Projects & Theses
Below you find a collection of BSc and MSc projects and theses that can be carried out within the MaP community.
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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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
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
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Semester Project , Bachelor Thesis , Master Thesis
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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
Grasp Sequence Planning for Multi-Robot Assembly
For autonomous assembly, preparing grasp poses is not a trivial task. Not only does the part to be assembled need to be grasped with a high stability and confidence, but the gripper geometry needs to be accounted for as well to avoid collisions with the rest of the assembly. Thus, a naive grasp planning that might be sufficient for pick and place tasks might fail for an assembly process.
Keywords
Reinforcement Learning Imitation Learning Machine Learning Robotics Control
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Master Thesis
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Published since: 2026-02-16 , Earliest start: 2026-01-28 , Latest end: 2026-10-28
Organization pd|z Product Development Group Zurich
Hosts Gimeno Lucas
Topics Engineering and Technology
Dexterous grasp-aware human motion retargeting
This thesis will focus on developing a pipeline for human-to-humanoid motion retargeting including dexterous grasping using robotic hands.
Keywords
reinforcement learning, humanoid robots, dexterous grasping, whole-body motion control, motion retargeting
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Semester Project , Master Thesis
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Published since: 2026-02-16 , Earliest start: 2026-02-23 , Latest end: 2026-10-31
Organization Robotic Systems Lab
Hosts Zurbrügg René
Topics Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences
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;
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Master Thesis , ETH Zurich (ETHZ)
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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
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Semester Project , Master Thesis
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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
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Semester Project , Internship , Master Thesis , ETH Zurich (ETHZ)
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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
Thesis in Industry - Starting ASAP!
ETH Zürich's Exploration Lab is partnering with VAT - the leading valve manufacturer for high-vacuum applications - to offer a unique thesis opportunity. You'll have the freedom to choose from a diverse range of real-world projects across multiple domains, based on your individual interests.
Keywords
usability, high-tech, rapid prototyping, sustainability, industrial automation, mechanical design, mechanical engineering, automation, process design, robotics, machine learning, applied AI, food processing, advanced materials, agile, development, product development, control
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Semester Project , Master Thesis
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Published since: 2026-02-12 , Earliest start: 2026-02-15 , Latest end: 2026-09-12
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , Zurich University of Applied Sciences
Organization pd|z Product Development Group Zurich
Hosts von Salis Marco , von Hopffgarten Arne , von Petersdorff-Campen Kai
Topics Information, Computing and Communication Sciences , Engineering and Technology
Dynamic and cyclic actuation for improved endoluminal navigation of soft continuum robots
We want to explore the use of dynamic/cyclic motions to improve the navigation of robotic catheters, guidewires or endoscopes for endoluminal procedures. This project aims to build catheter prototypes and an experimental setup to evaluate this concept in vitro using anatomical models and state-of-the-art electromagnetic navigation systems to induce these motions magnetically. Gaining a theoretical understanding on this approach through simulated results can be explored as an alternative or as a complement.
Keywords
Mechatronics, Hardware Design, Programming, Simulation
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Master Thesis
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Published since: 2026-02-11 , Earliest start: 2026-03-02
Applications limited to ETH Zurich
Organization Multiscale Robotics Lab
Hosts Boehler Quentin
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
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Master Thesis
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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
MR-compatible positioning devices for minimally invasive instruments
We want to develop robotic devices for minimally invasive interventions under MRI (Magnetic Resonance Imaging) guidance. This project aims to design and evaluate a device to precisely position a variety of surgical tools during these procedures.
Keywords
Medical/Surgical Robotics, Hardware Design, MRI
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Studies on Mechatronics (ETHZ) , Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-02-11 , Earliest start: 2026-03-02
Applications limited to ETH Zurich
Organization Multiscale Robotics Lab
Hosts Boehler Quentin
Topics Engineering and Technology
Localization of minimally-invasive surgical robots in interventional MRI
This project investigates intraoperative tracking methods for soft continuum robots to enable closed-loop control during minimally invasive procedures performed under Magnetic Resonance Imaging (MRI) guidance. The work focuses on evaluating the performance of tracking markers in in‑vitro phantoms and exploring strategies that support real-time pose estimation and control of the robotic device.
Keywords
Medical/Surgical Robotics, Medical Imaging, Hardware Design, Tracking
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Master Thesis
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Published since: 2026-02-11 , Earliest start: 2026-03-02
Applications limited to ETH Zurich
Organization Multiscale Robotics Lab
Hosts Boehler Quentin
Topics Engineering and Technology
Vision-Based non-Prehensile Mobile Manipulation on a Quadrupedal manipulator
Build a robot that can see and rearrange unknown objects — without motion capture.
