest end: 2026-09-30
Organization pd|z Product Development Group Zurich
Hosts Hogenkamp Maarten
Topics Engineering and Technology
Learning Coordinated Dual-Arm Manipulation Policies for Parcel Handling
Recent breakthroughs in robot learning (Diffusion Policy, ACT/ALOHA, RDT-1B) have unlocked dexterous single-arm manipulation from a handful of demonstrations. Yet coordinated dual-arm manipulation of real-world objects remains largely unsolved. Logistics is the ideal proving ground: parcels vary wildly in size, mass, and shape, and many are simply too large or heavy for a single arm. This thesis develops a learning-based controller that enables two robot arms (UR5/UR20) to jointly grasp and manipulate parcels under real warehouse conditions.
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-03-26 , Earliest start: 2026-03-16
Organization Computational robotics laboratory (Prof. Stelian Coros)
Hosts Coros Stelian
Topics Engineering and Technology
Learning Object Dependency Graphs for Physical Manipulation in Clutter
Robots operating in real-world environments must manipulate objects that are rarely arranged neatly. In logistics centers and warehouses, objects often form cluttered piles where items support, block, or constrain each other. Removing the wrong object can destabilize the scene or cause failures. Humans naturally reason about these physical relationships and identify which objects can be safely removed. Enabling robots to develop a similar capability remains an open challenge in robotics. This project explores how robots can learn to infer physical relationships between objects in cluttered scenes and use this understanding to select better manipulation actions.
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-03-26 , Earliest start: 2026-03-15
Organization Computational robotics laboratory (Prof. Stelian Coros)
Hosts Coros Stelian
Topics Engineering and Technology
Biomechanical Investigation of Strain-Dependent Permeability in a Self-Lubricating Hip Prosthesis
Current joint replacements cannot replicate the natural weeping lubrication mechanism found in cartilage, resulting in a typical implant lifespan of about 15–20 years due to friction and wear, often leading to revision surgery, particularly in younger patients. Inspired by the load-induced self-pressurization behavior of articular cartilage, we aim to design and develop a novel self-lubricating hip prosthesis that mimics this physiological lubrication mechanism. We have developed a self-lubricating hip prosthesis model in COMSOL Multiphysics that integrates three coupled multiphysics phenomena: Fluid–Structure Interaction, Free and Porous Media Flow, and Poroelasticity. This semester project aims to investigate how the strain-dependent permeability of a hydrogel layer influences fluid transport and lubrication performance within the prosthesis. In addition, the time required for fluid depletion from the prosthesis will be evaluated under different physiological loading conditions such as walking, jogging, and cycling. The non-Newtonian rheological behavior of synovial fluid will also be incorporated to better represent realistic joint lubrication conditions. Students with a background in mechanical engineering, particularly in fluid dynamics, are encouraged to apply. Prior experience with COMSOL Multiphysics is beneficial but not mandatory.
Labels
Semester Project
More information
Published since: 2026-03-23 , Earliest start: 2026-05-01 , Latest end: 2026-08-01
Organization Musculoskeletal Biomechanics
Hosts Mosayebi Mahdieh
Topics Engineering and Technology
Biomechanical Investigation of a Self-Lubricating Hip Prosthesis in the Presence of an Articulating Femoral Head
Current joint replacements cannot replicate the natural weeping lubrication mechanism found in cartilage, resulting in a typical implant lifespan of about 15–20 years due to friction and wear, often leading to revision surgery, particularly in younger patients. Inspired by the load-induced self-pressurization behavior of articular cartilage, we aim to design and develop a novel self-lubricating hip prosthesis that mimics this physiological lubrication mechanism. We have developed a self-lubricating hip prosthesis model in COMSOL Multiphysics that integrates three coupled multiphysics phenomena: Fluid–Structure Interaction, Free and Porous Media Flow, and Poroelasticity. In this semester project, the computational model will be extended by incorporating the femoral head to represent the physiological articulating joint configuration more realistically. The study will investigate how the presence of the femoral head influences fluid pressure distribution, fluid transport, and lubrication behavior within the prosthesis under physiological loading conditions. In addition, the effect of the non-Newtonian rheological behavior of synovial fluid on the lubrication response of the system will be examined. Students with a background in mechanical engineering, particularly in fluid dynamics, are encouraged to apply. Prior experience with COMSOL Multiphysics is beneficial but not mandatory.
Labels
Semester Project
More information
Published since: 2026-03-23 , Earliest start: 2026-05-01 , Latest end: 2026-08-01
Organization Musculoskeletal Biomechanics
Hosts Mosayebi Mahdieh
Topics Engineering and Technology
Humanoid Forceful Interaction
Developing a robust RL method for whole-body behaviors in forceful Human-Object Interaction
Keywords
Human-Object Interaction (HOI), Forceful Manipulation, Whole-Body Control (WBC), Reinforcement Learning
Labels
Semester Project , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-03-20 , Earliest start: 2026-04-13 , Latest end: 2026-10-31
Organization Robotic Systems Lab
Hosts Fuchioka Yuni
Topics Information, Computing and Communication Sciences
Building Authentic Articulated Assets from Real-world Footage
Zero-shot sim assets creation with fine-grained articulation
Keywords
Simulation, 3D reconstruction
Labels
Semester Project
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-03-19 , Earliest start: 2026-03-14
Applications limited to ETH Zurich , University of Zurich
Organization Robotic Systems Lab
Hosts Chen Changan , Sun Boyang
Topics Information, Computing and Communication Sciences
Scene graphs meet implicit representations
Explore novel, hierarchical spatial memory representations for flexible robot autonomy
Keywords
Hierarchical scene graphs, implicit representations, RL
Labels
Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-03-19 , Earliest start: 2026-03-23
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Information, Computing and Communication Sciences , 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
Labels
Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-03-19 , 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
Labels
Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-03-19 , Earliest start: 2026-03-23
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Information, Computing and Communication Sciences , Engineering and Technology
Monitoring in-vitro neural network dynamics using microelectrode arrays
Join our interdisciplinary research team to explore the fascinating world of neuronal networks in vitro. These master projects focus on culturing neurons on CMOS-based microelectrode arrays (MEAs) to study their electrophysiological properties. The exact project scope will be tailored to your interests and background, offering a unique opportunity to contribute to cutting-edge neuroscience and bioengineering research.
Keywords
Neuroscience, Cell Culture, CMOS MEA, Electrophysiology, In Vitro Models, Neural Networks, Bioengineering, Neurotechnology
Labels
Semester Project , Internship , Lab Practice , Master Thesis
Description
Contact Details
More information
Published since: 2026-03-13 , Earliest start: 2026-04-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Medical and Health Sciences , Engineering and Technology , Biology
RAI Project: Ultra Mobile Parkour
This project pushes the limits of robotic agility through Ultra-Mobile Parkour. Moving beyond basic walking, we are developing agents that don’t just "navigate" obstacles — they conquer them. By leveraging high-fidelity simulations and Deep Reinforcement Learning (DRL), we aim to bridge the gap between static movement and high-velocity "flow."
Keywords
UMV, RL, parkour, reinforcement learning, ultra mobile, agile, research, robotics, wheeled, dynamic
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-03-12
Applications limited to EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich
Organization Robotic Systems Lab
Hosts Jenelten Fabian, Dr.
Topics Information, Computing and Communication Sciences
Portable Microscope Product Development
Join Eureka to reinvent microscopes as consumer electronics products. We are seeking a motivated student to design a high-precision, low-cost sample stage and focusing mechanism for a portable digital microscope that brings professional-grade imaging to the consumer market. Your design will potentially be used by: citizen scientists who monitor the algae diversity of Swiss Lakes, nature discovery lovers who are ready for the micro-level wonders, and parents/teachers who want to give more fun to the young. Our website: https://www.eurekamicroscope.com/
Keywords
Mechatronics, Microscopy, Consumer Electronics, Hardware, mechanical design, 3d-printing
Labels
Semester Project
Description
Goal
About pd|z
Contact Details
More information
Published since: 2026-03-10 , Earliest start: 2026-03-25 , Latest end: 2026-09-30
Organization pd|z Product Development Group Zurich
Hosts Zhang Siyi
Topics Engineering and Technology
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.
