Projects & Theses
Below you find a collection of BSc and MSc projects and theses that can be carried out within the MaP community.
PCB Design for in Vitro Neural Interfaces
This project centers on designing and developing high-speed printed circuit boards (PCBs) for advanced CMOS microelectrode arrays (MEAs) used in in vitro neuroscience research. These PCBs 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 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: 2025-10-30 , Earliest start: 2025-10-31
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Engineering and Technology
Hardware Security: VLSI Cryptographic Device Development
This project focuses on the design and implementation of hardware-based cryptographic systems using VLSI methodologies. The project involves RTL design, key management architecture, and system-level integration of secure modules. Candidates will contribute to the development of a secure hardware platform for cryptographic operations, with applications in secure communications, embedded systems, and IoT.
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: 2025-10-30 , Earliest start: 2025-10-31
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Information, Computing and Communication Sciences , Engineering and Technology
Spatially-Enhanced Linear-Attention Transformer for End-to-End Navigation
Transformer architectures have proven highly effective in sequence modelling, but their standard self-attention mechanism suffers from quadratic complexity in sequence length. The work by Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention (Katharopoulos et al., 2020) shows how self-attention can be reformulated as kernel feature maps with a linear complexity implementation. Separately, in navigation and robotics, end-to-end learning of navigation policies (e.g., via reinforcement learning) has shown strong promise; however, many architectures (such as standard RNNs) struggle to build spatial memory — that is, integrating observations from different viewpoints into a coherent spatial representation. For example, the recent work Spatially‑Enhanced Recurrent Memory for Long‑Range Mapless Navigation via End‑to‑End Reinforcement Learning (Yang et al., 2025) proposes Spatially-Enhanced Recurrent Units (SRUs) to address this. This motivates the question: can we combine the efficiency and scalability of linear-attention transformers with a spatial-enhancement mechanism tailored for navigation, thereby achieving end-to-end navigation with long-term spatial memory and efficient inference?
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-10-28 , Earliest start: 2025-11-15 , Latest end: 2025-12-15
Organization Robotic Systems Lab
Hosts Yang Fan
Topics Information, Computing and Communication Sciences
Microbubble characterization through acoustic radiation force
Acoustically driven microbubbles could unlock local drug delivery in a clinical setting. This therapy requires a precise characterization of the microbubble volumetric oscillations. This project will investigate an alternative method to characterize the volumetric oscillations indirectly through the acoustic radiation force. For this, the student is expected to conduct experiments and compare them with the predictions from theoretical models.
Keywords
Biomedical, drug delivery, ultrasound contrast agents, physics, experimental
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Semester Project , Master Thesis
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Published since: 2025-10-28 , Earliest start: 2025-12-01
Organization Group Supponen
Hosts Collado Gonzalo
Topics Engineering and Technology , Physics
Advanced Robotic In-Situ Tissue Repair
The future of advanced tissue repair lies in precise, minimally invasive techniques that enhance patient outcomes while reducing recovery time. This innovative project aims to revolutionize in-situ tissue repair by designing and implementing a cutting-edge robotic tool, purpose-built for the medical frontier. Combining state-of-the-art robotics, real-time feedback systems, and versatile functionalities, this research will address the complex challenges of advanced tissue repair with a focus on precision and patient safety.
Keywords
Robotics, Pneumatics, Embedded Systems, Control Engineering, Biomechatronics, Biomedical Materials, CAD, 3D Printing, Python, ROS2, Microfabrication, Fluid Dynamics, Soft Robotics Pneumatics, Control Systems, Embedded Engineering, Soft Robotics, Biomedical Devices, Mechatronics, Actuator Design, COMSOL, MATLAB, STM32
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-10-21 , Earliest start: 2025-12-01
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , Empa , University of Zurich
Organization Nanoparticle Systems Engineering Laboratory
Hosts Balta Nisa
Topics Information, Computing and Communication Sciences , Engineering and Technology
Hand Gesture Recognition Using High-Density Surface Electromyography (HD-sEMG
The project aims to develop machine learning models for real-time hand gesture recognition using high-density surface electromyography (HD-sEMG) signals. This research focuses on improving neuroprosthetic control and rehabilitation by accurately decoding hand movements from HD-sEMG data.
Keywords
HD-sEMG, neuroprosthetics, biosignal monitoring, machine learning, hand gesture recognition, rehabilitation
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ETH Zurich (ETHZ)
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Published since: 2025-10-20
Organization Biomedical and Mobile Health Technology Lab
Hosts Qi Shuaixin
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Gait and Posture Analysis Using Multimodal Data from Smart Walkers
The project aims to develop machine learning models to analyze gait and posture using multimodal data collected from participants using a robotic walker equipped with multiple cameras and inertial sensors. This research focuses on detecting abnormalities in gait patterns and postural control, contributing to the development of rehabilitation and assistive technologies.
Keywords
gait analysis, posture monitoring, smart walker, motion capture, biomechanics, sensor fusion, rehabilitation, inertial sensors
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ETH Zurich (ETHZ)
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Published since: 2025-10-20
Organization Biomedical and Mobile Health Technology Lab
Hosts Qi Shuaixin
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Detection of Cardiovascular Abnormalities from Paper ECG Images Using Deep Learning
This project aims to develop a deep learning algorithm to detect and classify cardiovascular abnormalities directly from paper-based or image-scanned ECGs. By bypassing the need for full digitization, the objective is to enable rapid diagnosis and improve access to cardiovascular healthcare, particularly in resource-limited settings.
Keywords
ECG, cardiovascular disease, image classification, deep learning, global health, medical imaging, underserved populations
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ETH Zurich (ETHZ)
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Published since: 2025-10-20
Organization Biomedical and Mobile Health Technology Lab
Hosts Qi Shuaixin
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Prevention and Treatment of Chronic Intestinal Leakages – Enteroatmospheric Fistulas
Our project aims to develop a novel therapeutic and preventive approach for Enteroatmospheric Fistulas. A first functional prototype has already been developed, and now, we are excited to work with you and advance it further.
Keywords
Surgery, Surgical Technology, Innovation, Materials Science, 3d printing.
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Semester Project , Internship , Master Thesis
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Published since: 2025-10-20 , Earliest start: 2025-11-01 , Latest end: 2027-09-30
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , University of Zurich , Wyss Translational Center Zurich , University of Berne , University of Geneva , University of Basel
Organization Nanoparticle Systems Engineering Laboratory
Hosts Herrmann Inge
Topics Engineering and Technology
Hardware / software development in medtech startup (project / thesis)
diaxxo, a start-up from ETH Zürich, is transforming molecular diagnostics with an innovative Point-of-Care Polymerase Chain Reaction (PCR) device. Designed to accelerate and democratize access to diagnostic testing, our cutting-edge technology can be used across various fields, from human diagnostics to vet and food testing. Our products are also tailored for use in developing countries and resource-limited settings, aiming to bring reliable diagnostics to every corner of the globe. The company offers several projects and thesis opportunities focusing on interfacing computer and camera systems (e.g. controlling Camera Pi from ESP microcontrollers, and integrating hardware and software components to address design and automation challenges.
Keywords
Point-of-Care PCR, Molecular Diagnostics, Embedded Systems, Arducam SPI, Camera Pi ESP Microcontroller, Hardware-Software Integration, Design and Automation Challenges
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2025-10-15 , Earliest start: 2024-07-01 , Latest end: 2025-06-30
Organization Functional Materials Laboratory
Hosts Gregorini Michele
Topics Information, Computing and Communication Sciences , Engineering and Technology
Smart Microcapsules for Biomedical Advances
This Master's thesis/semester project focuses on the microfluidic fabrication of microcapsules with multi-environmental responsiveness. The aim is to develop microcapsule-based microrobots capable of adapting to various environmental cues. We envision that these microrobots will be used for complex tasks in biomedical applications.