Keywords
Mobile Manipulation, Visuomotor Policies, Reinforcement Learning, Sim-to-Real Transfer, Quadrupedal Robotics
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Semester Project , Master Thesis
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Published since: 2026-02-11 , Earliest start: 2026-02-23 , Latest end: 2026-11-01
Organization Robotic Systems Lab
Hosts Bhardwaj Arjun , Dadiotis Ioannis
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Student internship - Engineering Anisotropic Bacterial Cellulose Gels
Biological systems offer routes to build matter with controlled structure and function across scales. Among them, bacterial cellulose (BC) is uniquely attractive: produced as a fibrillar network with high purity and robust mechanical properties, it finds applications in diverse sectors including cosmetics, energy devices, and the biomedical industry. However, most research has targeted BC production yield and cost, while its microstructure, specifically fiber alignment, remains poorly understood and largely engineered post-production.
Keywords
- Hydrogel - Microscopy - Cellulose - Sustainability
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Semester Project , Internship , Master Thesis , Master Project (D-MATL)
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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
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Master Thesis , ETH Zurich (ETHZ)
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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
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Semester Project , Master Thesis
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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
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Semester Project , Internship , Master Thesis
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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
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Semester Project , Internship , Bachelor Thesis , Master Thesis , Student Assistant / HiWi
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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
Project 1: Perception and State Estimation for Robotic Carton Folding
This project aims to develop perception and state estimation methods for robotic carton folding and packaging tasks. Reliable state estimation is a key enabler for flexible and generalizable packaging automation, as it allows robots to adapt their actions to different carton types, sizes, and unfolding conditions without relying on rigid, preprogrammed sequences. The overall objective is to discover robust representation methods for later generalization of robot skills by machine learning methods.
Keywords
robotics, control, machine learning, imitation learning, industrial application
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Master Thesis
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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
Learning and Generalization of Robotic Carton Folding Skills
This project aims to investigate learning methods that enable robots to generalize carton folding skills across different carton types, sizes, and geometries. Although cartons may differ in dimensions and folding sequences, they often share common structural patterns and manipulation primitives. The overall objective is to study how such shared structure can be exploited to learn reusable and adaptable folding skills from a small number of demonstrations.
Keywords
robotics, control, machine learning, imitation learning, industrial application
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Master Thesis
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Published since: 2026-02-06 , Earliest start: 2026-02-16 , Latest end: 2026-09-01
Organization pd|z Product Development Group Zurich
Hosts Gimeno Lucas
Topics Engineering and Technology
Process Monitoring and Predictive Maintenance in Modern Manufacturing
Efficient and reliable manufacturing requires continuous insight into process and machine conditions. This student project focuses on process monitoring and predictive maintenance with an emphasis on tool wear and machine vibrations, aiming to improve productivity, precision, and equipment lifetime through data-driven monitoring and decision support.
Keywords
Process Monitoring; Predictive Maintenance; Tool Wear; Vibrations; Manufacturing Systems
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2026-02-06
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
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Master Thesis
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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
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Student Assistant / HiWi
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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
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Semester Project , Bachelor Thesis , Master Thesis
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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;
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Internship , Bachelor Thesis , Master Thesis
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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
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Semester Project , Course Project , Internship , Bachelor Thesis , Master Thesis
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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
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Semester Project , Internship , Master Thesis
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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.
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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
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
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Master Thesis
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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
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Semester Project , Internship , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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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
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: 2026-02-04 , 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
Depth Is All You Need
Reinforcement Learning (RL) has enabled legged robots to traverse rugged terrain [1] by utilizing egocentric elevation maps and raycasting. Unfortunately, this approach relies heavily on map fidelity, which deteriorates rapidly in highly unstructured environments such as forests. Consequently, policies must be designed to be robust to map noise, often at the cost of precision. In this work, we propose learning a policy that uses raw depth camera data[2] as exteroceptive input, aiming to achieve higher precision while maintaining the same level of robustness as map-based approaches.