Labels
Semester Project , Internship , Master Thesis
Description
Contact Details
More information
Published since: 2026-03-10 , Earliest start: 2026-04-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Information, Computing and Communication Sciences
High-Speed Hardware Design for Neural Signal Acquisition
This project centers on designing and developing high-speed electronics for advanced CMOS microelectrode arrays (MEAs) used in in vitro neuroscience research. These electronics are critical for interfacing with neural tissue, enabling precise control and data acquisition from high-density electrode arrays. The project involves schematic design, layout, signal integrity optimization, and testing of printed-circuit boards PCBs operating at ~100 MHz. Ideal candidates will have experience with Altium Designer and a strong foundation in electronics and signal processing.
Keywords
PCB Design; CMOS MEA; Altium; Signal Integrity; Neurotechnology; Neural interface; BCI; Neuroscience
Labels
Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
Description
Contact Details
More information
Published since: 2026-03-10 , Earliest start: 2026-04-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Engineering and Technology
Enhancing Long-Range Navigation with VLMs
This project aims to enhance the WildOS [1] navigation framework by integrating a Vision-Language Model (VLM) [2,3] to perform semantic reasoning over a sparse topological graph. While standard WildOS excels at geometric navigation and open-vocabulary object search, it often lacks the high-level context needed to navigate "semantic traps" like dead-ends or complex roadblocks. By storing VLM-generated node summaries and image captions within the graph, the robot can transition from simple pattern matching to logical spatial querying. This allows the agent to interpret the environment's affordances—such as identifying if a path is "blocked by a gate" versus "temporarily obstructed by a person"—to make more informed recovery decisions.
Keywords
Foundation Models, Computer Vision, Navigation, Perception, Vision-Language Models, VLMs, Robotics, ROS, Field Robotics, Machine Learning,
Labels
Master Thesis
Work Packages
Requirements
Contact Details
More information
Published since: 2026-03-09 , Earliest start: 2026-03-09 , Latest end: 2026-10-31
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Patil Vaishakh , Patel Manthan
Topics Information, Computing and Communication Sciences , Engineering and Technology
Mini-muscle gym: Developing a Broad-field Electrical and Mechanical Stimulation Device for Biohybrid Robots
Biohybrid robotics seeks to replace conventional actuator materials with engineered muscle to harness the adaptability and efficiency of biological systems. A major challenge, however, remains the limited force output of engineered skeletal muscle tissues. This project aims to address that limitation through the development of an electrical stimulation system integrated into a muscle-maturation platform ("mini-muscle gym") designed to enhance tissue strength via mechanical and electrical cues. The work will involve circuit and PCB design, implementation within an existing mechanical framework, and close collaboration with tissue engineers to meet biological requirements. The resulting thesis will form an interdisciplinary contribution at the interface of engineering and biology. See attached pdf for further details and references.
Keywords
Biohybrid robotics, soft robotics, circuit design, signal generation, biomaterials, electrical stimulation, mechanical stimulation, actuation, tissue engineering, muscle tissue, muscle cells.
Labels
Semester Project , Bachelor Thesis , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-03-04 , Earliest start: 2026-03-01 , Latest end: 2026-11-30
Organization Soft Robotics Lab
Hosts Balciunaite Aiste , Paniagua Pablo , Katzschmann Robert, Prof. Dr.
Topics Engineering and Technology
Student projects opportunities at the Medical Robotics Lab
The Medical Robotics Lab led by Prof. Quentin Boehler is actively seeking motivated students to contribute to medical and surgical robotics projects See the full list of proposed projects at: https://mero.ethz.ch/education.html
Keywords
Medical and Surgical Robotics, Minimally Invasive Procedures
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Contact Details
More information
Published since: 2026-03-04
Applications limited to ETH Zurich
Organization Multiscale Robotics Lab
Hosts Boehler Quentin
Topics Engineering and Technology
3D reconstruction with open-vocabulary reconstruction priors
Push the limits of arbitrary online video reconstruction by combining the most recent, prior-supported real-time Simultaneous Localization And Mapping (SLAM) methods with automatic backend regularization techniques.
Keywords
Structure from Motion Visual SLAM
Labels
Master Thesis , ETH Zurich (ETHZ)
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-03-01 , Earliest start: 2025-07-01
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Engineering and Technology
Event-based feature detection for highly dynamic tracking
Event cameras are an exciting new technology enabling sensing of highly dynamic content over a broad range of illumination conditions. The present thesis explores novel, sparse, event-driven paradigms for detecting structure and motion patterns in raw event streams.
Keywords
Event camera, neuromorphic sensing, feature detection, computer vision
Labels
Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-03-01 , Earliest start: 2025-03-17
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Engineering and Technology
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
Labels
Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-03-01 , Earliest start: 2025-03-17
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Engineering and Technology
Generalist policies for robotic bike racing
This project addresses the problem of overfitting in autonomous robotic racing by developing generalist reinforcement learning (RL) policies. Conducted in collaboration between the RAI Institute and ETH Zurich, the research focuses on creating robust track embeddings for complex terrains. These embeddings will condition policies for a bike-like ultra-mobile vehicle (UMV), enabling it to autonomously race on previously unknown mountain-bike trails. The ultimate goal is to deploy these policies on physical hardware to achieve competitive, real-world performance via zero-shot transfer or minimal simulation refinement.
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-03-01
Organization Robotic Systems Lab
Hosts Jenelten Fabian, Dr.
Topics Engineering and Technology
Master Thesis: Autonomous Robotic Cardiac Catheters - Project Abroad at Boston Children's Hospital, Harvard Medical School
We are developing advanced robotic catheter systems to enable precise heart valve repair and the treatment of cardiac arrhythmias. Robotic platforms have the potential to shorten the learning curve for complex beating‑heart procedures and provide a foundation for introducing autonomous functionality. Key elements of this work include the development of autonomous control strategies, integration of therapeutic devices, and comprehensive testing in anatomical and preclinical animal models. Preferred skill sets include experience in robotics, machine learning, control systems, and prototyping.
Keywords
robotic cardiac catheters,valve repair, robotic treatment of arrythmia
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-02-26 , Earliest start: 2026-04-01 , Latest end: 2027-06-01
Organization Multiscale Robotics Lab
Hosts Gantenbein Valentin
Topics Medical and Health Sciences , Engineering and Technology
Master Thesis: Transcatheter Heart Valve Repair and Replacement Devices – Project Abroad at Boston Children's Hospital, Harvard Medical School
Transcatheter interventions offer a less invasive alternative to open-heart surgery by enabling the delivery of therapeutic devices that mimic traditional surgical repair or replacement of cardiac valves. Our work focuses on developing novel tools and devices for both valve repair and valve replacement procedures. These efforts rely on innovative design approaches, creative problem‑solving, and deep expertise in prototyping and experimental evaluation to advance next‑generation transcatheter therapies.
Keywords
transcatheter procedures, heart valve repair, replacement devices
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-02-26 , Earliest start: 2026-03-01 , Latest end: 2027-01-01
Organization Multiscale Robotics Lab
Hosts Gantenbein Valentin
Topics Medical and Health Sciences , Engineering and Technology
Automatic pain detection and assessment using wearable sensors
We want to improve the state-of-the-art on pain assessment using biomedical signals collected from subjects with induced pain. We aim to develop novel algorithms for pain assessment for low-cost wearable devices.
Keywords
pain assessment, distress detection, biomedical signal analysis, data science, medical technologies, digital health
Labels
Semester Project , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-02-25 , Earliest start: 2026-01-15 , Latest end: 2026-10-30
Applications limited to ETH Zurich
Organization Biomedical and Mobile Health Technology Lab
Hosts Dominguez Federico
Topics Information, Computing and Communication Sciences
Investigating trabecularization in response to intermittent parathyroid hormone therapy and mechanical loading after estrogen depletion
The student project will investigate the bone response to intermittent parathyroid hormone (PTH) therapy after estrogen depletion with a specific focus on its capacity to induce trabecularization. The quantitative analysis of experimental in vivo micro-computed tomography scans will lead to new insights into the mechanisms of trabecularization and to define the contribution of mechanical stimulation in this process. The results are expected to advance mechanistic understanding of anabolic PTH therapy and inform the development of future patient-specific treatment strategies.