Keywords
Microfluidics, Microcapsules, Microrobotics, Responsive Polymers, Biomedical Engineering
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Semester Project , Internship , Master Thesis , Student Assistant / HiWi , ETH Zurich (ETHZ)
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Published since: 2025-10-14 , Earliest start: 2026-01-19
Organization Multiscale Robotics Lab
Hosts Hu Minghan
Topics Medical and Health Sciences , Engineering and Technology , Chemistry
Intelligent Micromachines Made from Droplet-Based Factory
We invite applications for a Master's thesis / semester project that focuses on the fabrication of microrobots with custom shapes. Using our developed droplet printing technique, this project will explore how different microrobot shapes, created by different magnetic fields and materials, influence their control behaviors in blood vessels. This research aims to advance biomedical technologies, particularly in targeted drug delivery and minimally invasive procedures.
Keywords
Microrobotics, 4D Printing, Soft Materials, Biomedical Devices
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Semester Project , Master Thesis , Student Assistant / HiWi , ETH Zurich (ETHZ)
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Published since: 2025-10-14 , Earliest start: 2026-02-02
Organization Multiscale Robotics Lab
Hosts Hu Minghan
Topics Engineering and Technology , Chemistry
Wireless Motion and Health Monitoring with Triboelectric Nanogenerators using a Custom Readout Circuit
This project aims to design and realize a custom single-PCB wireless readout circuit optimized for triboelectric nanogenerators (TENGs) for motion and health monitoring. Unlike previous designs that relied on assembling multiple commercial off-the-shelf PCBs, this project will integrate the functionalities of signal conditioning, energy harvesting, and wireless data transmission onto one compact, low-power circuit board). This PCB will be used to facilitate wireless joint angle analysis and fatigue monitoring during repetitive human movements using machine learning and deep learning.
Keywords
TENG, energy harvesting, wireless circuits, PCB design, low-power electronics, sensors, movement, mobile health, wearables
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Semester Project , Master Thesis
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Published since: 2025-10-14 , Earliest start: 2025-10-01 , Latest end: 2026-08-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Otesteanu Corin, Dr
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: 2025-10-14 , 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
Monitoring in-vitro neural network dynamics using microelectrode arrays
Join our interdisciplinary research team to explore the fascinating world of neuronal networks in vitro. These master projects focus on culturing neurons on CMOS-based microelectrode arrays (MEAs) to study their electrophysiological properties. The exact project scope will be tailored to your interests and background, offering a unique opportunity to contribute to cutting-edge neuroscience and bioengineering research.
Keywords
Neuroscience, Cell Culture, CMOS MEA, Electrophysiology, In Vitro Models, Neural Networks, Bioengineering, Neurotechnology
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Semester Project , Internship , Lab Practice , Master Thesis
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Published since: 2025-10-13 , Earliest start: 2025-06-15
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Medical and Health Sciences , Engineering and Technology , Biology
Microelectronic circuit design for neural interfaces in 0.18um CMOS technology
This project is about the development of integrated circuits to study neurons and neural networks, and may comprise different parts of the design including analog and/or digital microelectronics, PCB design, signal processing and programming.
Keywords
Microelectronics, CMOS, circuit design, electronics, PCB, signal processing, neural interface.
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2025-10-13 , Earliest start: 2022-01-03
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Engineering and Technology
Learning-based object orientation prediction for handovers
Humans are exceptional at handovers. Besides timing and spatial precision, they also have a high-level understanding of how the other person wants to use the object that is handed over. This information is needed to hand over an object, such that it can be used directly for a specific task. While robots can reason about grasp affordances, the integration of this information with perception and control is missing.
Keywords
Robot-Human Handover, Human-Robot-Interaction, Mobile Manipulation, Robotics
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Semester Project , Master Thesis
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Published since: 2025-10-13 , Earliest start: 2025-02-01 , Latest end: 2025-12-31
Organization Robotic Systems Lab
Hosts Scheidemann Carmen , Tulbure Andreea
Topics Information, Computing and Communication Sciences , Engineering and Technology
Microfabrication and characterization of microelectrodes for neural interfaces
The focus of this project is on the fabrication of microelectrodes for advanced neural interfaces in a cutting-edge cleanroom environment. Our research aims to develop high-resolution neural probes utilizing state-of-the-art microfabrication techniques.
Keywords
Microfabrication; Cleanroom; Neural Interfaces; Microelectrode Arrays; Biomedical Devices; Nanotechnology; Electrochemical Deposition; Neurotechnology; Semiconductor Processing; Bioengineering.
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Semester Project , Master Thesis
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Published since: 2025-10-13 , Earliest start: 2023-12-01
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Engineering and Technology
HandoverNarrate: Language-Guided Task-Aware Motion Planning for Handovers with Legged Manipulators
This project addresses the challenge of task-oriented human-robot handovers, where a robot must transfer objects in a manner that directly facilitates the human’s next action. In our prior work, we demonstrated that robots can present objects appropriately for immediate human use by leveraging large language models (LLMs) to reason about task context. However, integrating task-specific physical constraints—such as ensuring a full mug remains upright during transport—into the motion planning process remains unsolved. In this project, we aim to extend our existing motion planning framework for legged manipulators by incorporating such constraints. We propose using LLMs to dynamically generate task-aware constraint formulations based on high-level task descriptions and object states. These constraints will then be used to adjust the cost function of the model predictive controller in real time, enabling more context-sensitive and physically appropriate handovers.
Keywords
language-guided motion planning, legged robotics, human-robot collaboration
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Semester Project , Bachelor Thesis
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Published since: 2025-10-13
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Tulbure Andreea
Topics Information, Computing and Communication Sciences
Development of a High-Throughput Screening Platform Using Genome Editing, Human Neurons, and High-Density Microelectrode Array Recordings
Genetic screens have been used to probe how autism spectrum disorder (ASD)–associated mutations affect neurogenesis and differentiation. Yet, despite substantial effort, it remains difficult to disentangle cell-autonomous from network-level dysfunctions, and to relate their interplay to ASD’s diverse clinical phenotypes. This project aims to develop a multi-modal, high-throughput loss-of-function screening platform to study ASD-related mutations in human neurons. The methodology will enable perturbation screens and the analysis of how induced genetic alterations shape single-neuron and network-level electrophysiological features. To assess cell-type–specific perturbation effects in excitatory and inhibitory neurons, we will apply transcription-factor (TF)-based forward programming of human induced pluripotent stem cells (iPSCs) combined with combinatorial morphogen treatments. High-density microelectrode array (HD-MEA) recordings coupled to immunohistochemistry and single-cell gene expression analysis will provide an integrated view of how gene knock-outs influence neuronal development and function.
Keywords
Human induced pluripotent stem cells, CRISPR/Cas9 genome editing, neuronal networks, high-density microelectrode array electrophysiology
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Semester Project , Master Thesis
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Published since: 2025-10-10 , Earliest start: 2025-11-01 , Latest end: 2026-09-30
Organization Bio Engineering Laboratory
Hosts Schröter Manuel
Topics Medical and Health Sciences
Smart Stretchable Piezoelectric Hydrogels: From Joint Motion to Bioelectric Stimulation
We are developing an intelligent composite material composed of piezoelectric nanoparticles embedded in a stretchable hydrogel matrix with a kirigami-inspired design. Mechanical deformation activates the piezoelectric nanoparticles, generating bioelectric signals (like Pikachu) that can stimulate cell differentiation. This self-powered system shows promise for biomedical applications.
Keywords
Flexible electrodes optimization, piezoelectric mesh, biomedical applications.
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Semester Project , Master Thesis
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Published since: 2025-10-09 , Earliest start: 2025-09-01 , Latest end: 2026-09-01
Organization Multiscale Robotics Lab
Hosts Chen Huimin
Topics Engineering and Technology
Development and validation of a 2D-3D registration tool
This project aims to develop a pipeline to register 2D histological images to 3D micro-CT images.