Keywords
Legged Locomotion; Perceptive; Depth camera; Isaac Lab; Reinforcement Learning; Machine Learning; RSL
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Semester Project , Master Thesis
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Published since: 2026-02-03 , Earliest start: 2026-02-02
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Palma Emilio , Elanjimattathil Aravind
Topics Information, Computing and Communication Sciences , Behavioural and Cognitive Sciences
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
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Master Thesis , ETH Zurich (ETHZ)
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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
Investigating tensegrity systems for medical and surgical robotics
This project aims to investigate the potential of tensegrity systems for applications to medical and surgical robotics. The concept of tensegrity has been increasingly considered in civil engineering, for its many benefits ranging from high resistance-to-weight ratio, reconfigurability and adjustable mechanical properties. Yet its application to robotics is limited. Despite its many potential benefits in medical robotics, its use it this context remain to be investigated.
Keywords
Medical Robotics, Hardware Design, Simulation
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Studies on Mechatronics (ETHZ) , Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-01-30 , Earliest start: 2026-03-02
Applications limited to ETH Zurich , Wyss Translational Center Zurich , Empa , EPFL - Ecole Polytechnique Fédérale de Lausanne , Balgrist Campus
Organization Multiscale Robotics Lab
Hosts Boehler Quentin
Topics Medical and Health Sciences , Engineering and Technology
Acoustic-Sensing Based Soft Silicone Sensors for Motion Tracking
This project aims to develop a novel wearable sensing system using commercial speaker, microphone and flexible silicone tubes. By analyzing the time and frequency domain variations of acoustic signals propagating through the tube, the project explores how to detect structural deformations and cracks caused by body movements. The research involves circuit design, signal processing and mechanical design.
Keywords
Acoustic sensing, signal processing, 3D printing, circuit design.
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-01-28 , Earliest start: 2026-03-08
Organization Biomedical and Mobile Health Technology Lab
Hosts Li Yuanlong
Topics Engineering and Technology
Development of Programmable Magnetic Microrobots for Targeted Therapies
This Master's thesis (or semester project) will focus on engineering hydrogel properties to modulate the response of magnetic microrobots 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
Microrobots, hydrogels, crosslinking, dissolution, drug delivery
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Semester Project , Master Thesis
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Published since: 2026-01-28 , Earliest start: 2026-02-08 , Latest end: 2026-07-31
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
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Master Thesis
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Published since: 2026-01-27 , Earliest start: 2026-01-27
Organization Robotic Systems Lab
Hosts Zhang Chong , Schwarke Clemens
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;
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Internship , Master Thesis
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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
MULTIPHASE THREE-DIMENSIONAL CFD MODELLING OF FLUID INJECTION IN VERTEBRAL TRABECULAR BONE
Minimally invasive spinal procedures and emerging regenerative therapies rely on controlled injection of fluids into porous vertebral bone. The resulting flow and spreading are governed by the interaction between fluid rheology and trabecular bone permeability. This project aims to develop a 3D Darcy-scale multiphase framework integrating micro-CT–derived porosity and permeability to investigate injectability and spatial distribution of a cell-carrier fluid, and to identify the key parameters enabling targeted delivery within the vertebral body.
Keywords
CFD, biomechanics, Darcy, porous media, multiphase flow, vertebral bone, bone marrow, non-Newtonian fluids, Carreau model, permeability, micro-CT, upscaling, targeted delivery, injectability, Ansys Fluent
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Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-01-27 , Earliest start: 2026-02-15 , Latest end: 2026-03-15
Organization Bone Pathologies and Treatment
Hosts Rosano Elisa
Topics Engineering and Technology
SUPERELASTIC SHAPE MEMORY ALLOY WIRES FOR CURVED CUTTING PATHS IN VERTEBRAL BONE
Targeted injection of cell-based therapies for Modic changes requires minimally invasive access to both superior and inferior vertebral endplates through a pedicular approach. Conventional straight instruments provide limited reach within the vertebral body. This project explores pre-curved superelastic NiTi cutting wires deployed through a cannula, which recover their curvature in trabecular bone to enable controlled, distributed access. Analytical and finite element modelling, together with experimental testing in bone-mimicking materials, are used to assess feasibility, cutting performance, and mechanical stability.
