Semester Project
Semester Projects at IRIS
Learning Rapid UAV Exploration with Foundation Models
Recent research has demonstrated significant success in integrating foundational models with robotic systems. In this project, we aim to investigate how these foundational models can enhance the vision-based navigation of UAVs. The drone will utilize learned semantic relationships from extensive world-scale data to actively explore and navigate through unfamiliar environments. While previous research primarily focused on ground-based robots, our project seeks to explore the potential of integrating foundational models with aerial robots to enhance agility and flexibility.
Keywords
Visual Navigation, Foundation Models, Drones
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Semester Project , Master Thesis
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Published since: 2026-05-12 , Earliest start: 2026-01-25 , Latest end: 2027-03-31
Organization Robotics and Perception
Hosts Xing Jiaxu
Topics Engineering and Technology
Nature-Derived Microrobots: From Materials to Motion
We invite applications for a Master's thesis / semester project that focuses on the fabrication of microrobots with materials from the nature. Using our developed technique, this project will explore how different shapes influence their control behaviors in bio-fluids. This research aims to advance biomedical technologies, particularly in targeted drug delivery and minimally invasive procedures.
Keywords
Microrobotics, Fluid Dynamics, Biomedical Devices
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Semester Project , Master Thesis , Student Assistant / HiWi , ETH Zurich (ETHZ)
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Published since: 2026-05-11 , Earliest start: 2026-09-01
Organization Multiscale Robotics Lab
Hosts Hu Minghan
Topics Engineering and Technology , Chemistry
Microrobots Made from Droplets
We invite applications for a Master's thesis / semester project that focuses on the fabrication of microrobots with custom shapes. Using our developed droplet printing technique, this project will explore how different microrobot shapes, created by different magnetic fields and materials, influence their control behaviors in blood vessels. This research aims to advance biomedical technologies, particularly in targeted drug delivery and minimally invasive procedures.
Keywords
Microrobotics, Inkjet Printing, Soft Materials, Biomedical Devices
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Semester Project , Master Thesis , Student Assistant / HiWi , ETH Zurich (ETHZ)
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Published since: 2026-05-11 , Earliest start: 2026-09-14
Organization Multiscale Robotics Lab
Hosts Hu Minghan
Topics Engineering and Technology , Chemistry
Computational Modeling of Muscle Dynamics for Biohybrid Robots
This research aims to advance biohybrid robotics by integrating living biological components with artificial materials. The focus is on developing computational models for artificial muscle cells, a critical element in creating biohybrid robots. Challenges include modeling the complex and nonlinear nature of biological muscles, considering factors like elasticity and muscle fatigue, as well as accounting for fluid-structure interaction in the artificial muscle's environment. The research combines first principle soft body simulation methods and machine learning to improve understanding and control of biohybrid systems.
Keywords
Biohybrid Robotics, Computational Models, Soft Body Simulation, Finite Element Method (FEM), Muscle Dynamics, Soft Robotics
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-05-11 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Mekkattu Manuel , Katzschmann Robert, Prof. Dr.
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Biology , Physics
GPU Acceleration of Soft Robot Modeling: Enhancing Performance with CUDA
We are enhancing soft robot modeling by developing a GPU-accelerated version of our FEM-based framework using CUDA. This research focuses on optimizing parallel computations to significantly speed up simulations, enabling larger problem sizes and real-time control. By improving computational efficiency, we aim to advance soft robotics research and facilitate more detailed, dynamic simulations.
Keywords
Soft Body Simulation, high-performance computing, GPU programming, Parallel Computing, Finite Element Method (FEM), Multiphysics Simulation
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-05-11 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Katzschmann Robert, Prof. Dr. , Mekkattu Manuel
Topics Information, Computing and Communication Sciences , Engineering and Technology
Advancing Soft Robot Modeling: Integrating Physics, Optimization, and Control
We are advancing soft robot simulation with FEM and energy-based methods to model complex, adaptive behaviors. This research entails developing the framework to support diverse designs, integrate new physics models, and optimize performance, enabling enhanced control and real-world applications of soft robots.
Keywords
Soft Robotics, Finite Element Method (FEM), Physical Modeling, Benchmarking, Optimization, Multiphysics Simulation, Sim-to-Real
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-05-11 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Mekkattu Manuel , Katzschmann Robert, Prof. Dr.