Keywords
Osteoporosis, parathyroid hormone therapy, mechanical loading, trabecular bone, python programming, R statistical evaluation
Labels
Semester Project , Internship , Bachelor Thesis , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-02-24 , Earliest start: 2026-04-01 , Latest end: 2027-03-31
Organization Müller Group / Laboratory for Bone Biomechanics
Hosts Schulte Friederike
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Three Degrees of Freedom, Parallel Mechanism-Based Leg Mechanisms and Fabrications
Design and fabricate a novel three-degree-of-freedom parallel-kinematics robotic leg that enables highly dynamic behaviors. The project focuses on manufacturable mechanism design, integrated actuators, and linear-drive architectures, resulting in a hardware platform for future legged robotics research and control studies.
Keywords
robotics, mechanical engineering, hardware, reinforcement learning, learning from demonstration, Parallel Mechanisms, Actuator Design, Legged Robotics, Intelligent Robotics
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-02-23 , Earliest start: 2026-03-01 , Latest end: 2026-12-31
Organization Robotic Systems Lab
Hosts Tanaka Yusuke , Baines Robert
Topics Information, Computing and Communication Sciences , Engineering and Technology
Exploring Exotic Wheels For Wheeled-Legged Robots
Wheeled-legged robots combine the advantages of wheels, i.e., efficient high-speed locomotion, with obstacle negotiation and rough terrain capabilities of legs. In this study, different exotic wheel concepts should be researched, evaluated, and possibly implemented on a real robot to potentially boost efficiency, manipulation, and functionality.
Keywords
Wheeled-Legged Robots, Wheels, Robotics, Mechanical and Hardware Design, Manipulation, Tires
Labels
Semester Project , Bachelor Thesis , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-02-18
Organization Robotic Systems Lab
Hosts Klemm Victor
Topics Information, Computing and Communication Sciences , Engineering and Technology
Hierarchical Reasoning Models (HRM) for Robotics
How to properly deal with long-horizon tasks is still an unsolved problem in robot learning. Recent advances in reasoning models present Hierarchical Reasoning Models (HRM), inspired by the hierarchical and multi-timescale processing in the human brain. This fairly open project should implement and test state of the art solutions for long horizon planning that require reasoning in the context of robotics, especially robotics motion control.
Keywords
Robot learning, hierarchical reasoning, machine intelligence, long-horizon planning
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-02-18
Organization Robotic Systems Lab
Hosts Klemm Victor
Topics Information, Computing and Communication Sciences , Engineering and Technology
Digital Manufacturing and Intelligent Process Planning
Machining operations (milling, turning, etc.) still play a major role in the manufacturing industry. In many industrial settings, machine tools are operated with experience-based parameter settings, which are often conservative and suboptimal. As a result, the true production capacity is not fully utilized. In addition, issues such as chatter vibration can occur, leading to poor surface quality, potential damage to the workpiece and the machining system, and shortened tool life due to unsuitable cutting conditions. This leads to increased production costs and resource consumption that could be saved through systematic process optimization.
Keywords
Manufacturing; Digital Twins; Artificial Intelligence; Process Monitoring; Chatter; Structural Dynamics
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-02-17
Organization Computational Modelling of Materials in Manufacturing
Hosts Ostad Ali Akbari Vahid, Dr.
Topics Information, Computing and Communication Sciences , Engineering and Technology
Response Inference in Evolving Conditions via Hypernetworks and Online Learning
Engineering dynamical systems operate under variability and continuously changing conditions. This poses unique requirements when designing twin representations, necessitating the adaptive updating of underlying models in real-time. This thesis aims to address this challenge via the use of hypernetworks for forecasting under variability and their fusion with online and active learning techniques. Thus, this work focuses on developing efficient update mechanisms that allow already trained and deployed surrogates to adapt to sensing data while minimizing computational cost and required measurements. The framework will be validated on benchmark dynamical systems with time-varying parameters and applied to real-world case studies.
Keywords
Hypernetworks; Scientific Machine Learning; Nonlinear Dynamics; Computational Modeling;
Labels
Master Thesis , ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2026-02-13 , Earliest start: 2026-02-01 , Latest end: 2026-08-31
Organization Structural Mechanics (Prof. Chatzi)
Hosts Vlachas Konstantinos , Chatzi Eleni
Topics Engineering and Technology
Large Scale Triangle Splatting
Imagine capturing an entire city from a moving car and turning it into a high-fidelity, interactive 3D world, one that doesn't just look real, but can be dropped directly into a game engine or a physics simulator. This project bridges the gap between cutting-edge AI reconstruction and the traditional graphics pipeline. You will build DiskChunTS, a system designed to reconstruct city-scale environments using Triangle Splatting. By adapting chunk-based memory management, we can stream massive datasets directly from disk, bypassing hardware limits.
Keywords
Gaussian Splatting, Robotics, Reconstruction
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-02-13 , Earliest start: 2026-02-16
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Speciale Pablo , Wilder-Smith Max , Patil Vaishakh
Topics Information, Computing and Communication Sciences
Automation and optimization of a melt electrowriting sytem for layered osteochondral scaffold fabrication
We are looking for a motivated master’s student to work on the automation and optimization of a melt electrowriting (MEW) system, with the aim of enabling the reproducible fabrication of layered scaffolds for osteochondral tissue engineering. The project combines machine-level development with biofabrication and scaffold design, focusing on improving process control and extending MEW toward mechanically integrated cartilage–bone constructs.
Keywords
Melt electrowriting (MEW) ; Biofabrication ; Osteochondral Scaffolds; Articular Cartilage; Subchondral Bone; Additive Manufacturing; Tissue Engineering; Scaffold Design
Labels
Semester Project , Internship , Master Thesis , ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2026-02-13 , Earliest start: 2026-02-23 , Latest end: 2026-08-28
Organization Tissue Mechanobiology
Hosts Amicone Alessio , Pizorn Jaka
Topics Engineering and Technology
RL Finetuning for Generalized Locomotion
This project investigates the potential of reinforcement learning (RL) fine-tuning to develop a single, universal locomotion policy for quadruped or humanoid robots. Building on prior work in multi-terrain skill synthesis [1], we will probe the limits of generalization by systematically fine-tuning on an ever-expanding set of diverse environments. This incremental approach will test the hypothesis that a controller can learn to robustly navigate a vast range of terrains. As a potential extension, procedural terrain generation may be used to automatically create novel challenges, pushing the boundaries of policy robustness.
Keywords
Reinforcement Learning, Locomotion, Quadruped, Humanoid
Labels
Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-02-11 , Earliest start: 2026-02-01
Organization Robotic Systems Lab
Hosts Schwarke Clemens , He Junzhe
Topics Information, Computing and Communication Sciences
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.
Keywords
- Hydrogel - Microscopy - Cellulose - Sustainability
Labels
Semester Project , Internship , Master Thesis , Master Project (D-MATL)
Description
Goal
Contact Details
More information
Published since: 2026-02-10 , Earliest start: 2026-03-15 , Latest end: 2026-12-31
Organization Complex Materials
Hosts Ansart Elise
Topics Engineering and Technology
Low-Voltage Electrohydraulic Actuators for Untethered Robots
We are building the next generation of HALVE (Hydraulically Amplified Low-Voltage Electrostatic) actuators which are flexible, electrostatic actuators that operate at voltages 5–10× lower than traditional soft electrostatic systems. You will help us explore novel actuator geometries, ultra‑thin functional layers, and new fabrication and modeling techniques to unlock scalable, energy‑efficient soft robotic systems.