Keywords
Superelastic NiTi, shape memory alloys, curved cutting tool, vertebral endplate, finite element analysis, biomechanics, bone-mimicking materials, guidewires, torquability, Ansys Mechanical
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Semester Project , Internship , ETH Zurich (ETHZ)
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Published since: 2026-01-27 , Earliest start: 2026-02-15 , Latest end: 2026-03-29
Organization Bone Pathologies and Treatment
Hosts Rosano Elisa
Topics Engineering and Technology
Pressure wave-driven antibubble dynamics for drug delivery to endothelial cells
The blood–brain barrier (BBB) represents a major obstacle for drug delivery to the central nervous system, as it consists of a highly selective membrane of tightly sealed endothelial cells. Ultrasound-mediated delivery using microbubbles has shown promising results for transient and localized BBB opening. Antibubbles, which are a class of acoustically active agents consisting of one or more liquid payload cores, has been shown to offer new opportunities for drug encapsulation and controlled release near endothelial cells, potentially improving delivery efficiency while reducing systemic exposure. Depending on excitation parameters and antibubble properties, acoustically-driven antibubbles show rich dynamics, which are believed to generate localized mechanical stresses capable of increasing cell membrane permeability. The varied dynamics also leads to different payload release regimes, including partial or complete release, facilitating intracellular drug transport. In this project, the student will investigate antibubble-mediated drug delivery using pressure waves generated by a commercial ultrasound research system and/or focused shock-wave sources (e.g. lithotripter-type pulses). Experiments will be performed in BBB-on-a-chip systems consisting of human cerebral endothelial cells grown on optically and acoustically transparent substrates, and the dynamics will be characterized by high-speed bright-field imaging and fluorescence microscopy. The overall objective is to establish quantitative links between pressure-wave parameters, antibubble dynamics, and biological delivery outcomes, providing mechanistic insight into antibubble-assisted BBB opening for drug delivery.
Keywords
Antibubbles, blood-brain barrier opening (BBB), High-speed and fluorescence imaging
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Published since: 2026-01-27 , Earliest start: 2026-02-15 , Latest end: 2026-05-31
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Organization Group Supponen
Hosts Anunay Anunay
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
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Master Thesis
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Published since: 2026-01-26 , Earliest start: 2026-02-01
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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
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Master Thesis
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Published since: 2026-01-26 , Earliest start: 2025-11-01 , Latest end: 2026-07-31
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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
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-01-26
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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
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-01-26
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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
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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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
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
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Internship , ETH Zurich (ETHZ)
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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
RAI Project - Sim2Real with UMV Robot using Meta RL
Reinforcement learning is a powerful tool for synthesizing robust locomotion strategies for both legged and wheeled robots. However, successful real-world deployment typically relies on extensive domain randomization and careful reward shaping, which are often time-consuming and difficult to generalize. In this project, we investigate meta–reinforcement learning as a potential alternative. The proposed approach aims to fine-tune (on-policy and on-line) policies trained in simulation using limited real-world data. The ultimate goal is to enable reliable real-world deployment of highly agile parkour skills on bike-like robotic platforms.
Keywords
sim2real, meta RL, continue learning, live-long learning
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Master Thesis
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Published since: 2026-01-20
Organization Robotic Systems Lab
Hosts Jenelten Fabian, Dr. , mirrazavi sina
Topics Engineering and Technology
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
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ETH Zurich (ETHZ)
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Published since: 2026-01-20 , Earliest start: 2026-02-01 , Latest end: 2026-12-31
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Organization Soft Robotics Lab
Hosts 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
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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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.
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reinforcement learning, perception, hydraulics, excavator, manipulation, industry
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Semester Project , Collaboration , Master Thesis , ETH Zurich (ETHZ)
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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 the manufacturing process. We are in the process of establishing a startup to bring this implant to market (https://www.venturekick.ch/medrich). We are seeking a Master’s student to join our team for a semester project or a Master’s thesis. The project involves mechanical design of the implant as well as the development of injection manufacturing equipment. We are looking for a student with a background in mechanical engineering who is motivated to continue the startup journey beyond the project, provided the collaboration is successful. Proficiency in German is required.
Keywords
Implant, orthopedic, mechanical design, equipment, injection mold, startup, medtec
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Published since: 2026-01-17 , Earliest start: 2026-01-26 , Latest end: 2026-06-01
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
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Semester Project , Bachelor Thesis , Master Thesis
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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
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Master Thesis
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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
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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
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
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-01-13 , Earliest start: 2026-02-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
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
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nanoscale 3d printing
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Master Thesis , ETH Zurich (ETHZ)
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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.
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Nanoscale 3d printing
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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.
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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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
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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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.
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Semester Project , Master Thesis
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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.
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Semester Project , Master Thesis
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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
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Master Thesis
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Published since: 2026-01-06 , Earliest start: 2026-01-01 , Latest end: 2026-08-31
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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.
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Keywords: Bacteria, RNA, droplets, microfluidic, high-throughput, hydrogel, gene expression, sequencing
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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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
On-chip Cryptographic Signatures
This project focuses on the design and evaluation of a signature circuit intended for secure integration into a CMOS chip. The student will explore different architectural interpretations, implement cryptographic primitives such as hashing and encryption, and assess the circuit’s performance and security. The goal is to identify the most effective design for real-world deployment in secure hardware.