Keywords
computational, mechanics, modelling, micro-CT, mouse, vertebra, Python, in-vivo, medical engineering, biomedical engineering, image, processing, registration, analysis, 2D-3D, multi-modal, correlative imaging, data science, segmentation, deep learning
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2025-10-08 , Earliest start: 2022-06-01 , Latest end: 2023-12-31
Organization Müller Group / Laboratory for Bone Biomechanics
Hosts Correia Marques Francisco
Topics Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Biology
Student internship - Engineering the Microstructure of Bacterial Cellulose for Sustainable Applications
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
Sustainability - Hydrogel - Mechanical testing - Microscopy
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Semester Project , Internship , Bachelor Thesis , Master Thesis , Master Project (D-MATL)
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Published since: 2025-10-07 , Earliest start: 2025-10-15 , Latest end: 2026-04-30
Organization Complex Materials
Hosts Ansart Elise
Topics Engineering and Technology
How Mechanical Forces Shape Cell Fate – and the Future of Regenerative Medicine
Project Summary We’re developing a powerful new in vitro model to untangle the complex mechanical cues—osmotic pressure and substrate stiffness—that skin cells experience every day. These signals are deeply intertwined in the body, but we’re building a system to decouple and precisely control them, for the first time. Why? Because understanding how cells respond to these forces is crucial for engineering functional tissues, guiding organ regeneration, and tackling mechanobiology-driven diseases like fibrosis.
Keywords
Key words: mechanical stresses, cell behavior, fibroblasts, immunostaining.
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Master Thesis
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Published since: 2025-10-07 , Earliest start: 2026-02-01 , Latest end: 2026-10-01
Organization Macromolecular Engineering Laboratory
Hosts Cuni Filippo
Topics Medical and Health Sciences , Engineering and Technology , Biology
Biomolecular condensates (machine learning and molecular simulation)
Biomolecular condensates are non-membrane-bound compartments formed in the cell through liquid-liquid phase separation. This phase separation is often driven by interactions involving (partially) disordered proteins, which are frequently considered "undruggable." Many of these proteins have been associated with diseases such as ALS, Parkinson's disease, Alzheimer's disease, and various cancer types. As a result, biomolecular condensates represent an attractive target to study, with potential for developing new therapeutic approaches. The goal of this computational Master's thesis is the application of machine learning and molecular simulation in the area of disordered proteins and biomolecular condensates.
Keywords
Biomolecular condensates, disordered proteins, machine learning, molecular simulation
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Master Thesis
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Published since: 2025-10-06 , Earliest start: 2025-11-01
Organization Biochemical Engineering (aP)
Hosts Schneider Timo
Topics Engineering and Technology , Chemistry
How to Touch: Exploring Tactile Representations for Reinforcement Learning
Developing and benchmarking tactile representations for dexterous manipulation tasks using reinforcement learning.
Keywords
Reinforcement Learning, Dexterous Manipulation, Tactile Sensing
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-10-05 , Earliest start: 2025-11-01 , Latest end: 2026-06-01
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Bhardwaj Arjun , Zurbrügg René
Topics Information, Computing and Communication Sciences
Integrating Robotic Hands with Embodied Intelligence for Industrial Mobile Manipulators
This thesis explores the integration of our newly developed robotic hands with embodied intelligence on a state-of-the-art industrial bi-manual mobile manipulator. The objective is to address typical warehouse and logistics scenarios by enabling generalizable, flexible manipulation skills that go beyond task-specific programming.
Keywords
Robotics, Bi-manual manipulation, Mobile manipulators, Embodied intelligence, Warehouse automation, Robotic hands
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Master Thesis
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Published since: 2025-10-01 , Earliest start: 2025-10-13 , Latest end: 2026-04-30
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , University of Zurich , Wyss Translational Center Zurich
Organization Soft Robotics Lab
Hosts Blöchlinger Marc , Katzschmann Robert, Prof. Dr.
Topics Information, Computing and Communication Sciences , Engineering and Technology
Deep Learning of Residual Physics For Soft Robot Simulation
Incorporating state-of-the-art deep learning approaches to augment conventional soft robotic simulations for a fast, accurate and useful simulation for real soft robots.
Keywords
Soft Robotics, Machine Learning, Physical Modeling, Simulation
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Semester Project , Master Thesis
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Published since: 2025-09-30 , Earliest start: 2025-03-01 , Latest end: 2026-03-01
Organization Soft Robotics Lab
Hosts Michelis Mike , Katzschmann Robert, Prof. Dr.
Topics Information, Computing and Communication Sciences , Engineering and Technology
Robotic Holder for Endoscopic Tools in Orthopedic Surgery
Robotic assistance has revolutionized minimally invasive surgery by enhancing precision, dexterity, and patient outcomes. While endoscopic robots, such as the da Vinci system, are commonly used for soft-tissue procedures, orthopedic applications remain limited to rigid platforms for positioning and drilling, lacking endoscopic access and haptic teleoperation capabilities. To address this gap, we envision a robotic system for endoscopic surgery consisting of two holders: one for the endoscope and one for surgical tools. Due to the complexity of the overall system, this master’s thesis focuses on the development of the tool holder. The holder will be designed to accommodate commonly used endoscopic tools: a grasper and dissector. It will function as the end-effector of a robotic arm, allowing precise positioning and manipulation of the tools. The complete system should be implemented in ROS 2 for control and simulation. The system performances will be evaluated on an experimental bench and demonstrated through phantom and Sawbones surgical scenarios. This project is conducted at Balgrist under the supervision of Prof. Dr. Fürnstahl.
Keywords
Robotics ; Endoscopic surgery ; Haptics ; Teleoperation ; Mechanical design ; ROS2 ; Robotic control ; Simulation ; CAD design ; Manufacturing ; Experimental design and validation
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Master Thesis
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Published since: 2025-09-30 , Earliest start: 2025-09-30
Organization Multiscale Robotics Lab
Hosts Gantenbein Valentin
Topics Medical and Health Sciences , Engineering and Technology
Experimental Visualization of Phase Shift in Focused Ultrasound
Keywords
Ultrasound, Phase Shift, Ultrasound Transducers, Acoustics, Wave Physics
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Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-09-29 , Earliest start: 2025-09-30 , Latest end: 2026-09-30
Organization Group Supponen
Hosts Fiorini Samuele
Topics Mathematical Sciences , Engineering and Technology , Physics
Multi-Agent Local Collision Avoidance on Rough Terrain
Collaborative object transportation is a fundamental aspect of human interaction, particularly in scenarios where a single individual cannot manipulate an object due to its size or weight. Such tasks are common in practical domains, including construction sites and warehouse operations, where coordinated motion and spatial awareness are required to avoid collisions with environmental obstacles.
Keywords
Multi-Agent, Collision Avoidance, Rough Terrain
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Master Thesis
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Published since: 2025-09-25 , Earliest start: 2025-10-06
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Bray Francesca
Topics Engineering and Technology
Acoustic signatures associated with ADV – Influence of drop size and concentration
Acoustic droplet vaporization (ADV) is the phase-change process of superheated micron- and sub-micron-sized droplets into microbubbles under the application of high-frequency, high-amplitude ultrasound. Both optical and acoustic methods have been used to estimate the vaporization threshold, as during ADV the droplets grow multiple times their initial radius with the phase change emitting acoustic waves. However, very little research exists to correlate the optically observed dynamics with their respective acoustic signatures. To address these issues, this project aims to build upon previous work to combine optical and acoustic measurements and correlate the visualized ADV dynamics with the associated acoustic emissions. The goal is to measure the vaporization threshold for single droplet vaporization and study the variation with respect to the droplet size. The student will then proceed to work with multiple droplets to correlate the measured emission with different types of droplet populations and concentrations.
Keywords
Medical ultrasound, physics of fluids, acoustic, droplet vaporization, superheated, phase change
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Master Thesis
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Published since: 2025-09-23
Applications limited to ETH Zurich
Organization Group Supponen
Hosts Collado Gonzalo
Topics Engineering and Technology , Physics
Stability assessment of lighting poles based on dynamic properties
This thesis aims to advance methods for the stability assessment of lighting and sports field poles. Building on prior work, which included a Python-based frequency calculation tool and a mobile vibration measurement device, the project will combine classical vibration analysis with modern machine learning techniques to reliably evaluate pole condition and detect potential damage.