Keywords
soft robotics, low-voltage actuation, dielectric elastomers, electrostatic actuators, PVDF‑TrFE‑CTFE, dielectric spectroscopy, vapor deposition, CNC sealing, LTSpice, mechatronics, materials science
Labels
Master Thesis , ETH Zurich (ETHZ)
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-02-10 , Earliest start: 2026-02-28 , Latest end: 2026-12-11
Organization Soft Robotics Lab
Hosts Albayrak Deniz , Hinchet Ronan
Topics Engineering and Technology
Power Electronics Design and Magnetic Levitation Control
This project aims to push the boundaries of electromagnetic navigation systems. While these systems are primarily designed for clinical medical applications, we are deploying them for high-performance remote magnetic levitation. The goal is two-fold: optimizing the hardware drivers and exploring advanced dynamic control applications.
Keywords
PCB design, power electronics, electromagnetic levitation, feedback control
Labels
Semester Project , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-02-09 , Earliest start: 2026-02-10
Organization Multiscale Robotics Lab
Hosts Zughaibi Jasan
Topics Engineering and Technology
Electrical Engineering Student (Part-time / Flexible) – Point-of-Care Diagnostics Hardware & Firmware
Diaxxo (ETH Zürich spin-off) is hiring an Electrical Engineering student to support PCB design, electronics bring-up, and embedded firmware for an automated point-of-care PCR platform. Flexible workload, hourly pay, on-site in Dietlikon (close to IKEA).
Keywords
Electrical Engineering, Embedded Systems, PCB Design, KiCad, Firmware, Motor Control, Sensors, Electronics Bring-up, Linux, Point-of-Care, PCR Diagnostics, Prototyping
Labels
Semester Project , Internship , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-02-06 , Earliest start: 2026-02-08 , Latest end: 2026-09-30
Organization Functional Materials Laboratory
Hosts Gregorini Michele
Topics Engineering and Technology
Frontend & Backend Development - MedTech Startup
Diaxxo AG is a Zurich-based medtech startup pioneering next-generation rapid PCR diagnostics. We are looking for a frontend developer (ideally the ability to work on backend and full-stack tasks) to join our young, dynamic team. You’ll be contributing directly to the development of innovative medical devices, working in a flexible, fast-paced environment where your ideas can shape real-world healthcare solutions. Flexible working hours and a collaborative atmosphere make this a great opportunity for motivated students or early-career developers eager to make an impact in MedTech.
Keywords
MedTech, rapid PCR diagnostics, frontend development, backend development, full-stack development, medical device software, UI/UX, React, API integration, Node.js, startup environment
Labels
Semester Project , Internship , Bachelor Thesis , Master Thesis , Student Assistant / HiWi
Description
Goal
Contact Details
More information
Published since: 2026-02-06 , Earliest start: 2026-02-08 , Latest end: 2026-09-30
Organization Functional Materials Laboratory
Hosts Gregorini Michele
Topics Information, Computing and Communication Sciences
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.
Keywords
Process Monitoring; Predictive Maintenance; Tool Wear; Vibrations; Manufacturing Systems
Labels
Semester Project , Internship , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-02-06
Organization Computational Modelling of Materials in Manufacturing
Hosts Ostad Ali Akbari Vahid, Dr.
Topics Engineering and Technology
Imitation Learning for Dual-Arm Robotic Unloading with Two KUKA iiwa Manipulators
This project aims to investigate imitation learning methods for dual-arm robotic unloading tasks using two KUKA iiwa manipulators. Dual-arm systems offer human-level dexterity for handling large or cluttered boxes, but learning coordinated bimanual behaviors remains a challenging research problem due to tight spatial coupling, contact-rich interactions, and task variability. The overall objective is to leverage recent advances in imitation learning to acquire robust and generalizable unloading strategies from human demonstrations
Keywords
robotics, control, machine learning, imitation learning, industrial application
Labels
Master Thesis
The Project
Your Task
You have...
About pd|z
Facts
Contact Details
More information
Published since: 2026-02-06 , Earliest start: 2026-02-16 , Latest end: 2026-08-31
Organization pd|z Product Development Group Zurich
Hosts Gimeno Lucas
Topics Engineering and Technology
Software Development for Machining Digital Twin Implementation
This student project focuses on implementing existing models in Python to create a digital twin of machining systems. The work emphasizes understanding available physics-based models, designing a robust and maintainable software architecture, and developing user interfaces to enable efficient simulation and analysis.
Keywords
Software Development; Digital Twin; Python; User Interface; Manufacturing
Labels
Student Assistant / HiWi
Description
Goal
Contact Details
More information
Published since: 2026-02-06
Organization Computational Modelling of Materials in Manufacturing
Hosts Ostad Ali Akbari Vahid, Dr.
Topics Information, Computing and Communication Sciences , Engineering and Technology
Structural Dynamics Characterization for Productive Machining
Unstable vibrations in milling (chatter) are a major challenge in industry, limiting productivity by forcing operators to use conservative cutting parameters. Such vibrations can cause severe and costly damage to tools, machine tools, and workpieces. The structural dynamics of the machine tool play a key role in the occurrence and characteristics of these vibrations. It has been shown in several cases that material removal rates in milling can be increased by up to 1000% when structural dynamics are well understood and optimal cutting parameters are selected. This project focuses on developing an industry-friendly solution for machine-tool dynamics characterization, enabling the identification of optimal cutting conditions for improved productivity, quality, and system integrity.
Keywords
Milling; Chatter Vibrations; Structural Dynamics; Signal Processing; Piezoelectric Transducers
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-02-06
Organization Computational Modelling of Materials in Manufacturing
Hosts Ostad Ali Akbari Vahid, Dr.
Topics Engineering and Technology
Simulator-Based Study of Camera Monitor Systems for Pedestrian Detection in Mobile Machinery
This project will develop and use a high-fidelity simulator to study how professional mobile-machine operators use Camera Monitor Systems (CMS) to detect pedestrians in hazardous zones. The student will help design and run an experimental study in which operators complete realistic trenching tasks using a virtual excavator while monitoring CMS feeds for pedestrians and responding to hazards. The data will then be used to develop a machine learning (ML) model that can predict safety performance and inform future CMS design.
Keywords
virtual reality; simulator study; Unity; eye-tracking; machine learning for safety and health;
Labels
Internship , Bachelor Thesis , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-02-06 , Earliest start: 2025-12-10 , Latest end: 2026-10-01
Organization Biomedical and Mobile Health Technology Lab
Hosts Qi Shuaixin , Otesteanu Corin, Dr
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences
Engineering of a Smart Consumable-Check Module (prototype, hardware, firmware) for innovative diagnostic devices
DiaxxoCare is a Point-of-Care PCR platform designed for professional use in decentralized and resource-limited settings, where robustness against user mistakes is essential. This project develops an implementation-ready checkpoint system that detects missing or incorrectly placed consumables and unsafe device states (e.g., door/lid not closed), guides the user to recover via the UI, and blocks or pauses the workflow when required conditions are not met. The work includes sensor/actuator selection, firmware/software logic, prototype integration, and validation testing to enable fast deployment on commercial devices.
Keywords
Point-of-Care diagnostics; consumable detection; sensors; actuators; embedded systems; firmware; interlocks; human factors; prototyping; verification & validation; medical/veterinary devices; diaxxoCare
Labels
Semester Project , Course Project , Internship , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-02-06 , Earliest start: 2026-01-01 , Latest end: 2026-08-31
Organization Functional Materials Laboratory
Hosts Gregorini Michele
Topics Engineering and Technology
Machine learning for Motion Estimation and Fatigue Monitoring Using Triboelectric Nanogenerators
This project explores the feasibility of using triboelectric nanogenerators (TENGs) for joint angle analysis and fatigue monitoring during repetitive human movements using machine learning and deep learning.
Keywords
machine learning, artificial intelligence, generative AI, triboelectric nanogenerator, joint angle estimation, motion analysis, fatigue
Labels
Semester Project , Internship , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-02-05 , Earliest start: 2025-09-01 , Latest end: 2026-08-01
Organization Biomedical and Mobile Health Technology Lab
Hosts Otesteanu Corin, Dr
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
3D Bioprinting of Neurotized and Disease-Model Skeletal Muscle Tissues: Focus on 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.