Topics Information, Computing and Communication Sciences , Engineering and Technology
Insights into the Cellular Bio-Interaction and Biological Effects of Metal–Organic Frameworks
Metal–Organic Frameworks (MOFs) are a versatile class of highly porous materials with tunable structural and functional properties, making them promising candidates for biomedical applications such as drug delivery, imaging, and theranostics.In this project, different MOFs will be synthesized using various metal nodes and organic linkers and their physicochemical properties will be investigated. Based on previous biocompatibility studies performed on different mammalian cell models (immune, epithelial, fibroblast, neural, and cancer cells), the project aims to gain deeper insights into the biological activity of selected MOFs. The interaction between MOFs and cells will be studied through cellular uptake experiments, cytotoxicity evaluation, and analysis of the molecular pathways involved in cell death.
Keywords
Metal-Organic Frameworks (MOFs), Biocompatibility assays, Material characterization techniques, SDS and WesternBlot analysis
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-05-11 , Earliest start: 2026-05-11 , Latest end: 2027-05-11
Organization Multiscale Robotics Lab
Hosts Accursi Martina
Topics Engineering and Technology , Chemistry , Biology
Automated calibration of body-scale contact sensors
Goal: Create a repeatable, precise, and high-throughput robotic experimental setup for characterizing a custom contact sensor. This project is part of a broader effort to enable robots to better perceive whole-body contact and execute dynamic, contact-rich tasks.
Keywords
Robotics, Tactile Sensing, Machine Learning, Automated Calibration, RL, AI, Mechanical Engineering, Manipulation
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Published since: 2026-05-07 , Earliest start: 2026-05-11 , Latest end: 2026-12-31
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Baines Robert , Cramariuc Andrei
Topics Information, Computing and Communication Sciences , Engineering and Technology
Smart Grasping: Foundation Models for Adaptive Industrial Part Handling
This thesis project investigates the use of Vision-Language-Action (VLA) foundation models, such as RT-2 and OpenVLA, to automate the handling of diverse metal parts. By leveraging NVIDIA IsaacSim, the research aims to develop a system that autonomously selects the optimal end-effector—ranging from suction cups to parallel grippers—and executes precise manipulation policies trained via deep reinforcement learning. The project concludes with a verified grasping strategy ready for industrial deployment, while exploring the potential of robotic arms as a universal solution for complex part handling.
Keywords
Robotic Grasping, Endeffector Selection, Foundation Models, Vision–Language–Action (VLA), Reinforcement Learning
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Semester Project , Master Thesis
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Published since: 2026-05-07 , Earliest start: 2026-05-05 , Latest end: 2027-01-31
Organization Mobile Robotics Lab
Hosts Hansson Alexander , Brandes Alex
Topics Information, Computing and Communication Sciences
Silver Nanoparticle-Based Platforms for Thermal Modulation and Glucose Sensing in Engineered Muscle Tissues
This project aims to develop silver nanoparticle-based systems as multifunctional, responsive materials for engineered skeletal muscle tissues. The work will explore their use in localized thermal modulation of cellular activity and as embedded sensors for glucose monitoring within tissue constructs. By integrating nanomaterials with biofabricated muscle systems, the project seeks to create advanced platforms for controlled stimulation and real-time metabolic sensing.
Keywords
silver nanoparticles, nanomaterials, thermal modulation, glucose sensing, skeletal muscle tissue, biofabrication, biosensors, nanomedicine, tissue engineering, bio-hybrid systems.
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-06 , Earliest start: 2026-05-06 , Latest end: 2026-10-31
Organization Soft Robotics Lab
Hosts Filippi Miriam
Topics Medical and Health Sciences , Biology
Programmable Colloidal Crystal Engineering of Magnetoelectric Nanoparticles via DNA Origami
MENPs are an emerging class of multifunctional nanomaterials that exhibit coupled magnetic and electric properties. In this project, MENPs will be synthesized and functionalized with DNA strands to act as programmable building for colloidal crystal assembly. This approach adapts recent advances in DNA-mediated nanoparticle self-assembly, replacing metal–organic frameworks (MOFs) with MENPs to explore new functionalities. Their structural organization will be characterized, and their functional behavior will be investigated. Particular attention will be given to how the intrinsic magnetoelectric properties of MENPs influence collective properties in the assembled state. The project aims to provide insight into the relationship between nanoparticle design, assembly architecture, and emergent material properties, potentially enabling applications in catalysis, sensing, and responsive materials.