Keywords
VLSI; Cryptography; Hardware Security; RTL Design; HDL; Key Management; Secure Systems; Cybersecurity;
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-01-05 , Earliest start: 2026-01-18
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Information, Computing and Communication Sciences , Engineering and Technology
Smuggling Drugs in Pumpkins: Integration of Host-Guest Assemblies into Hydrogels for Controlled Drug Delivery
Hydrogels are water-swollen polymer networks that have been increasingly explored as drug delivery systems. Their physicochemical properties can be precisely tailored, enabling spatial and temporal control over the release of the therapeutic molecules into the surrounding environment. One strategy to tune the release kinetics is by introducing drug–polymer interactions. Those can be of covalent or physical nature with varying binding affinities, typically slowing down the cargo diffusion and thus prolonging its release. In this work, drug–polymer interactions are integrated in hydrogels through the use of cucurbit[8]uril (CB[8]) host–guest complexation. We employ the pumpkin-shaped CB[8] to engineer a universal cross-linker that can encapsulate a variety of cargo molecules and release them in a controlled manner.
Keywords
Hydrogels, drug delivery, host-guest complex, biocompatibility, biomedicine, release studies
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Semester Project , Master Thesis
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Published since: 2026-01-05 , Earliest start: 2026-02-02 , Latest end: 2026-09-30
Organization Macromolecular Engineering Laboratory
Hosts Petelinsek Nika
Topics Engineering and Technology , Chemistry
Vision-Based Robot Learning for Excavation Tasks: From Lab-Scale Manipulators to Heavy Machinery
This project investigates autonomous control of heavy machinery through visual learning, using a lab-scale robot manipulator in a sand environment. We explore online learning approaches—including VLM-based reward learning, model-based RL (TD-MPC2), diffusion-based policies, and hybrid methods—to develop control policies for precise reaching and granular material manipulation tasks such as digging and scooping, relying solely on stereo camera observations. The long-term goal is to transfer successful methods to full-scale excavator control, improving safety and efficiency in construction.
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Semester Project , Master Thesis
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Published since: 2026-01-02 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne
Organization Robotic Systems Lab
Hosts Canales Claudio , Nan Fang
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: 2025-12-30 , 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
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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Semester Project , Bachelor Thesis , Master Thesis
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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
Optical Glucose Sensor for a Perfusion System
Organ perfusion is a method by which blood and other fluids are oxygenated and pumped through organs including livers, kidneys, lungs and hearts in order to provide the organ with oxygen and nutrients. Various organ perfusion technologies are already in clinical use to improve organ preservation or even treat organs prior to transplantation. Furthermore, ex-vivo perfusion offers the unique opportunity to study whole organs as an isolated system. Robust organ perfusion systems require close control of perfusate parameters such as pH, oxygenation, flow, pressure, glucose concentration etc. While some parameters such as flow and pressure can be monitored with reusable sensors, others like pH, oxygenation and glucose require disposable sensors that are expensive and can only be used once. Because of high costs of these sensors, most perfusion systems are either too simplified and don’t account for these parameters or are so expensive that only very few laboratories conduct research with them. Therefore, development of cheap sensors, that can be easily produced, is important to advance research in organ perfusion.
Keywords
Optics, Glucose, Perfusion, Human
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-12-19 , Earliest start: 2026-02-01 , Latest end: 2026-11-01
Organization Macromolecular Engineering Laboratory
Hosts Binz Jonas
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
Open-Source Physical AI for Bimanual Contact-Rich Tasks
The aim of this work is to advance fundamental problems in physical AI, including coordinated bimanual control, representation and exploitation of contact interactions, and sim-to-real transfer. The project involves commissioning two OpenArm robotic arms in a leader–follower teleoperation setup, followed by the development and evaluation of learning-based bimanual control strategies. You will collect and generate manipulation data both through teleoperation and in simulated environments, and train coordinated bimanual control policies for contact-rich tasks using NVIDIA Isaac Lab or related frameworks. The project provides substantial freedom, allowing you to explore ideas that align with your personal interests. Foreseen applications include dexterous manipulation in manufacturing, household environments, or assistive robotics. Contributions to the OpenArm project are strongly encouraged.