Labels
Semester Project , Master Thesis , Other specific labels , ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2026-02-05 , Earliest start: 2026-02-05 , Latest end: 2026-11-30
Organization Soft Robotics Lab
Hosts Filippi Miriam
Topics Medical and Health Sciences , Engineering and Technology , Biology
Model Compression using the Information Bottleneck Principle for Medical AI and wearable devices
This project investigates the use of the Information Bottleneck (IB) theory as a framework for deep neural network compression, aiming to enhance the deployment of medical AI systems in computationally constrained environments. By quantifying and optimizing the trade-off between information preservation and redundancy, this project explores how IB-based compression can maintain model accuracy while significantly reducing computational load — enabling efficient and scalable medical image segmentation and classification in healthcare applications.
Keywords
Keywords: machine learning, artificial intelligence, medical AI, information bottleneck, information theory, theoretical machine learning, model compression, deep learning, information theory, U-Net, Vision Transformer (ViT), wearable devices
Labels
Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-02-05 , Earliest start: 2026-01-25 , Latest end: 2026-12-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Otesteanu Corin, Dr
Topics Information, Computing and Communication Sciences , 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
Labels
Semester Project , Internship , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2026-02-05
Organization Computational Modelling of Materials in Manufacturing
Hosts Ostad Ali Akbari Vahid, Dr.
Topics Information, Computing and Communication Sciences , Engineering and Technology
Investigation of tomographic kidney stone data
Shock wave lithotripsy (SWL) is a non-invasive acoustic treatment used to fragment kidney stones. Micro-computed tomography, which is a form of X-ray imaging enabling three-dimensional reconstruction of a sample space, offers spatial mapping of fracture patterns throughout the stone resulting from treatment. Such damage features arise because of the incident shock-stone surface interactions and from cavitation activity encompassing the stone. Classifying each individual pixel of the reconstructed volume (semantic segmentation), into the corresponding material phases (i.e. stone, water, air) visualizes the development of damage features and opens methods for quantifying the incurred damage.
Keywords
X-ray tomography, shock wave lithotripsy, cavitation, image analysis, kidney stone
Labels
Master Thesis , ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2026-01-31 , Earliest start: 2026-02-16 , Latest end: 2026-08-28
Organization Group Supponen
Hosts Brewer Cameron
Topics Engineering and Technology
Programmable Magnetic Microrobots for Targeted Therapies
This Master's thesis (or semester project) will focus on engineering magnetic microrobots for controlled dissolution under in vivo conditions. We will develop and characterize magnetic microrobots based on different hydrogels, compositions, and degrees of crosslinking. The main objective is to tailor the dissolution properties of the microrobots to enable controlled drug delivery and safe clearance from the body after completion of a defined task. Validation of microrobot performance in physiologically relevant environments may include an animal study.
Keywords
Magnetic microrobots, hydrogels, dissolution, drug delivery
Labels
Semester Project , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-01-28 , Earliest start: 2026-04-13 , Latest end: 2026-09-30
Organization Multiscale Robotics Lab
Hosts Oral Cagatay
Topics Engineering and Technology , Chemistry
Learning 3D-Aware Locomotion with Depth Foundation Model
Learning 3D-Aware Locomotion with Depth Foundation Model
Labels
Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-01-27 , Earliest start: 2026-01-27
Organization Robotic Systems Lab
Hosts Zhang Chong , Schwarke Clemens , Patel Manthan
Topics Information, Computing and Communication Sciences
Real-time Transepithelial/transendothelial electrical resistance (TEER)-based measurements of tissue barrier function on microfluidic organ-on-a-chip device
We offer a project where you will refine a novel system for real-time TEER-based assessment of barrier function of human in vitro tissue models (e.g., bladder, lung) in microfluidic device developed in the Bioengineering Lab.
Keywords
TEER, electrodes, impedance, microfluidics, in vitro barrier models, organoids;
Labels
Internship , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-01-27 , Earliest start: 2025-11-01 , Latest end: 2026-11-01
Organization Bio Engineering Laboratory
Hosts Kurmashev Amanzhol
Topics Engineering and Technology , Biology
Pull or push? Unifying mobile manipulation skills for a quadrupedal manipulator
This thesis will focus on unifying multiple different mobile manipulation skills into a single controller for mobile manipulation with a quadrupedal manipulator
Keywords
mobile manipulation, robotics, control, reinforcement learning, quadrupedal manipulation
Labels
Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-01-26 , Earliest start: 2026-02-01
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Dadiotis Ioannis
Topics Information, Computing and Communication Sciences , Engineering and Technology
Gaussian Splatting Super Resolution
Radiance fields like 3D Gaussian Splatting enable fast, high-fidelity scene reconstruction from real-time data. However, reconstruction quality improves in noticeable stages—e.g., coarse at 500 epochs, detailed at 5000. This project explores whether AI-based upscaling and denoising techniques can be used to predict and accelerate these improvements during training. By anticipating reconstruction quality transitions, we aim to reduce training time while maintaining visual fidelity—advancing the efficiency of radiance field learning.
Keywords
Gaussian Splatting, Computer Vision, Reconstruction
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-01-26 , Earliest start: 2025-11-01 , Latest end: 2026-07-31
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Patil Vaishakh , Wilder-Smith Max
Topics Information, Computing and Communication Sciences
BEV meets Semantic traversability
Enable Birds-Eye-View perception on autonomous mobile robots for human-like navigation.
Keywords
Semantic Traversability, Birds-Eye-View, Localization, SLAM, Object Detection
Labels
Master Thesis , ETH Zurich (ETHZ)
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-01-26
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Gawel Abel
Topics Information, Computing and Communication Sciences , Engineering and Technology
Scene graphs for robot navigation and reasoning
Elevate semantic scene graphs to a new level and perform semantically-guided navigation and interaction with real robots at The AI Institute.
Keywords
Scene graphs, SLAM, Navigation, Spacial Reasoning, 3D reconstruction, Semantics
Labels
Master Thesis , ETH Zurich (ETHZ)
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-01-26
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Gawel Abel , Kneip Laurent
Topics Information, Computing and Communication 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.
Keywords
smart clothing, wearable technology, textile sensor, fitness tracking, sports medicine, machine learning, artificial intelligence, domain adaptation, deep learning
Labels
Semester Project , Internship , Bachelor Thesis , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-01-23 , 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
6-Month Internship Opportunity: Cell Mechanics & Mechanobiology Laboratory – Dermal and Vascular Mechanotransduction & Aging
Are you curious about how cells feel their environment, and how this changes with age? Join our cutting-edge research group for a 6-month internship investigating the intricate relationship between mechanotransduction and aging.
Keywords
cell mechanics mechanobiology aging dermal and vascular mechanotransduction
Labels
Internship , ETH Zurich (ETHZ)
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-01-22 , Earliest start: 2026-02-02 , Latest end: 2026-08-31
Organization Experimental Continuum Mechanics
Hosts Giampietro Costanza
Topics Engineering and Technology , Biology
Development of a soft actuator characterization platform for medical applications
Development of a soft 3d printed characterization platform to evaluate the use of soft electrostatic actuators for soft robotic medical applications.
Keywords
Electrostatic actuator, 3d printing, Soft Robotics, hydraulic system
Labels
ETH Zurich (ETHZ)
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-01-20 , Earliest start: 2026-02-01 , Latest end: 2026-12-31
Applications limited to ETH Zurich
Organization Soft Robotics Lab
Hosts Katzschmann Robert, Prof. Dr. , Albayrak Deniz , Hinchet Ronan
Topics 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
Labels
Semester Project , Internship , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-01-19 , Earliest start: 2026-01-19 , Latest end: 2026-08-31
Organization Müller Group / Laboratory for Bone Biomechanics
Hosts Mathavan Neashan
Topics Medical and Health Sciences , Engineering and Technology
Perceptive Arm Motion Planning and Control for Heavy Construction Machine Tasks
In this work we would utilize reinforcement learning, neural network actuator modeling, and perception for the control and arm motion planning of a 40ton excavator with a free-swinging gripper. The project will be in collaboration with Gravis Robotics, ETH spinoff working on the automation of heavy machinery.