Keywords
Magnetoelectric Nanoparticles, Cobalt Ferrite, Barium Titanate,Surface engineering, DNA-programmed colloidal crystals
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-05-06 , Earliest start: 2026-06-01 , Latest end: 2027-05-01
Organization Multiscale Robotics Lab
Hosts Accursi Martina
Topics Engineering and Technology
Encasing Bio-actuators for Real-World Usability of Bio-hybrid Robots
This project aims to develop 3D muscle bioactuators integrated with smart protective encasing systems for operation beyond standard in vitro conditions. Building on existing platforms for thermal regulation and nutrient supply, the project will focus on designing responsive encapsulation strategies capable of adapting to environmental cues, such as pH variations, to regulate exchange with the surroundings. These systems will enable more robust, functional bioactuators for applications in bio-hybrid robotics and translational bioengineering.
Keywords
skeletal muscle, bioactuators, bio-hybrid robotics, stimuli-responsive biomaterials, encapsulation systems, chitosan, pH-responsive materials, biofabrication, tissue engineering
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-06 , Earliest start: 2026-05-06 , Latest end: 2026-10-31
Organization Soft Robotics Lab
Hosts Filippi Miriam
Topics Engineering and Technology , Biology
Hardware & Software Test Setup for Medical Device Incoming Inspection and Verification
Design, build, and document multi-disciplinary test setups: electrical, embedded software, and mechanical; to support incoming component inspections and internal design verification activities for a novel wearable closed-loop vagus nerve stimulation device.
Keywords
Incoming inspection; Hardware-in-the-loop testing; Embedded systems; Test bench design; Electrical characterization; Mechanical verification; Medical device testing; IEC 62304; ISO 13485; Design verification; Test documentation; Wearable devices
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Semester Project , Internship
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Published since: 2026-05-05 , Earliest start: 2026-05-10 , Latest end: 2027-01-01
Organization Rehabilitation Engineering Lab
Hosts Viskaitis Paulius
Topics Information, Computing and Communication Sciences , Engineering and Technology
Cuffless blood pressure estimation through wearable sensors and AI
This project explores machine learning methods to estimate blood pressure from wearable photoplethysmography signals, progressing from single-site public datasets to multi-site measurements to enhance accuracy through spatial cardiovascular dynamics.
Keywords
blood pressure assessment, biomedical signal analysis, data science, medical technologies, and digital health
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-04 , Earliest start: 2026-05-18 , Latest end: 2027-02-28
Organization Biomedical and Mobile Health Technology Lab
Hosts Otesteanu Corin, Dr , Dominguez Federico
Topics Information, Computing and Communication Sciences
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
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Semester Project , Master Thesis
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Published since: 2026-04-29 , Earliest start: 2026-04-13 , Latest end: 2026-12-31
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , Empa , Balgrist Campus , Swiss National Science Foundation , University of Basel , University of Berne , University of Fribourg , University of Lausanne , Wyss Translational Center Zurich , University of Zurich , University of St. Gallen , University of Lucerne , University of Geneva , Sirm Institute for Regenerative Medicine , Institute for Research in Biomedicine
Organization Multiscale Robotics Lab
Hosts Oral Cagatay
Topics Engineering and Technology , Chemistry
Effects of fNIRS-based neurofeedback on working memory
This project investigates the effect of functional near-infrared spectroscopy (fNIRS)-based neurofeedback training on prefrontal brain activity in healthy individuals. You will contribute to data collection and analysis, building on a promising pilot study to validate findings in a larger cohort.