Keywords
lighting poles, vibration analysis, structural stability, machine learning, condition assessment
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-09-23 , Earliest start: 2025-11-01 , Latest end: 2026-05-31
Organization Structural Mechanics (Prof. Chatzi)
Hosts Chatzi Eleni
Topics Engineering and Technology
Serial Manufacturing Platform for Magnetic Endovascular Devices
Electromagnetic navigation systems enable steerable endovascular devices to access previously unreachable brain regions for stroke and aneurysm treatment. This project develops a manufacturing setup for scalable production of these devices, followed by fabrication and testing to advance next-generation neurovascular therapies.
Keywords
Mechanical Engineering, Medical Robotics, Mechanical Design
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-09-22 , Earliest start: 2025-09-22 , Latest end: 2026-04-01
Organization Multiscale Robotics Lab
Hosts Gantenbein Valentin
Topics Engineering and Technology
Microbial bio-cementation of wood waste for sustainable building materials
This project aims to maximize the sustainable use of wood by-products by transforming it into durable bio-bricks through microbial mineralization. Currently, most wood residues, such as sawdust or bark, are being burned, releasing the CO2 that has been stored over the years back into the atmosphere. Methods to maintain wood by-products in the value chain use petrol-based glues, making any recycling or disposing of them challenging. By using the natural ability of Sporosarcina pasteurii (a bacterium usually living in soil) to induce mineral precipitation, we will explore how microbial processes can be used to upcycle wood waste. This approach looks into reducing waste and creating a truly bio-based material, while being at the interface of combining biology with material engineering.
Keywords
Living-Materials, Wood, Sustainable Materials, Upcycling, Bacteria, MICP
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Master Thesis
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Published since: 2025-09-19 , Earliest start: 2025-11-03
Organization Wood Materials Science (Prof. Burgert)
Hosts Kindler Robert
Topics Engineering and Technology
Improving Badminton Skills for Competitive Play in Legged Manipulators
We develop learning-based control methods to enable agile and coordinated robot badminton. Building on our recent Science Robotics work, where a quadrupedal manipulator intercepted shuttlecocks at speeds up to 12.06 m/s and played collaboratively with an human, this project aims to advance from collaborative play to competitive gameplay through more effective and strategic returns. The student will work hands-on with our robot, focusing on deploying reinforcement learning policies on hardware, integrating them with high-frequency control loops, and addressing sim-to-real challenges.
Keywords
Learning-based control; Autonomous badminton playing; Sim-to-real transfer
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-09-17 , Earliest start: 2025-09-30
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne
Organization Robotic Systems Lab
Hosts An Tianxu
Topics Engineering and Technology
Characterizing brain organoid networks and oscillations with high-density microelectrode arrays and optogenetics
Organoids are attractive model systems to study aspects of the developing mammalian brain in vitro. In this project, we will use high-density microelectrode arrays (HD-MEAs) to study the emerging neuronal networks in mouse brain organoids and investigate their oscillatory dynamics. By combining electrical recordings on HD-MEAs with optogenetic stimulation, we will probe how defined neuronal subpopulations contribute to network activity and test strategies for the controlled perturbation of developing organoid circuits.
Keywords
Brain organoids, microelectrode arrays, optogenetics, electrophysiology, functional connectivity, theta and gamma oscillations, network dynamics
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Semester Project , Master Thesis
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Published since: 2025-09-15 , Earliest start: 2025-10-01 , Latest end: 2026-05-31
Organization Bio Engineering Laboratory
Hosts Schröter Manuel
Topics Engineering and Technology , Biology
Volumetric Bioprinting of Perfusable Scaffolds for Mammary Tissue Engineering
Background: Collagen, the most abundant structural protein in the extracellular matrix, is essential for tissue architecture, integrity, and cell function. Its biocompatibility makes it attractive for tissue engineering. Volumetric 3D printing (see attached image) enables the rapid fabrication of complex, cell-friendly scaffolds with high resolution. In this project, the student will bioprint tissue constructs that mimic native architecture and function, including mammary tissue, using collagen based materials and volumetric printing. Further the student will work on advancing our culture platforms from static systems to dynamic, flow-integrated models . The project will build on the lab’s current expertise in volumetric bioprinting and in collagen-based material design: • Volumetric printed biomimetic scaffolds support in vitro lactation of human milk-derived mammary epithelial cells. A. Hasenauer et al. Science Advances, 2025 • Rapid Deep Vat Printing Using Photoclickable Collagen-Based Bioresins. M. Winkelbauer et al. Advanced Healthcare Materials, 2025 We are looking for a motivated student, and experience with the following would be an advantage: • Experience in CAD design (e.g. Fusion 360) • Basic coding/programming skills (e.g., Python or MATLAB) for data analysis Preferred Duration: 6 months This thesis offers an exciting opportunity to combine cutting-edge volumetric bioprinting technology with advanced collagen scaffold design, building on the lab’s strong foundation in bioprinting and biomaterials research.
Keywords
Volumetric Printing Collagen Tissue engineering Mammary Tissue Perfusion
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Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-09-14 , Earliest start: 2025-10-06 , Latest end: 2026-07-31
Organization Zenobi-Wong Group / Tissue Engineering and Biofabrication
Hosts Zenobi-Wong Marcy , Hasenauer Amelia
Topics Medical and Health Sciences , Engineering and Technology , Biology
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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Semester Project
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Published since: 2025-09-12 , Earliest start: 2025-10-01 , Latest end: 2026-08-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Zada Muhammad
Topics Engineering and Technology
Development of a robotic hand actuated using soft HASEL actuators
Development of a forearm to actuate a tendon driven humanoid robotic hand using soft electrostatic HASEL actuator and demonstration of its capabilities with a Franka robotic arm.
Keywords
Electrostatic actuator, soft actuator, Robotic Hands, Soft Robotics
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Published since: 2025-09-12 , Earliest start: 2025-09-22 , Latest end: 2025-12-01
Organization Soft Robotics Lab
Hosts Kazemipour Amirhossein , Hinchet Ronan , Katzschmann Robert, Prof. Dr.
Topics Engineering and Technology
Learning Precise Force Estimation Under Dynamic Loads
Force estimation on robotic arms is valuable for performing mobile manipulation tasks, such as pick-and-place or playing badminton. However, at high speeds, traditional methods such as momentum-based observers break down due to compounding errors in the dynamic model. Recent works have proposed using LSTMs to apply either a residual to a momentum based observer, or outright replace it with a learned model. However, the problem of doing this at high velocities remains relatively unexplored. In this project, you will develop a data-driven model for estimating forces during dynamic trajectories. You will investigate different model architectures and learning approaches.
Keywords
force estimation, machine learning, robotics
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Semester Project , Master Thesis
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Published since: 2025-09-11 , Earliest start: 2025-09-14
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Fischer Oliver
Topics Engineering and Technology
Simulation of cellular-force-microscopy-integrated lab-on-a-chip devices for in-situ biohybrid microrobot characterization
Microfluidic devices can be employed in biological research as lab-on-a-chip (LoC) and organ-on-a-chip (OoC) systems. These platforms enable precise in-situ cell manipulation within a highly controlled environment and have proven beneficial for the large-scale production of biohybrid magnetic microrobots. Integrating the LoC devices with the cellular force microscope (CFM) allows for real-time monitoring and in-situ mechanical characterization of biohybrid magnetic microrobots during their production and incubation. The goal of this project is to design and simulate an intelligent LoC/OoC device integrated with CFM for in-situ monitoring and characterization during microrobot production and drug testing.