Keywords
AI, Machine Learning, Robotics
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Internship , Bachelor Thesis , Master Thesis
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Published since: 2025-12-18 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization pd|z Product Development Group Zurich
Hosts Gimeno Lucas
Topics 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;
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Semester Project , Master Thesis
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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
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Master Thesis
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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
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Semester Project , Bachelor Thesis , Master Thesis
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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
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Semester Project , Master Thesis
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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
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Semester Project , Internship , Lab Practice , Bachelor Thesis , Master Thesis
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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
Propagation-Based Phase-Contrast Imaging with Cold Neutrons: Towards Tomographic Imaging of Weakly Absorbing Metallic Objects
Neutron imaging provides unique opportunity for studying technologically and biologically relevant materials as a complementary modality to other techniques. The increased interest in neutron imaging relies on their strong penetration into metallic materials, their sensitivity to light elements, and the possibility of manipulating contrast via isotope substitution. Among the imaging approaches, propagation based phase-contrast imaging recently showed a promising extension to conventional absorption transmission imaging. This method, well established with synchrotron X-ray radiation, relies on a (partially) coherent beam and carefully controlled experimental conditions to convert phase variations of the incoming wavefront into quantitative measurements. Note that this opportunity is for the Institut Laue-Langevin in Grenoble, France.
Keywords
phase-contrast imaging; synchrotron radiation; imaging techniques
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Published since: 2025-12-12 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization Group Supponen
Hosts Brewer Cameron
Topics Engineering and Technology
Studying the Stretch Signature of Skin with a Novel Multiplexed Imaging Approach
The skin that wraps our body is constantly subjected to stretch by body movements. To study the stretch signature of the skin, we tested murine stretched skin samples with microindentation and multiplexed imaging. Imaging mass cytometry is a powerful imaging technique where up to 40 markers can be visualized simultaneously. For the first time, this approach allows us to see the microstructure of the skin and with this, study the effects of stretch. In this project we will identify and quantify structural skin properties that are affected by skin stretch. Semi-automated image analysis tools will then be implemented to quantify the skin microstructure under different stretch conditions. These findings we greatly enhance our knowledge of skin, which is needed to optimize treatments like skin expanders.
Keywords
Skin Biomechanics, Imaging Mass Cytometry (IMC), Image Analysis
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Semester Project , Internship , Bachelor Thesis
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Published since: 2025-12-12 , Earliest start: 2025-12-15 , Latest end: 2026-04-30
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
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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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
Propose Your Own Robotics Project
This project invites you to step into the role of an innovator, encouraging you to identify challenges you are passionate about within the field of robotics. Rather than working on predefined problems, you will have the freedom to propose your own project ideas, address real-world issues, or explore cutting-edge topics. This project allows you to define your own research journey.
Keywords
Robotics, Research
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-12-09 , Earliest start: 2025-01-27
Organization Robotic Systems Lab
Hosts Schwarke Clemens , Bjelonic Filip , Klemm Victor
Topics Information, Computing and Communication Sciences
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: 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
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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
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Semester Project , Bachelor Thesis , Master Thesis
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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
Software Development: Enabling In Vitro Neuroscience Research
This project focuses on developing software for advanced neural interfaces used in in vitro studies. These interfaces enable precise exploration of neural activity, providing critical insights into neuronal dynamics, drug interactions, and neurological disorders. The project involves creating and optimizing software for data acquisition, analysis, and visualization, which directly enhances the usability and impact of these tools in research and healthcare applications. Ideal candidates will possess strong programming skills in Python. This project is available as Master thesis or semester project.
Keywords
Software development; Neural Interfaces; Neuroscience; Python; Biomedical Research; Neuroengineering; Neurotechnology.
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Semester Project , Internship , Master Thesis
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Published since: 2025-12-08 , Earliest start: 2025-12-14
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Information, Computing and Communication Sciences
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.
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Master Thesis
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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
Generative Environment Design: Using LLMs to bridge Sim-to-Real Gap for Locomotion
This project proposes an LLM-driven framework to automate the design of complex simulation environments for robust legged locomotion. By translating natural language descriptions directly into low-level physics parameters, we replace tedious manual tuning with semantic reasoning. The study focuses on training adaptive policies for quadrupedal or wheeled-legged robots, aiming to achieve robust performance across diverse, language-generated terrains.
Keywords
Large Language Models, Locomotion, Sim-to-Real, Domain Randomization, Physics Simulation, Reinforcement Learning.