Keywords
functional near-infrared spectroscopy, fNIRS, brain imaging, neurofeedback
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Semester Project , Internship , Lab Practice , Bachelor Thesis
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Published since: 2026-04-26 , Earliest start: 2026-05-04 , Latest end: 2026-07-30
Applications limited to ETH Zurich , University of Zurich
Organization Rehabilitation Engineering Lab
Hosts Pescatore Camille
Topics Medical and Health Sciences , Engineering and Technology , Behavioural and Cognitive Sciences
AI-Driven Rock Reshaping Simulation and Control
This project develops an intelligent system for controlling rock fracture by combining finite element analysis (FEM) with machine learning. FEM simulations train a graph neural network (GNN) to predict fracture patterns. A reinforcement learning (RL) agent then uses this predictive GNN to learn optimal actions for guiding fractures towards a desired rock geometry, enabling precise and goal-oriented control.
Keywords
machine learning, deep learning, reinforcement learning, graph neural networks, construction robotics, space robotics
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Semester Project , Master Thesis
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Published since: 2026-04-19 , Earliest start: 2025-07-07
Organization Robotic Systems Lab
Hosts Spinelli Filippo , Gouveia Marina , Spinelli Filippo , Canales Claudio
Topics Information, Computing and Communication Sciences , Engineering and Technology
Deep Learning of Residual Physics For Soft Robot Simulation
Incorporating state-of-the-art deep learning approaches to augment conventional soft robotic simulations for a fast, accurate and useful simulation for real soft robots.
Keywords
Soft Robotics, Machine Learning, Physical Modeling, Simulation
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Semester Project , Master Thesis
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Published since: 2026-04-03 , 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
Advancing Fluid-Structure Interaction Simulations for Soft Robots
Soft robots are characterized by their ability to continuously deform and adapt to complex environments, making them ideal for tasks in unstructured, dynamic settings. Our lab is developing a cutting-edge soft robot modeling framework that employs FEM and energy-based methods to simulate these robots. Simulating the interactions of these soft robots with their surrounding fluid is crucial for capturing the physics of the robots’ deformation accurately. We have developed a fluid dynamics solver operating on the principle of minimizing energy. The framework now requires thorough benchmarking, optimization for speed, and extension with SRL’s in-house FEM framework for coupling with soft deformable bodies.
Keywords
Fluid Dynamics, Fluid-Structure Interaction, Soft Robot Simulation, Scientific Computing
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-03-31 , Earliest start: 2026-05-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Dhaker Adamya
Topics Engineering and Technology
Event Representation Learning for Control with Visual Distractors
This project develops event-based representation learning methods for control tasks in environments with visual distractors, leveraging sparse, high-temporal-resolution event data to improve robustness and efficiency over traditional frame-based approaches.
Keywords
Event-based vision, representation learning, control policies, reinforcement learning, visual distractors, high-dynamic range, motion blur, sparse data, robust perception, locomotion, navigation.
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Semester Project , Master Thesis
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Published since: 2026-03-10
Organization Robotics and Perception
Hosts Zubic Nikola
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology
High-Speed Object Pickup During Quadrotor Flight with Reinforcement Learning
Explore the possibility of catching/picking up an object during high-speed agile flight, with potential application in fast turnaround delivery.
Keywords
Quadrotor flight, RL, drone delivery, robotics
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Semester Project , Master Thesis
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Published since: 2026-03-09 , Earliest start: 2026-03-01 , Latest end: 2026-09-01
Organization Robotics and Perception
Hosts Zhai Yifan
Topics Engineering and Technology
Vision-Based Drone Racing from Raw Pixels with Deep Reinforcement Learning
Explore the possibility of high-speed drone racing using raw RGB camera images only.
Keywords
Drone Racing, RL, perception, sim-to-real, robotics
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Semester Project , Master Thesis
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Published since: 2026-03-09 , Earliest start: 2026-03-01 , Latest end: 2026-09-01
Organization Robotics and Perception
Hosts Zhai Yifan
Topics Engineering and Technology
(Master Thesis / Internship) - Personalized Low Latency Interactive AI
We are seeking one highly motivated student to join our innovative project focused on developing a cutting-edge voice recognition and personalization platform for wheelchair users. This project aims to deliver low-latency, context-aware, and personalized AI interactions in noisy, multi-user environments using edge devices powered by NVIDIA Orin. The system leverages advanced models and distilled LLMs, combined with biosignal tracking, to provide asynchronous interactions that are well-organized and accessible to doctors, while ensuring user privacy.