Keywords
Lab-on-a-chip, organ-on-a-chip, magnetic microrobot, cellular force microscope, simulation
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Semester Project , Bachelor Thesis
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Published since: 2025-09-09 , Earliest start: 2025-09-09 , Latest end: 2026-03-31
Organization Multiscale Robotics Lab
Hosts Zhu Jiawei
Topics Engineering and Technology
Exploring the 3D Mineralization Behavior in Material-Induced Osteoinduction Through a Multiscale Micro-CT Imaging Approach
The project aims at investigating material-induced osteoinduction using the available mouse model of orthotopic or ectopic bone graft substitute (BGS) application. Through the 3D-3D registration of ex vivo and in vivo multiscale micro-CT images, crucial 3D mineralization behavior of the BGS can be investigated.
Keywords
Femur, Bone Graft Substitute, Critical Size Defect, Osteoinduction, in vivo, micro-CT, 3D-3D Image Registration, Image Analysis, Image Processing, Python, Computational
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-09-08 , Earliest start: 2025-09-22 , Latest end: 2026-07-31
Organization Müller Group / Laboratory for Bone Biomechanics
Hosts Lindenmann Sara
Topics Medical and Health 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: 2025-09-05 , Earliest start: 2025-11-01 , Latest end: 2026-07-31
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Patil Vaishakh , Wilder-Smith Max
Topics Information, Computing and Communication Sciences
Informed Exploration in Reinforcement Learning via Sampling-Based Planning
Robust locomotion across diverse terrains remains one of the most challenging and exciting problems in legged robotics. While deep reinforcement learning (RL) has enabled impressive quadrupedal behaviors, generalization to unseen or complex terrains often suffers from low sample efficiency. To address this, researchers typically rely on labor-intensive curriculum design, where training terrains are manually structured to progress from easy to difficult, while trying to avoid catastrophic forgetting. These staged curricula allow the RL agent to master simple environments before tackling more complex ones. However, even with such manually designed curricula, RL training can take several days. This is partly because the agent does not retain knowledge about where it has succeeded or failed, nor does it use this experience to inform future exploration. This project aims to develop an automated approach to guide the RL exploration by leveraging sampling-based planning techniques. We formulate the training process as a graph expansion problem, wherein the terrain space is incrementally explored to maximize gains in locomotion robustness and performance. Can the Voronoi bias inherent in sampling-based planning steer the agent toward more effective and sample-efficient training trajectories? If successful, this approach could enable the use of real-world terrain scans for locomotion training, reducing dependence on expert-designed environments and substantially accelerating the training process. The project brings together concepts from sampling-based planning, adaptive curricula, and locomotion learning.
Keywords
Curriculum Learning, Quadruped Locomotion, Sampling-Based Planning, Reinforcement Learning
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Semester Project , Master Thesis
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Published since: 2025-09-05
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , University of Zurich
Organization Robotic Systems Lab
Hosts Klemm Victor , Qu Kaixian
Topics Information, Computing and Communication Sciences
Understanding the role of particle microstructure in the deformation mechanisms of 2xxx Aluminium Alloys powders
This project is a collaboration between ETH Zurich and Mines Paris. In the Advanced Manufacturing Lab at ETH Zurich (AMLZ), we are conducting research on sustainable, high-performance aluminium alloys for advanced manufacturing processes like AM, High-Speed Laser Cladding and more. With the support of material simulation (ThermoCalc), and by operating an ultrasonic atomizer, metal powders from new alloys can be created fast. AMLZ intends to extend its alloy development activities to Cold Spray, where both institutes have process simulation expertise, which supports defining the boundary conditions for alloy development. Centre des Matériaux (CdM) - Mines Paris is a research laboratory located in Versailles, close to Paris, and composed of about 180 people including 80 PhD students. One of the best research centres in France, it is engaged into more than 50 contracts per year with industry. Its research activities are devoted to Materials sciences and Mechanics of materials from the experimental and simulation perspectives. The team of the CdM involved in this project is one of the first group in France who begun to study the Cold Spray process about 25 years ago. The group has expertise on both experimental and modeling activities. In particular, cold spray of aluminium alloys for aeronautical applications is a familiar topic within the team, as well as their modification by heat treatments [1]. This research aims to enhance understanding of aluminum alloy performance in the Cold Spray process, through a comprehensive microscale experimental approach. Ultimate goals in this challenge are to optimize powder processing parameters that enhance particle characteristics for Cold Spray applications, and to establish process-property relationships by correlating microstructural and mechanical properties of the powder with cold spray performance metrics, thus creating a predictive framework for aluminum alloy behavior, supporting future alloy development specifically designed for the manufacturing process.
Keywords
Cold Spray, Aluminium, Deformation, Material Science, Metallurgy, Advanced Manufacturing.
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Master Thesis , Other specific labels , ETH Zurich (ETHZ)
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Published since: 2025-09-04 , Earliest start: 2025-09-01 , Latest end: 2026-04-30
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne
Organization Advanced Manufacturing Laboratory
Hosts Papis Konrad, Dr.
Topics Engineering and Technology
LSTM-Based Framework for Constitutive Model Parameter Identification
Constitutive models are essential for representing material behaviour and for implementation in numerical tools to assess the mechanical response of components under complex loading conditions. Calibration of advanced constitutive models, however, remains challenging. Traditional inverse analysis is widely used, but it is iterative, slow, and computationally expensive. This project investigates the use of Long Short-Term Memory (LSTM) neural networks to directly identify constitutive parameters from stress–strain curves. By treating the stress–strain response as sequential data, the framework aims to provide a fast, one-shot alternative for parameter identification, with particular focus on viscoplastic models such as the Chaboche formulation.
Keywords
Constitutive Model Calibration; Chaboche Model; Stress–Strain Curves; Deep Learning; LSTM; Machine Learning in Mechanics
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-09-02 , Earliest start: 2025-09-15 , Latest end: 2026-03-31
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Organization Experimental Continuum Mechanics
Hosts Hosseini Ehsan
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Codes and Standards for Hydrogen Pipelines: Formal Mechanical Integrity Assessment
The safe repurposing of natural gas pipelines for hydrogen transport is essential for achieving net-zero by 2050. Hydrogen embrittlement significantly reduces fracture toughness and accelerates crack growth in pipeline steels, posing major integrity risks. This project focuses on learning and applying formal mechanical integrity assessment procedures by comparing international standards (ASME B31.12 and DVGW G464). Students will gain hands-on experience in interpreting codes, understanding their assumptions and limitations, and applying them to realistic case studies of hydrogen pipelines.
Keywords
Hydrogen Embrittlement; Mechanical Integrity; ASME B31.12; DVGW G464; Pipeline Assessment; Standards Comparison; Fracture Toughness; Fatigue Crack Growth; Engineering Practice; Structural Integrity
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-09-02 , Earliest start: 2025-09-15 , Latest end: 2026-03-31
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Organization Experimental Continuum Mechanics
Hosts Hosseini Ehsan
Topics Engineering and Technology
Physics-Informed Neural Networks for Probabilistic Structural Analysis: Learning to Quantify Uncertainty
Traditional structural analysis often neglects uncertainties in material properties, loading, and boundary conditions, or treats them with computationally expensive methods like Monte Carlo–FEM simulations. Physics-Informed Neural Networks (PINNs) offer a new paradigm: combining machine learning with governing physical laws to enable fast, uncertainty-aware structural analysis. This project gives students the opportunity to explore how PINNs can be trained and applied to quantify uncertainty in structural mechanics, gaining experience at the interface of scientific machine learning and computational mechanics.
Keywords
Physics-Informed Neural Networks (PINNs); Structural Analysis; Uncertainty Quantification; Finite Element Method; Surrogate Modelling; Probabilistic Methods; Computational Mechanics; Machine Learning in Engineering
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Master Thesis
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Published since: 2025-09-02 , Earliest start: 2025-09-15 , Latest end: 2026-03-31
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Organization Experimental Continuum Mechanics
Hosts Hosseini Ehsan
Topics Engineering and Technology
Physics-Informed Neural Networks for Structural Mechanics: Bridging AI and Engineering
Machine learning is transforming many fields, but its application in mechanics is still emerging. Physics-Informed Neural Networks (PINNs) integrate physical laws directly into machine learning models, opening new opportunities to model structural behaviour with far fewer data (or even without) than traditional AI approaches. This project gives students the chance to explore how PINNs can be used to solve mechanical problems under parametric boundary conditions, combining cutting-edge AI with fundamental mechanics.