Keywords
reinforcement learning, perception, hydraulics, excavator, manipulation, industry
Labels
Semester Project , Collaboration , Master Thesis , ETH Zurich (ETHZ)
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-01-18 , Earliest start: 2025-07-07
Organization Robotic Systems Lab
Hosts Egli Pascal Arturo , Terenzi Lorenzo , Spinelli Filippo , Spinelli Filippo
Topics Information, Computing and Communication Sciences , Engineering and Technology
Design and manufacturing of next-generation hip implants
The Laboratory of Orthopedic Technology has developed a novel joint implant and is currently optimizing its manufacturing process. We are seeking a highly motivated Master’s student in Mechanical Engineering to join our team for a Master’s thesis project. The project will focus on the mechanical design and experimental validation of the implant. Tasks will include improving the implant design, adapting mechanical testing equipment, and performing mechanical testing to evaluate the implant’s performance. Your tasks Mechanical design and optimization of the joint implant Adaptation and setup of mechanical testing equipment Development and execution of experimental testing protocols Analysis and interpretation of experimental results Your profile Master’s student in Mechanical Engineering or a closely related field Interest in orthopedic implants and new materials development Experience with CAD and mechanical testing is an advantage Motivated, independent, and interested in experimental research This project offers the opportunity to work at the interface of mechanical engineering, biomedical engineering, and materials science, contributing to the development of innovative orthopedic implant technologies.
Keywords
Implant, orthopedic, mechanical design, equipment, injection mold, startup, medtec
Labels
Semester Project , Internship , Master Thesis
Contact Details
More information
Published since: 2026-01-17 , Earliest start: 2026-03-09 , Latest end: 2026-12-31
Organization Bone Pathologies and Treatment
Hosts Du Xiaoyu
Topics Medical and Health Sciences , Engineering and Technology
Industrial Design of a Medical Robotic Platform for Autonomous Eye Injections
The purpose of this project is to enhance an existing robotic platform capable of autonomously delivering injections into the human eye. Rather than starting from zero, the student will build upon substantial prior research. The project’s primary focus is on industrial design—making the system both visually appealing and suitable for clinical settings. This includes collaborating with external manufacturers for casting and production, resulting in a polished, user-friendly device for healthcare professionals.
Keywords
Industrail Design, Mechanical Design, Medical Robotics
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-01-16 , Earliest start: 2026-01-26
Organization Multiscale Robotics Lab
Hosts Zughaibi Jasan
Topics Engineering and Technology
Laser-induced synthesis of fire-resistant materials on wood
Wood’s flammability poses safety risks that restrict its industrial use. Although h-BN is an effective fire-retardant, current coating methods suffer from poor adhesion and low efficiency. We propose a new CO2 laser-synthesis method to overcome these barriers. This project aims to advance this technology, creating durable and efficient next-generation fire-retardant coatings.
Keywords
Wood, h-BN, ceramics, fire-resistance, laser synthesis, coating
Labels
Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-01-16 , Earliest start: 2026-01-26 , Latest end: 2026-09-19
Organization Wood Materials Science (Prof. Burgert)
Hosts Rouèche Mélanie
Topics Engineering and Technology
Custom Wireless Readout Circuit for Triboelectric Nanogenerator (TENG) Sensing and Energy Harvesting
This project aims to design and realize a custom single-PCB wireless readout circuit optimized for triboelectric nanogenerators (TENGs). 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.
Keywords
TENG, energy harvesting, wireless circuits, PCB design, low-power electronics, sensors
Labels
Semester Project
Description
Goal
Contact Details
More information
Published since: 2026-01-14 , Earliest start: 2026-02-01 , Latest end: 2026-09-30
Organization Biomedical and Mobile Health Technology Lab
Hosts Zada Muhammad
Topics Engineering and Technology
Compile Controlling Scripts for EHD-RP and Enable Automation for Nanoscale Printing
EHD-RP (electrohydrodynamic redox printing), a promising nanoscale 3D metal printing technique, was first discovered and developed at the Laboratory for Nanometallurgy seven years ago. The platform is homemade and consists of multiple hardware components operating under different communication principles. The first version was controlled using MATLAB, followed by a second version implemented in Python. However, due to intrinsic limitations of the Python language, system latency restricts the platform’s ability to achieve intricate printed geometries. We therefore propose switching from Python to C, which is more suitable for low-level hardware control and parallelization
Keywords
nanoscale 3d printing
Labels
Master Thesis , ETH Zurich (ETHZ)
Goal
Contact Details
More information
Published since: 2026-01-12 , Earliest start: 2026-01-19 , Latest end: 2026-08-24
Organization Nanometallurgy
Hosts Ma Zhongqi
Topics Information, Computing and Communication Sciences , Engineering and Technology
Design and fabrication of microfluidic chip-based nozzle for nano additive manufacturing
In EHD-RP (electrohydrodynamic redox printing), 3D nanostructures are fabricated by depositing metal-ion-containing droplets in a confined electroplating process [1]. The current nanometer-sized printing nozzle is fabricated by laser melting and pulling, which results in an undefined orifice and poor control over the opening size—both of which hinder reproducibility and structural precision [2]. In this project, you will replace the current nozzle with a state-of-the-art microfluidic chip, using the current advancements in microfluidic device fabrication for bringing greater control and versatility to nano 3D metal printing. Your work will thus be instrumental for a broad range of future applications and research.
Keywords
Nanoscale 3d printing
Labels
Master Thesis
Goal
Contact Details
More information
Published since: 2026-01-12 , Earliest start: 2026-04-06 , Latest end: 2026-12-14
Organization Nanometallurgy
Hosts Ma Zhongqi
Topics Engineering and Technology
Engineered Magnetic Core-Shell Microswimmers: Coupled Shape and Susceptibility Optimization for Precise Actuation.
Recent advancements in medical robotics have significantly enhanced precision and innovation in healthcare, indicating a new era of minimally invasive procedures that reduce patient complications and discomfort. In particular, the development of robots constructed from biocompatible materials with elastic moduli similar to soft biological tissues offers substantial promise for biomedical applications, as their inherent mechanical compliance improves safety during procedures. This project aims to fabricate double-compartment, soft, tether-free magnetic microrobots and to investigate their locomotion strategies. Critical parameters, including shell thickness, shape and magnetic anisotropy, will be examined in detail. Finally, the prototypes will be navigated and evaluated in vitro using a silicone model.
Keywords
Nanoparticles, Iron Oxide, Hydrogel, Magnetic Navigation, Anisotropy, Template-assisted fabrication, Alignment.
Labels
Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-01-09 , Earliest start: 2026-01-18 , Latest end: 2026-08-31
Applications limited to ETH Zurich , Empa
Organization Multiscale Robotics Lab
Hosts Pustovalov Vitaly
Topics Medical and Health Sciences , Engineering and Technology , Physics
Engineered Growth:Solvothermal Synthesis of Zinc-Substituted Iron Oxide Nanoparticles for Medical Applications.
Iron oxide nanoparticles (NPs) have garnered substantial interest within the scientific community due to their broad applicability in biomedical engineering, including drug and gene delivery systems, as well as in diagnostic imaging. This interest is primarily attributed to their favorable properties, such as high saturation magnetization and low cytotoxicity. Among the various iron oxides, magnetite (Fe3O4) is of interest in this thesis. It exhibits an inverse spinel crystal structure, which significantly influences its magnetic behavior. Doping magnetite with zinc ions (Zn2+) has been demonstrated to enhance the material’s magnetic performance by increasing saturation magnetization. In this project we aim to perceive the key parameters, which influence the growth kinetics of the Zinc-substituted NPs. In particular, elemental composition together with the NPs size distribution will be analysed via TEM-EDX, crystallinity and phase identification will be achieved via XRD and magnetic properties measured with the help of VSM. As a result, by the end of the project, we shall be able to control size, shape and magnetic properties of the synthesized NPs. Finally specifically designed Zinc-substituted NPs will be utilized and tested for the medical application.