Keywords
Voice recognition, AI personalization, low latency, SLMs and distilled LLMs, Edge-Computing, audio processing
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Semester Project , Internship , Master Thesis
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Published since: 2026-03-05 , Earliest start: 2026-04-01 , Latest end: 2026-12-31
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , CSEM - Centre Suisse d'Electronique et Microtechnique , CERN , Berner Fachhochschule , IBM Research Zurich Lab , Hochschulmedizin Zürich , University of Zurich , Zurich University of Applied Sciences , Lucerne University of Applied Sciences and Arts
Organization Sensory-Motor Systems Lab
Hosts Paez Diego, Dr.
Topics 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.
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Semester Project , Bachelor Thesis , Master Thesis
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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
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-03-04
Applications limited to ETH Zurich
Organization Multiscale Robotics Lab
Hosts Boehler Quentin
Topics 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
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Semester Project , Master Thesis
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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
Real-Time AI for EEG-Based Sleep Staging
We are seeking a highly motivated student to support research on real-time, resource-aware deep learning for EEG-based sleep staging. The project investigates how fundamentally different neural architectures behave under identical real-time streaming conditions, with focus on temporal context modeling, preprocessing strategies, and computational efficiency.
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Published since: 2026-02-23 , Earliest start: 2026-03-01
Organization Sensory-Motor Systems Lab
Hosts Dey Sharmita
Topics 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
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Semester Project , Bachelor Thesis , Master Thesis
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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
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Published since: 2026-02-18
Organization Robotic Systems Lab
Hosts Klemm Victor
Topics Information, Computing and Communication Sciences , Engineering and Technology
Regulatory-Compliant Medical Device Packaging Design & Prototyping
Design and prototype a regulatory-compliant, brand-aligned packaging solution for a medical device. The work includes translating needs into packaging requirements, cross-checking existing box label content against applicable regulatory documentation and standards in collaboration with the QMS (e.g., MDR/ISO), iterating visual/branding design, and building physical mock-ups (including some 3D printing). Material selection and pricing/supplier comparisons may be performed to ensure the solution is scalable and manufacturable.
Keywords
Medical device packaging; Labeling compliance; EU MDR; ISO standards; QMS; Prototyping; 3D printing; Branding & graphic design; Material selection; Cost comparison; Manufacturability; Documentation
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2026-02-13 , Earliest start: 2026-02-22 , Latest end: 2026-09-30
Organization Rehabilitation Engineering Lab
Hosts Viskaitis Paulius
Topics Arts , Medical and Health Sciences , Engineering and Technology , Commerce, Management, Tourism and Services , Chemistry
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.
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Semester Project , Master Thesis , Other specific labels , ETH Zurich (ETHZ)
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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
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
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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
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
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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
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
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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
Evolutionary Optimization Meets Differentiable Simulation
The goal is to investigate how the latest differentiable simulation strategies push the limits of learning real-world tasks such as agile flight.
Keywords
robotics, machine learning, computer vision, differentiable simulation, numerical optimization, reinforcement learning, control systems, UAV, drones
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Semester Project , Master Thesis
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Published since: 2025-12-22 , Earliest start: 2026-01-01 , Latest end: 2026-08-01
Organization Robotics and Perception
Hosts Reiter Rudolf
Topics Information, Computing and Communication Sciences , Engineering and Technology
PEGASUS – Retrospective Analysis of Trunk Muscle Strength in Athletes
The aim of this project is to investigate retrospective isometric trunk strength data collected with the PEGASUS 3D dynamometer at the Schulthess Clinic, Zurich. The project offers practical experience in applied sports biomechanics using a large athlete trunk-strength dataset among elite and sub-elite performance-levels and different kinds of sports.
Keywords
sports science, biomechanics, trunk strength, retrospective analysis, athlete profiling
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Published since: 2025-12-19 , Earliest start: 2026-09-15 , Latest end: 2027-03-31
Applications limited to ETH Zurich
Organization Sensory-Motor Systems Lab
Hosts Wolf Peter
Topics Medical and Health Sciences , Engineering and Technology
Trunk Strength Assessment Methods
This project aims to develop a concise, decision-oriented guideline for selecting trunk strength assessment methods for clinical and sports-science settings, based on a structured narrative evidence synthesis.