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-12-03
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Palma Emilio , Roth Pascal
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Physics
Evaluation of muscle fatigue on paraspinal muscle activation patterns and spinal loads in patients with lumbar spinal stenosis
Lumbar spinal stenosis (LSS) is a condition characterized by a narrowing of the spinal canal, which can lead to compression of the lumbosacral nerve roots and/or the cauda equina. Clinical observations show that patients often adopt alternative postures and movement strategies to enlarge the spinal canal and relieve pain. These compensations likely require elevated paraspinal muscle activation may increase spinal segmental loads. Muscle fatigue may further increase compensatory posture, joint load and pain representing a vicious cycle. However, the specific implications of muscle fatigue on spinal loading in individuals with LSS remains insufficiently understood. The objective of this master thesis is to investigate how trunk muscle fatigue influences muscle recruitment patterns and spinal segmental loads in individuals with LSS. For this purpose, clinical data from 120+ patients with LSS - collected before and after a fatigue protocol - will be used to drive dynamic simulations of a full-body musculoskeletal model in the AnyBody Modeling System software.
Keywords
Spine biomechanics, musculoskeletal modeling, fatigue, trunk muscles
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-12-02 , Earliest start: 2026-02-01 , Latest end: 2026-07-31
Organization Musculoskeletal Biomechanics
Hosts Caimi Alice
Topics 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.
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Keywords: Reinforcement learning, task planning
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Semester Project , Master Thesis
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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
Foundation models for generalizable construction machine automation
Autonomous operation of heavy construction machinery promises major gains in safety, efficiency, and scalability for the multi-trillion-dollar construction industry. Excavators present a unique challenge, combining the navigation demands of autonomous driving with the precision of robotic manipulation in unstructured, dynamic environments. This project explores Vision-Language-Action (VLA) and diffusion-based policy learning to develop generalizable excavation policies. Leveraging large-scale demonstration data naturally collected during human operation, we aim to train multimodal control models capable of adapting across sites, lighting conditions, and machine types. The approach will be evaluated through simulation benchmarks and, if possible, real-world trials, advancing the path toward scalable, generalist autonomy for robotic construction.
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Published since: 2025-12-01 , Earliest start: 2025-08-31 , Latest end: 2026-03-31
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne
Organization Robotic Systems Lab
Hosts Nan Fang , Zhang Weixuan
Topics Engineering and Technology
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
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Semester Project , Master Thesis
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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
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Semester Project , Master Thesis
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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
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Semester Project , Master Thesis
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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
Data-Driven Health Indicators and RUL Forecasting for Mechanical Systems
This thesis explores data-driven methods for assessing the health and forecasting the remaining useful life (RUL) of complex mechanical systems using benchmark datasets such as NASA C-MAPSS, N-C-MAPSS, FEMTO/PRONOSTIA and XJTU-SY. The student will develop health indicators by modelling nominal system behaviour with recurrent and operator-learning architectures, and use these indicators to track degradation over time. Building on this, the project involves training uncertainty-aware RUL models and evaluating their calibration, interpretability, and suitability for deployment. The outcome is an integrated predictive-maintenance workflow combining health assessment, degradation tracking, and reliable RUL forecasting.
Keywords
predictive maintenance, remaining useful life, neural operators, condition monitoring, degradation modelling
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-11-27 , Earliest start: 2026-01-15 , Latest end: 2026-08-31
Organization Structural Mechanics (Prof. Chatzi)
Hosts Chatzi Eleni
Topics Engineering and Technology
Hybrid Modeling for Twinning and Structural Health Monitoring in Engineered Systems
Ensuring the safe, efficient, and resilient operation of structural assets throughout their life cycle relies on the integration of sensing data with computational models that are both rapid to evaluate and reliable. This hybrid paradigm is particularly vital in the operation and maintenance of structures that operate under high variability and may experience damage or extreme events that push their response far beyond design assumptions. In this context, this thesis will focus on deriving actionable and flexible hybrid representations and demonstrate the potential they offer towards digital twinning offer for the optimized operation & maintenance of real-life structural systems.
Keywords
Structural Health Monitoring; Digital Twins; Machine Learning; Surrogate Modelling; Data Assimilation; Inverse Problems;
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-11-27 , Earliest start: 2026-02-01 , Latest end: 2026-08-31
Organization Structural Mechanics (Prof. Chatzi)
Hosts Vlachas Konstantinos , Chatzi Eleni
Topics Engineering and Technology
Augmented Reality-assisted Finite Element Analysis
Augmented reality (AR) has revolutionized the video game industry via developing interactive, three-dimensional visualizations of physical processes or life-like environments. Building upon existing tools and previous project work, the aim of this thesis is twofold: First, to develop a visualization pipeline that allows users to experience and assess Finite Element Analysis results in an immersive, holographic environment. Second, to enable user interaction with the modeling software via the AR environment, thus enabling the user to calibrate the underlying model or request additional parametric analyses.