Keywords
Nanoparticle, Iron oxide, Solvothermal synthesis, Doping, Nanomagnetism
Labels
Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2026-01-08 , Earliest start: 2026-01-11 , Latest end: 2026-08-31
Applications limited to ETH Zurich , Empa
Organization Multiscale Robotics Lab
Hosts Pustovalov Vitaly
Topics Engineering and Technology , Earth Sciences , Chemistry , Physics
Combined Muscle and Nerve Tissue Engineering
Engineered muscle tissues have applications in regenerative medicine, drug testing, and understanding motion. A key challenge is restoring neuromuscular communication, especially in treating volumetric muscle loss (VML). This project aims to create functional neuromuscular constructs with biomimetic innervation. Scaffolds will be made using electrospun fibers, conductive materials, and drug-loaded graphene. Muscle and nerve cells derived from iPSCs will be seeded into these scaffolds. Constructs will be tested for motion, drug response, and integration in bio-hybrid robotic systems. The platform will advance muscle-nerve regeneration, drug testing, and bio-hybrid robotics.
Keywords
Tissue engineering, innervation, neural tissue, nerve, muscle tissue, scaffold, iPSCs, muscle cells, bioprinting, biofabrication, biohybrid robotics, soft robotics, 3D printing, biomaterials, electrical stimulation, actuation.
Labels
Semester Project , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-01-07 , Earliest start: 2026-01-01 , Latest end: 2026-10-31
Organization Soft Robotics Lab
Hosts Filippi Miriam
Topics Medical and Health Sciences , Engineering and Technology , Biology
Designing the Next Generation of Injectable Drug Depots
Many drugs fail to achieve optimal therapeutic outcomes due to limitations of conventional delivery routes, such as poor oral bioavailability or the need for frequent intravenous administration. These challenges are particularly pronounced in chronic therapies that require stable, long-term drug exposure. Injectable depots, including subcutaneous systems, offer a promising alternative by forming local drug reservoirs that enable sustained and controlled drug release over extended periods. Polymer-nanoparticle (PNP) hydrogels represent an emerging class of injectable depot materials, combining injectability, viscoelasticity, and the ability to encapsulate and protect therapeutic agents. This project aims to investigate strategies to stabilize and industrialize drug-loaded PNP hydrogel formulations, with a particular focus on sterilization and dehydration approaches that preserve their structural and functional properties. The outcomes will contribute to the development of clinically and industrially viable injectable depot systems for long-acting therapies.
Labels
Semester Project , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2026-01-06 , Earliest start: 2026-01-06 , Latest end: 2026-12-31
Organization Macromolecular Engineering Laboratory
Hosts Guzzi Elia
Topics Medical and Health Sciences , Engineering and Technology , Chemistry
Urban Robot Navigation with Scene Graphs and Foundation Models
Solve key challenges of urban scene representations and enable robots to navigate to goals with language instructions using advanced perception capabilities of foundation models
Keywords
Navigation, Scene Representation, Vision Language Models, Robot Learning
Labels
Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2026-01-06 , Earliest start: 2026-01-01 , Latest end: 2026-08-31
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Huang Chenguang , Kneip Laurent
Topics Information, Computing and Communication Sciences
Single-cell Encapsulation for RNA Sequencing
This project focuses on understanding the metabolism of bacteria exposed to an enzymatic inhibitor. By employing microfluidic systems, we aim to perform a single-based encapsulation in hydrogel beads to be exposed to inhibitors. Using FACS-based sorting and bulk sequencing, bacteria in hydrogel beads will be sorted and the RNA from pool or individual beads will be extracted for sequencing. We aim to create an RNA sequencing protocol for sorted hydrogel beads containing bacteria to analyze the total gene expression profiles of our candidates.
Keywords
Keywords: Bacteria, RNA, droplets, microfluidic, high-throughput, hydrogel, gene expression, sequencing
Labels
Semester Project , Internship , Bachelor Thesis , Master Thesis
Description
Contact Details
More information
Published since: 2026-01-05 , Earliest start: 2025-08-04 , Latest end: 2026-03-31
Organization Complex Materials
Hosts Enrriquez Nadia
Topics Medical and Health Sciences , Engineering and Technology , Chemistry , Biology
Development of Wireless Ion Sensing Platforms using Metamaterials and Soft Biointerfaces
This project explores the design and realization of a flexible, wireless ion-sensing patch by integrating resonant metamaterial structures with bio-interfacing soft materials. The system is intended for noninvasive detection of physiologically relevant ions from skin-interfaced fluids using passive sensing mechanisms
Keywords
flexible electronics, metamaterials, wireless biosensors, resonant sensors, skin-compatible interfaces
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-12-23 , Earliest start: 2026-01-15 , Latest end: 2026-10-29
Organization Biomedical and Mobile Health Technology Lab
Hosts Zada Muhammad
Topics Engineering and Technology
Assessing the acute and long-term effects of an app intervention on stress using multimodal wearable data
This project investigates changes in stress levels over the course of a longitudinal app-based intervention, as well as acute physiological responses during app use. A wide range of physiological signals were recorded using wearable devices to comprehensively capture autonomic regulation and correlates of stress.
Keywords
electrocardiography (ECG), electrodermal activity (EDA), photoplethysmography (PPG), respiration, electroencephalography (EEG), smart-watch, wearable devices, machine learning, artificial intelligence, signal processing, data analysis, stress, sleep
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-12-18 , Earliest start: 2026-01-05 , Latest end: 2026-12-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Luster Alexandre
Topics Information, Computing and Communication Sciences , Engineering and Technology
Operator Learning for Plasticity
We aim to explore general strategies that can be applied to operator learning frameworks and are specific to history-dependent material behaviors.
Keywords
Scientific Machine Learning; SciML; Plasticity; Solid Mechanics; Operator Learning; Artificial Intelligence for Science; Machine Learning;
Labels
Semester Project , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-12-16 , Earliest start: 2026-03-01
Organization Computational Mechanics Group
Hosts Mousavi Sepehr
Topics Information, Computing and Communication Sciences , Engineering and Technology
Agentic AI for Creating Large Solid Mechanics Datasets
We aim to design and create a framework that uses language model agents to create large physics datasets with minimum human intervention or supervision.
Keywords
Solid Mechanics; Material Modeling; Scientific Machine Learning; SciML; Finite element method; Large language models; LLMs; Agentic AI; NLP
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-12-16 , 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
Inline Quality Control with image analysis & AI
diaxxo, a start-up from ETH Zürich, is revolutionizing molecular diagnostics with a cutting-edge Point-of-Care PCR device. Their innovative technology facilitates rapid, accurate diagnostic testing across human, veterinary, and food applications, especially in developing countries. The PCR process amplifies DNA sequences to identify pathogens accurately. Key to diaxxo's system are specialized aluminum cartridges containing pre-loaded, dried reagents, essential for precise diagnostics. However, current manufacturing challenges in reagent loading and drying affect cartridge quality. The project aims to develop a Quality Control station using advanced imaging and AI to ensure accurate reagent placement and drying, enhancing diagnostic reliability and effectiveness.
Keywords
Image Analysis, AI Technology, High-Resolution Imaging, Visual Data, Quality Control (QC), Automated Decision Making, Defect Detection, Machine Learning, pattern Recognition, Real-Time Analysis
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-12-13 , Earliest start: 2024-07-21 , Latest end: 2025-06-30
Organization Functional Materials Laboratory
Hosts Gregorini Michele
Topics Information, Computing and Communication Sciences , Engineering and Technology
Data-driven analysis of railway track condition using real-world and simulated GPR measurements
Ground Penetrating Radar (GPR) is an increasingly important tool for assessing the condition of railway infrastructure, particularly with respect to ballast fouling, contamination, and moisture presence, key indicators of track health and long-term performance. In collaboration with SBB and Terra Vermessungen AG, this master thesis investigates how real-world and simulated GPR data can be used to develop robust, data-driven methods for railway track condition assessment. The student will work with extensive field measurements, apply advanced signal processing and statistical/time-series analysis, and explore machine learning approaches to extract meaningful condition indicators from GPR responses. The work will support ongoing research efforts to better understand subsurface behaviour, enhance interpretation of GPR signals, and contribute to the planning and execution of future measurement campaigns on operational railway lines.