Keywords
Physics-Informed Neural Networks (PINNs); Scientific Machine Learning; Structural Mechanics; Parametric Analysis; Computational Mechanics; Finite Element Validation
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Semester Project , Master Thesis
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Published since: 2025-09-02 , Earliest start: 2025-09-15 , Latest end: 2026-03-31
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Organization Experimental Continuum Mechanics
Hosts Hosseini Ehsan
Topics Engineering and Technology
Self-locking cuff electrodes for the nerve stimulation
Nerve cuff electrodes are designed for reliable recording and stimulation of peripheral nerves, as illustrated in Figure A. This project aims to develop a wireless, self-locking cuff electrode tailored specifically for nerve stimulation, as depicted in Figure B&C.
Keywords
Flexible electrodes design, FEM simulation, Biomedical applications
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Semester Project , Master Thesis
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Published since: 2025-09-01 , Earliest start: 2025-09-01 , Latest end: 2026-09-01
Organization Multiscale Robotics Lab
Hosts Chen Huimin
Topics Engineering and Technology
AR-Based Eye-Tracking Validation for Traumatic Brain Injury Rehabilitation
This project aims to develop an Augmented Reality (AR) application that validates eye-tracking accuracy in the context of rehabilitation for Traumatic Brain Injury (TBI) patients. The project has two main components: (1) creating an AR application that evaluates the accuracy of eye-tracking during rehabilitation tasks, and (2) building a therapist-side application that allows therapists to guide patients through the process in real time.
Keywords
Augmented Reality, AR, Virtual Reality, VR, XR, Rehabilitation, Traumatic Brain Injury, Eye Tracking, Hand Tracking, Calibration, Validation, Unity, Varjo, Therapist Guidance, Human–Computer Interaction
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Published since: 2025-09-01 , Earliest start: 2025-09-21
Applications limited to EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich
Organization pd|z Product Development Group Zurich
Hosts Stauffer Tobias , Gutiez Blanca
Topics Information, Computing and Communication Sciences , Engineering and Technology
Reinforcement Learning for Magnetic Levitation
This project explores the control of freely levitating objects in space using electromagnetic navigation using reinforcement learning. By generating controlled magnetic fields, we can wirelessly manipulate the position and orientation of the levitating magnetic object. A fully functional experimental platform is already available, providing a rich testbed for exploring advanced control strategies.
Keywords
reinforcement learning
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-09-01 , Earliest start: 2025-09-02 , Latest end: 2026-12-31
Organization Multiscale Robotics Lab
Hosts Zughaibi Jasan
Topics Engineering and Technology
Microfluidic Microreactors for Stable Filamentous Fungi Confinement
Filamentous fungi are valuable producers of bioactive compounds due to their biosynthetic capacity. However, their application in microfluidic systems for high-throughput mutagenesis screens for evolving traits of interest is limited by technical challenges. When encapsulated in conventional water-in-oil droplets, filamentous fungi tend to grow through the droplet interface, eventually breaking it. This lack of containment in droplets hinders the use of droplet-based microfluidics in fungi for high-throughput screening and sorting platforms such as Fluorescence-Activated Droplet Sorting (FADS). This project aims to develop robust microreactor formats that can confine filamentous fungi while enabling prolonged culture and metabolite detection in droplet-based microfluidic workflows. This project is supported by the collaboration between the deMello Lab (ETH Zurich) and the Syngenta Crop Protection AG (Stein, AG) Research Center. References: 10.1021/acssensors.3c01018
Keywords
Microfluidics; Droplet microfluidics; Hydrogels; Filamentous fungi
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Master Thesis
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Published since: 2025-09-01 , Earliest start: 2025-09-15 , Latest end: 2026-01-31
Organization Biochemical Engineering (deMello Group)
Hosts Stavrakis Stavros
Topics Engineering and Technology
Design data acquisition solution for smart clothing
The aim of this project is to develop and improve wearable electronics solutions for data acquisition from textile-based sensors used in our smart clothing.
Keywords
smart clothing, wearable technology, textile sensor, fitness tracking, sports medicine, PCB, electronics, computer science
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Semester Project , Internship , Bachelor Thesis
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Published since: 2025-08-27 , Earliest start: 2025-07-01 , Latest end: 2025-12-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Ahmadizadeh Chakaveh
Topics Information, Computing and Communication Sciences , Engineering and Technology
Software Development: Enabling In Vitro Neuroscience Research
This 6-month internship 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, with a preference for knowledge also of C++ and Cython, and excellent documentation practices. This project is also available as Master thesis or semester project.
Keywords
Internship; Software development; Neural Interfaces; Neuroscience; Python; C++; Cython; Biomedical Research; Neuroengineering; Neurotechnology.
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Semester Project , Internship , Master Thesis
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Published since: 2025-08-27 , Earliest start: 2025-06-15
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Information, Computing and Communication Sciences
Reinforcement Learning for Whole-body Robot Manipulation
Reinforcement learning is deployed to make the robot interact with and move large objects. Additionally, sampling-based methods can be used to improve training speed. The scientific selection, evaluation, and comparison of learning methods and control architectures provides valuable insights into advanced robotic manipulation.
Keywords
Robotics, Reinforcement Learning, Manipulation, Humanoid,
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Master Thesis
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Published since: 2025-08-25 , Earliest start: 2025-09-01 , Latest end: 2026-08-31
Organization Robotic Systems Lab
Hosts Bruedigam Jan
Topics Information, Computing and Communication Sciences , Engineering and Technology
Yell at your robot: Learning navigation with ANYmal
Help advance the next generation of quadrupedal robots by combining Vision-Language-Action (VLA) models with a Forward Dynamics Model for embodiment-aware navigation. You will develop and test a system that predicts safe, physically feasible actions, validated in simulation and real hardware. This is a unique chance to work on cutting-edge embodied AI in collaboration with Stanford’s ASL.
Keywords
Robotic Navigation, Vision-Lanaguage-Action Models, Foundational Models, Forward Dynamics Models, Robot Learning, Machine Learning, Deep Learning
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Master Thesis
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Published since: 2025-08-21
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , Swiss National Science Foundation , University of Zurich
Organization Robotic Systems Lab
Hosts Roth Pascal , Frey Jonas
Topics Information, Computing and Communication Sciences
Understanding your environment from images for RL-Navigation
Tackle the challenge of learning how quadrupeds understand terrain and risk by training a traversability module grounded in real-world data from ANYmal. The project combines dataset-driven learning with reinforcement learning to build an embodiment-aware navigation system. Work with Stanford’s ASL on a project that blends semantics, dynamics, and robotics.
Keywords
Robot Learning, Reinforcement Learning, Deep Learning, Navigation, Robot Navigation
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Master Thesis
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Published since: 2025-08-21
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , IBM Research Zurich Lab , Swiss National Science Foundation
Organization Robotic Systems Lab
Hosts Roth Pascal , Frey Jonas
Topics Information, Computing and Communication Sciences
Thesis with Planted: simulation
Based on new experimental findings a simulative study of texture formation inside plant based meat alternatives should be set up. The results should be compared with experimental findings
Keywords
plant based meat, simulation, numerics, lab experiments,
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-08-21 , Earliest start: 2025-09-01 , Latest end: 2026-04-30
Organization pd|z Product Development Group Zurich
Hosts Reikat Maximilian
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: 2025-08-21 , Earliest start: 2024-11-01 , Latest end: 2026-08-31
Organization Müller Group / Laboratory for Bone Biomechanics
Hosts Mathavan Neashan
Topics Medical and Health Sciences , Engineering and Technology
Thesis with Planted: image based product characterization
The goal of this project is to develop an image-based analysis method that enables timely evaluations.