Keywords
Augmented Reality; Structural Dynamics; Finite Element Analysis;
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Semester Project , ETH Zurich (ETHZ)
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Published since: 2025-11-27 , Earliest start: 2026-02-01 , Latest end: 2026-08-31
Organization Structural Mechanics (Prof. Chatzi)
Hosts Chatzi Eleni , Vlachas Konstantinos
Topics Engineering and Technology
Engineering of Gastroretentive Drug Delivery systems
Polymer-based drug delivery systems play a central role in shaping modern therapeutics, offering controlled release behavior and improved patient compliance. Yet traditional formulation development still relies largely on resource-intensive and time-consuming iterative experimentation to balance the complex interactions between polymer composition, processing parameters, and drug release behavior. This project aim to solve these limitations by developing a machine learning (ML) algorithm to accelerate the rational design of polymer formulations tailored to specific release profiles. By integrating active ingredient’s encapsulation studies, rheological and mechanical analyses, and detailed release-kinetic profiling, the work aims to build a comprehensive understanding of how formulation variables govern functional performance. The resulting dataset will later support data-driven modelling, enabling faster identification of promising compositions. This approach not only streamlines pharmaceutical development but also advances sustainable practices by minimizing material waste, positioning data-driven formulation as a cornerstone of next-generation smart therapeutics. This project focuses on the optimization and characterization of a novel gastroretentive drug delivery system (GARD) loaded with a selection of active compounds from a pre-established library of molecules. Comprehensive chemical and mechanical analyses will be conducted, encompassing encapsulation efficiency, rheological behavior, drug release kinetics, and the stability of encapsulated active pharmaceutical ingredients (APIs). A curated dataset of API-loaded polymer formulations and their associated properties will be later used to train predictive models, enabling the identification of optimal formulations with tailored release profiles.
Keywords
Drug Delivery Polymer formulation Advanced manufacturing Machine learning
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Published since: 2025-11-26 , Earliest start: 2025-12-01 , Latest end: 2026-12-31
Applications limited to Balgrist Campus , EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , Fernfachhochschule , Zurich University of Applied Sciences , University of Zurich , University of Basel , University of Berne , Institute for Research in Biomedicine , Hochschulmedizin Zürich , Empa
Organization Macromolecular Engineering Laboratory
Hosts Guzzi Elia
Topics Medical and Health Sciences , Engineering and Technology , Chemistry
Exploring Applications of Physical Computing to Condition and Structural Health Monitoring
This thesis explores the emerging field of physical computing for condition and structural health monitoring. Recent advances in mechanical metamaterials and MEMS devices have enabled physical signal processing, where a device’s intrinsic dynamics—such as resonance responses—are used to classify complex acoustic inputs with near-zero power consumption. Building on this concept, the project investigates how acoustic emission (AE) signals from damage in composite structures can be identified and classified using MEMS-based physical computing architectures. The student will analyze real AE datasets, extract key signal features, and develop an in-silico training and validation environment for a mechanical classifier. Ultimately, this work contributes toward low-cost “smart-dust” devices capable of passively monitoring structural integrity when remotely interrogated.
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-11-26 , Earliest start: 2026-02-01 , Latest end: 2026-08-31
Organization Structural Mechanics (Prof. Chatzi)
Hosts Chatzi Eleni
Topics Engineering and Technology
Spatial Proteomics of Mechanically-Driven Bone Healing
Bone healing is profoundly influenced by its mechanical environment. Advances in spatial proteomics now allow us to map protein expression within intact tissue and directly relate it to local biomechanical cues. The Laboratory for Bone Biomechanics is developing a new line of research within spatial mechanomics (DOI: 10.1126/sciadv.adp8496), integrating spatially resolved proteomic data with in silico models of the mechanical environment at fracture sites. This approach enables us to investigate, at cellular resolution, how mechanical forces shape protein-level signalling during bone repair.
Keywords
Bone, Mechanobiology, Spatial Proteomics, Protein Expression, Aging, Sex Differences, Mechanical Loading, Finite Element Modelling, Image Analysis
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2025-11-23 , Earliest start: 2025-12-01 , Latest end: 2026-12-31
Organization Müller Group / Laboratory for Bone Biomechanics
Hosts Mathavan Neashan
Topics Medical and Health Sciences , Engineering and Technology , Biology