Keywords
Ground Penetrating Radar, railway track condition, ballast fouling, moisture detection, machine learning, signal processing
Labels
Semester Project , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-12-12
Organization Structural Mechanics (Prof. Chatzi)
Hosts Arcieri Giacomo
Topics Engineering and Technology
Let the cells dance!
Dermal Fibroblasts are resident cells in the thickest layer of the skin. They are thought to be sparsely spread out, happily hanging out in their neighborhood. In vitro, we simplify the physiological situation by culturing the cells on 2D substrates to enable us to study them under distinct stimuli. One of which is the stiffness of the matrix that the cells attach to (mimicking for example stiff extracellular matrix of wounded skin vs. soft ECM in healthy skin). Once plated on the substrates, the cells spread and thereby test the substrate stiffness by forming focal adhesions and pulling by contraction, which we can visualize by microscopy imaging after several hours. Dermal Fibroblasts are resident cells in the thickest layer of the skin. They are thought to be sparsely spread out, happily hanging out in their neighborhood. In vitro, we simplify the physiological situation by culturing the cells on 2D substrates to enable us to study them under distinct stimuli. One of which is the stiffness of the matrix that the cells attach to (mimicking for example stiff extracellular matrix of wounded skin vs. soft ECM in healthy skin). Once plated on the substrates, the cells spread and thereby test the substrate stiffness by forming focal adhesions and pulling by contraction, which we can visualize by microscopy imaging after several hours.
Keywords
Mechanobiology, Cell Culture, Live Cell Imaging Expereriments, Image Analysis, Coding
Labels
Semester Project , Internship , Lab Practice , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-12-12 , Earliest start: 2026-01-05 , Latest end: 2026-07-31
Organization Experimental Continuum Mechanics
Hosts Kromer Daniela
Topics Medical and Health Sciences , Engineering and Technology , Biology
Implementation of a Quality Management System in a diagnostic startup
The intern/student will support the development and refinement of a practical Quality Management System (QMS) for point-of-care PCR devices and cartridges. The focus is on product and process risk analysis, definition of critical quality control points, and implementation of robust documentation, traceability, and non-conformance management to ensure reliable, high-quality diagnostic products in an industrial start-up environment.
Keywords
Quality Management System, Quality Control, Risk Management, PCR Devices, Cartridges, SOPs, Traceability, Non-Conformance, Diagnostics, Manufacturing
Labels
Semester Project , Internship , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-12-11 , Earliest start: 2026-01-01 , Latest end: 2026-09-01
Organization Functional Materials Laboratory
Hosts Gregorini Michele
Topics Engineering and Technology , Commerce, Management, Tourism and Services , Chemistry
Computational Modeling of Muscle Dynamics for Biohybrid Robots
This research aims to advance biohybrid robotics by integrating living biological components with artificial materials. The focus is on developing computational models for artificial muscle cells, a critical element in creating biohybrid robots. Challenges include modeling the complex and nonlinear nature of biological muscles, considering factors like elasticity and muscle fatigue, as well as accounting for fluid-structure interaction in the artificial muscle's environment. The research combines first principle soft body simulation methods and machine learning to improve understanding and control of biohybrid systems.
Keywords
Biohybrid Robotics, Computational Models, Soft Body Simulation, Finite Element Method (FEM), Muscle Dynamics, Soft Robotics
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-12-09 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Mekkattu Manuel , Katzschmann Robert, Prof. Dr.
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Biology , Physics
GPU Acceleration of Soft Robot Modeling: Enhancing Performance with CUDA
We are enhancing soft robot modeling by developing a GPU-accelerated version of our FEM-based framework using CUDA. This research focuses on optimizing parallel computations to significantly speed up simulations, enabling larger problem sizes and real-time control. By improving computational efficiency, we aim to advance soft robotics research and facilitate more detailed, dynamic simulations.
Keywords
Soft Body Simulation, high-performance computing, GPU programming, Parallel Computing, Finite Element Method (FEM), Multiphysics Simulation
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-12-09 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Katzschmann Robert, Prof. Dr. , Mekkattu Manuel
Topics Information, Computing and Communication Sciences , Engineering and Technology
Advancing Soft Robot Modeling: Integrating Physics, Optimization, and Control
We are advancing soft robot simulation with FEM and energy-based methods to model complex, adaptive behaviors. This research entails developing the framework to support diverse designs, integrate new physics models, and optimize performance, enabling enhanced control and real-world applications of soft robots.
Keywords
Soft Robotics, Finite Element Method (FEM), Physical Modeling, Benchmarking, Optimization, Multiphysics Simulation, Sim-to-Real
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-12-09 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Mekkattu Manuel , Katzschmann Robert, Prof. Dr.
Topics Information, Computing and Communication Sciences , Engineering and Technology
Multistable robotic tensegrities for dynamic shape-shifting
This thesis will combine robotic hardware prototyping with rigorous first principles-based modeling. The goal: tap into tensegrities’ nonlinear properties, such as multistability and instability, to realize robotic modules (bodies, arms, legs, etc.) that form the basis of dynamic shape-shifting systems.
Labels
Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-12-04 , Earliest start: 2026-01-01 , Latest end: 2026-08-01
Organization Robotic Systems Lab
Hosts Baines Robert
Topics Information, Computing and Communication Sciences , Engineering and Technology
Reinforcement Learning for Excavation Planning In Terra
We aim to develop a reinforcement learning-based global excavation planner that can plan for the long term and execute a wide range of excavation geometries. The system will be deployed on our legged excavator.
Keywords
Keywords: Reinforcement learning, task planning
Labels
Semester Project , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-12-01 , Earliest start: 2026-02-02 , Latest end: 2026-09-30
Organization Robotic Systems Lab
Hosts Terenzi Lorenzo
Topics Information, Computing and Communication Sciences
Perceptive Generalist Excavator Transformer
We want to develop a generalist digging agent that is able to do multiple tasks, such as digging and moving loose soil, and/or control multiple excavators. We plan to use a decoder only GPT model, trained on offline data and potentially online RL as posttraining, to accomplish these tasks.
Keywords
Offline reinforcement learning, transformers, autonomous excavation
Labels
Semester Project , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-12-01 , Earliest start: 2026-02-02 , Latest end: 2026-10-31
Organization Robotic Systems Lab
Hosts Werner Lennart , Terenzi Lorenzo , Nan Fang
Topics Information, Computing and Communication Sciences
Reinforcement Learning for Particle-Based Excavation in Isaaclab / Newton
We want to train RL agents on our new particle simulator, accelerated on the GPU via warp in Isaaclab and Newton.
Keywords
particle simulation, omniverse, warp, reinforcement learning
Labels
Semester Project , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-12-01 , Earliest start: 2026-02-01 , Latest end: 2026-07-31
Organization Robotic Systems Lab
Hosts Terenzi Lorenzo
Topics Information, Computing and Communication Sciences
Self-Supervised LiDAR–RGB Encoders for Autonomous Earthworks
This project adapts recent self-supervised 3D and 2D–3D representation learning methods (Sonata/Concerto-style encoders) to build a robust LiDAR–RGB backbone for earthmoving robots. The goal is a reusable encoder that powers perception for excavation, loading, traversability, and safety on real construction sites, and runs in real time on our robots.
Keywords
LiDAR–RGB fusion, Self-supervised learning, 2D–3D representations, Earthmoving robotics, Perception
Labels
Semester Project , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-12-01 , Earliest start: 2026-02-02 , Latest end: 2026-08-31
Organization Robotic Systems Lab
Hosts Terenzi Lorenzo
Topics Engineering and Technology