Keywords
plant based meat, extrusion, image based analysis, programming, lab tests
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-08-21 , Earliest start: 2025-09-01 , Latest end: 2026-04-30
Organization pd|z Product Development Group Zurich
Hosts Reikat Maximilian
Topics Information, Computing and Communication Sciences , Engineering and Technology
Thesis with Planted: lab on a chip
The goal of this project is to develop an analytical method that will enable even small material samples to be tested for their suitability for the extrusion process.
Keywords
plant based meat, extrusion, CAD, design, lab test, lab on a chip
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-08-21 , Earliest start: 2025-09-01 , Latest end: 2026-04-30
Organization pd|z Product Development Group Zurich
Hosts Reikat Maximilian
Topics Engineering and Technology
Thesis with Planted: CAD-design and Experimentation
Based on pre-study, the aim of this new thesis project is to continue the research work and further improve the die design, fabricate new die variants using AM, and experimentally test them onsite at the facilities of Planted.
Keywords
plant based meat, extrusion, CAD, design, lab test,
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-08-21 , Earliest start: 2025-09-01 , Latest end: 2026-04-30
Organization pd|z Product Development Group Zurich
Hosts Reikat Maximilian
Topics Engineering and Technology
Reconstruct Human-scene interaction with gaussian splatting avatars
Three-dimensional (3D) reconstruction of dynamic scenes, particularly those involving humans interacting with their environment, remains a challenging problem in computer vision and graphics. Traditional volumetric and mesh-based methods can struggle with occlusions, complex geometries, and real-time performance. Recent advances in neural rendering—especially Gaussian splatting—offer promising alternatives by representing scenes as clouds of oriented 3D Gaussians (“splats”) that can be rendered extremely efficiently. The goal of this project is to develop a novel pipeline that leverages Gaussian splatting to reconstruct, analyze, and interpret human–scene interactions in 3D.
Keywords
3D reconstruction, Gaussian splatting, Human pose estimation
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Semester Project , Master Thesis
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Published since: 2025-08-20
Applications limited to ETH Zurich , University of Zurich
Organization pd|z Product Development Group Zurich
Hosts Wang Rui
Topics Information, Computing and Communication Sciences
Mechanophores for advanced wearable strain and pressure sensors
The goal of the project is to synthesize and characterize a number of small molecules capable of acting as mechanophore addition to various polymers. These polymers would then be used as wearable strain or pressure sensors.
Keywords
mechanophore, polymer, wearable, sensor, color, strain, pressure
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Master Thesis
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Published since: 2025-08-19
Organization Biomedical and Mobile Health Technology Lab
Hosts Shokurov Aleksandr
Topics Engineering and Technology , Chemistry
Point-of-Care Sensor for Urinary Iodine
The goal of the project is to develop a cheap and disposable sensor capable of determination of iodine levels in human urine for early diagnostic purposes.
Keywords
electrochemistry, iodine, nutrition, health, point of care
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Master Thesis
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Published since: 2025-08-19
Organization Biomedical and Mobile Health Technology Lab
Hosts Shokurov Aleksandr
Topics Medical and Health Sciences , Engineering and Technology , Chemistry
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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Semester Project , Master Thesis
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Published since: 2025-08-12 , 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
From Human Videos to Robot Control: Correcting the Embodiment Gap for Dexterous Manipulation
Several strategies tackle the embodiment gap between human demonstrations and robot execution. Some remove human or robot hands from videos via segmentation and inpainting to produce agent‑agnostic inputs or uniform end-effector cues, while others replace human hands with rendered robot manipulators to synthesize robot views. Latent space alignment methods enforce a shared embedding for human and robot observations, and recent cross‑embodiment techniques inpaint source robot embodiments into target frames during testing to maintain visual consistency across domains. In this project, we aim to systematically compare these embodiment gap-bridging methods under a unified evaluation protocol. Unlike prior work that typically focuses on one technique in isolation, we implement and benchmark multiple approaches on a real robotic platform equipped with a dexterous five-fingered hand.
Keywords
egocentric vision, representation learning, robotic manipulation
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Master Thesis
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Published since: 2025-08-11 , Earliest start: 2025-10-01 , Latest end: 2026-05-01
Organization Computer Vision and Geometry Group
Hosts Gavryushin Alexey , Portela Tifanny , Zurbrügg René
Topics Information, Computing and Communication Sciences
Wearable device for non-invasive assessment of fatigue
The goal of the project is to develop a wearable device capable of non-invasive measurement of human biomarkers related to performance and fatigue during exercise.
Keywords
wearable, fatigue, exercise, sensor, athlete, non-invasive, sport
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Master Thesis
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Published since: 2025-08-11
Organization Biomedical and Mobile Health Technology Lab
Hosts Shokurov Aleksandr
Topics Medical and Health Sciences , Engineering and Technology , Chemistry
AI-Assisted 3D Ultrasound Elastography for Non-Invasive Detection of Adenomyosis and Endometriosis
Detection of Endometriosis and Adenomyosis with Ultrasound
Keywords
Ultrasound, Endometriosis, Adenomyosis, AI
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Semester Project , Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-08-08 , Earliest start: 2025-09-01 , Latest end: 2026-12-31
Organization Nanoparticle Systems Engineering Laboratory
Hosts Herrmann Inge
Topics Engineering and Technology
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: 2025-08-07 , Earliest start: 2025-11-01 , Latest end: 2026-11-01
Organization Bio Engineering Laboratory
Hosts Kurmashev Amanzhol
Topics Engineering and Technology , Biology
Learning-based Control for Magnetic Levitation
This project explores the control of freely levitating objects in space using electromagnetic navigation, as illustrated in the image above. By generating controlled magnetic fields, we can wirelessly manipulate the position and orientation of the levitating magnetic object. A fully functional experimental platform is already available, providing a rich testbed for exploring advanced control strategies.
Keywords
magnetic levitation control, learning-based control, Model Predictive Control
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-08-06 , Earliest start: 2025-08-07 , Latest end: 2026-12-31
Organization Multiscale Robotics Lab
Hosts Zughaibi Jasan
Topics Engineering and Technology
Quantum Defect Engineering for Infection Sensors
Are you passionate about optical nanotechnology, biosensing, and quantum materials? Join our cutting-edge research project advancing single-walled carbon nanotube (SWCNT) sensors for infection detection! SWCNTs exhibit remarkable near-infrared photoluminescence, high photostability, and size-tunable emission, making them ideal candidates for non-invasive, real-time bioimaging and biosensing applications. By precisely introducing quantum defects—disruptions in the SWCNT lattice that create new emissive states—we unlock customizable optical fingerprints sensitive to their local environment. This project harnesses these unique optical responses by engineering and characterizing quantum-defect-modified SWCNTs, tailoring their luminescence for selective recognition of infection markers. We seek motivated Master students in the area of chemistry, material science or physics excited to explore the intersection of quantum nanomaterials and pathogen diagnostics, working with interdisciplinary teams in advanced spectroscopy and nanobiointerface engineering.