Keywords
trunk strength, assessment methods, dynamometry, field tests, reliability, validity, feasibility, clinical measurement, sports performance, decision guideline
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Published since: 2025-12-19 , Earliest start: 2026-09-15 , Latest end: 2027-03-31
Applications limited to ETH Zurich
Organization Sensory-Motor Systems Lab
Hosts Wolf Peter
Topics Medical and Health Sciences , Engineering and Technology
Neural Quadrotor Dynamics
This project leverages the Neural Robot Dynamics (NeRD) framework to build a high-fidelity, high-speed neural simulator for a quadrotor UAV. Rather than relying solely on classical rigid-body dynamics and hand-crafted aero/actuation models, we will train a neural network to replace key low-level simulation components (e.g., unmodeled dynamics, actuator response, residual forces), enabling faster rollouts without sacrificing accuracy. The simulator will be fine-tuned on real flight logs to learn a vehicle-specific model and reduce the sim-to-real gap. Thanks to the model’s differentiability, the resulting engine also supports differentiable simulation (DiffSim) for gradient-based system identification, trajectory optimization, and policy learning. Ultimately, we aim to accelerate training of advanced flight control policies and improve zero-shot transfer by matching simulation to the target platform’s true dynamics. Applicants should be comfortable with control and learning for dynamical systems, have ML experience (e.g., JAX/PyTorch), and be proficient in C++ and Python.
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Semester Project , Master Thesis
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Published since: 2025-12-19 , Earliest start: 2026-01-05 , Latest end: 2026-09-01
Applications limited to University of Zurich , ETH Zurich
Organization Robotics and Perception
Hosts Ren Yunfan
Topics Engineering and Technology
Drone Racing Meet Differentiable simulation
In this project, we investigate how DiffSim (differentiable simulation) can accelerate learning for drone racing by enabling end-to-end gradient-based training with Backpropagation Through Time (BPTT). Instead of relying solely on sample-inefficient trial-and-error, we use a differentiable simulator to propagate learning signals through the drone dynamics and control pipeline over time, allowing the controller to improve from trajectories much more efficiently. Our objective is to develop a training framework that learns high-speed, gate-to-gate racing behaviors in significantly less wall-clock time, while maintaining stable and agile flight. Applicants should be comfortable with control and learning for dynamical systems, have machine learning experience (e.g., Jax, PyTorch), and be proficient in C++ and Python.
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Semester Project , Master Thesis
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Published since: 2025-12-19 , Earliest start: 2026-01-05 , Latest end: 2026-09-01
Applications limited to University of Zurich , ETH Zurich
Organization Robotics and Perception
Hosts Ren Yunfan
Topics Engineering and Technology
Vision-Based Drone Control with Structured Networks & Symmetry
Vision-based reinforcement learning controllers can achieve impressive drone flight performance, but training them is often slow and data-hungry because standard networks must re-learn the same behaviors across equivalent viewpoints and orientations. In this project, we will speed up vision-based drone control policy learning by using structured (symmetry-aware / equivariant) neural networks that encode physical and geometric symmetries directly into the policy. By enforcing these structure constraints, the controller can generalize better across rotations and scene variations, improving sample efficiency and sim-to-real transfer. Applicants should have a solid understanding of reinforcement learning, machine learning experience (Jax, PyTorch), and programming experience in Python and C++.
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Semester Project , Master Thesis
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Published since: 2025-12-19 , Earliest start: 2026-01-05 , Latest end: 2026-09-01
Applications limited to ETH Zurich , University of Zurich
Organization Robotics and Perception
Hosts Ren Yunfan
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
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Semester Project , Bachelor Thesis , Master Thesis
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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
Learning Robust Agile Flight via Adaptive Curriculum
This project focuses on developing robust reinforcement learning controllers for agile drone navigation using adaptive curricula. Commonly, these controllers are trained with a static, pre-defined curriculum. The goal is to develop a dynamic, adaptive curriculum that evolves online based on the agents' performance to increase the robustness of the controllers.
Keywords
Reinforcement Learning, Drones
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Semester Project , Master Thesis
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Published since: 2025-12-15 , Earliest start: 2026-05-01 , Latest end: 2026-12-31
Organization Robotics and Perception
Hosts Xing Jiaxu
Topics Engineering and Technology