Keywords
Single-walled carbon nanotubes (SWCNTs) Quantum defects Near-infrared fluorescence Optical biosensors Nanotube photoluminescence Defect engineering Quantum emission Nanosensors Infection sensing Pathogen detection Bioimaging Functionalized carbon nanotubes Defect-induced emission Single-photon emitters Surface modification Nanomaterials for diagnostics Nanotube–biomolecule interaction Spectroscopic sensing Photostability Fluorescent nanomaterials Point-of-care diagnostics Quantum nanotechnology Biomedical nanomaterials Selective detection Emissive defects Environmental sensitivity (SWCNTs) Label-free biosensing Sensing platform Signal transduction (nano-optics) Pathogen biomarkers Advanced spectroscopy Sensors Chemical Engineering Biomedical engineering
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Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-08-06 , Earliest start: 2025-10-01
Applications limited to Agroscope , CERN , Empa , Eawag , EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , University of Zurich , University of Lucerne , University of Lausanne , Université de Neuchâtel , University of Geneva , University of St. Gallen , University of Fribourg , University of Berne , University of Basel , Wyss Translational Center Zurich , Università della Svizzera italiana , Swiss National Science Foundation , Paul Scherrer Institute , Lucerne University of Applied Sciences and Arts , Hochschulmedizin Zürich , Ludwig Maximilians Universiy Munich , Max Planck Society , FH Aachen , Humboldt-Universität zu Berlin , RWTH Aachen University , Technische Universität Hamburg , Technische Universität München , TU Berlin , TU Darmstadt , TU Dresden , Universität Ulm , Universität zu Lübeck , University of Cologne , University of Erlangen-Nuremberg , University of Hamburg , University of Konstanz , Universtity of Bayreuth , Delft University of Technology , Maastricht Science Programme , Radboud University Nijmegen , Utrecht University , Uppsala Universitet , Massachusetts Institute of Technology , Balgrist Campus , Berner Fachhochschule , CSEM - Centre Suisse d'Electronique et Microtechnique , Zurich University of Applied Sciences , European Molecular Biology Laboratory (EMBL) , Eberhard Karls Universität Tübingen , Justus Liebig University, Gießen , Martin Luther Universitat, Halle , Max Delbruck Center for Molecular Medicine (MDC) , Otto Von Guericke Universitat, Magdeburg , Social Science Research Center Berlin , Universität der Bundeswehr München , Imperial College London , National Institute for Medical Research , Royal College of Art , UCL - University College London , University of Aberdeen , University of Cambridge , University of Leeds , University of Manchester , University of Nottingham , University of Oxford , Harvard , Max Planck ETH Center for Learning Systems , The University of Edinburgh , University of California, Berkeley , University of California, San Diego , University of Southern Denmark , Yale University
Organization Nanoparticle Systems Engineering Laboratory
Hosts Nissler Robert, Dr.
Topics Medical and Health Sciences , Engineering and Technology , Chemistry
Neuroimaging: Electrical and Optical Imaging to Study Neuronal Communication In Vitro
This project offers the opportunity to investigate neuronal communication using in vitro models of neural networks. The work will focus on the cultivation and maintenance of neuronal cultures, combined with advanced imaging techniques to study functional activity and connectivity. A key component of the project involves the development and optimization of experimental and analytical methods to interrogate neuronal dynamics, with potential applications in pharmacological screening and neurobiological research.
Keywords
Neuroscience, Neuronal Networks, In Vitro Models, Cell Culture, Microscopy, Biomedical Engineering
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Semester Project , Internship , Lab Practice , Master Thesis
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Published since: 2025-08-05 , Earliest start: 2025-08-15
Organization Bio Engineering Laboratory
Hosts Cardes Fernando
Topics Medical and Health Sciences , Engineering and Technology , Biology
PDMS-Based Bioreactor Investigating Cell Behavior in Response to Hydrostatic Pressure and Substrate Stiffness
Introduction and Background Skin cells dynamically respond to mechanical and biochemical stimuli, which influence critical processes such as proliferation, differentiation, and migration. By understanding this interplay, mechanical and biochemical stimuli may be used in the future to facilitate the growth of skin patches, tissue formation, and organ regeneration, enabling new therapies and benefiting patients. The study of these responses, mechanobiology, requires advanced in-vitro systems to emulate physiological conditions. This project utilizes a device designed for controlled manipulation of hydrostatic pressure (0.1–1.5 kPa) and substrate stiffness (0.1–100 kPa). The system facilitates isolated and scalable experiments to analyze how the interplay of these mechanical parameters affects cell behavior. In this thesis, the student will use this system to investigate how different stimuli affect cell behavior.
Keywords
Bioreactor, tissue engineering, organ regeneration
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Master Thesis
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Published since: 2025-08-05 , Earliest start: 2025-09-01 , Latest end: 2026-03-05
Organization Macromolecular Engineering Laboratory
Hosts Binz Jonas
Topics Engineering and Technology , Biology
Revolutionizing Medicine with Magnetoelectric Nanorobots: Toward Wireless and Minimally Invasive Therapies
Magnetoelectric nanorobots, assembled from core–shell nanoparticles that integrate a magnetic core and a piezoelectric shell, enable wireless actuation by transducing magnetic fields into localized electric responses. Through controlled synthesis and functional design, these nanosystems can be endowed with navigation, responsiveness, and biocompatibility, paving the way for advanced applications in remote biomedical stimulation, targeted drug delivery, and intelligent therapeutic platforms.
Keywords
Nanorobot, Microrobot, Magnetoelectric Nanoparticles, Core-Shell Synthesis, Cobalt Ferrite, Barium Titanate, Targeted Drug Delivery, Cancer Treatment
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Published since: 2025-08-04 , Earliest start: 2025-09-15
Applications limited to ETH Zurich
Organization Multiscale Robotics Lab
Hosts Vezzoni Alessia
Topics Engineering and Technology , Chemistry , Biology
TA of Real world robotics class
The course Real World Robotics (RWR) is looking to hire teaching assistants (TAs) to help with managing the class. You will work closely with the head TA and the Soft Robotics Lab (SRL) staff. RWR is a project-based course where students work in teams to develop a robotic system to complete a set of autonomous challenges. This year, we will focus on dexterous manipulation. For more information, please refer to our website: https://rwr.ethz.ch/
Keywords
Teaching Assistant, Robotic Hands, Dexterous Manipulation, Imiation learning, Reinforcement learning, CAD
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Student Assistant / HiWi , ETH Zurich (ETHZ)
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Published since: 2025-08-04 , Earliest start: 2025-09-01 , Latest end: 2026-01-31
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Organization Soft Robotics Lab
Hosts Liconti Davide
Topics Information, Computing and Communication Sciences
Agent-Based Dashboard Configuration Using Generative AI
Dashboards play a crucial role in shop floor operations, offering operators essential real-time data for monitoring and controlling manufacturing processes. In a previous project, a proof-of-concept Gener-ative AI system was developed, with capabilities for OPC UA and REST API connectivity, basic Re-trieval-Augmented Generation (RAG), and interactive Grafana dashboard modifications. Initial benchmark evaluations showed that OPC UA integration already performs reliably and forms a strong foundation. REST API interactions and RAG-based query handling demonstrated valuable first results and now offer promising opportunities for targeted refinement and improvement. The system utilizes agent-based architectures; At its current stage, agents execute tasks in a single step without feedback, a simplification that opens the door for enhancing robustness through iterative execution and error correction.
Keywords
Generative AI, Agent-based Systems, Smart Factory, Shop Floor Automation, Industrial IoT
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-08-04 , Earliest start: 2025-09-01 , Latest end: 2026-03-31
Organization Computational Modelling of Materials in Manufacturing
Hosts Zwicker Ruben
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: 2025-08-04 , Earliest start: 2025-01-15 , Latest end: 2025-10-31
Organization Robotic Systems Lab
Hosts Gawel Abel , Kneip Laurent
Topics Information, Computing and Communication Sciences , Engineering and Technology
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: 2025-07-30 , 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
pH Quantification in Emulsified Droplets for High-Throughput Screening
This project focuses on finding a suitable emulsification system for encapsulating bacteria in water-in-oil droplets. By employing microfluidic systems and versatile pH dyes, we aim to create emulsified droplets with reduced crosstalk rates to screen bacteria based on the pH changes as a result of their metabolic activity.
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Keywords: Bacteria, pH, droplets, microfluidic, high-throughput.
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Published since: 2025-07-30 , Earliest start: 2025-08-04 , Latest end: 2026-03-31
Organization Complex Materials
Hosts Enrriquez Nadia
Topics Medical and Health Sciences , Engineering and Technology , Biology
Reiforcement Learning of Pretrained Trasformer Models
We want to train RL agents on our new particle simulator, accelerated on the GPU via warp in Isaac sim.
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Keywords: particle simulation, omniverse, warp, reinforcement learning
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Semester Project , Master Thesis
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Published since: 2025-07-29 , Earliest start: 2025-09-01 , Latest end: 2026-03-31
Organization Robotic Systems Lab
Hosts Terenzi Lorenzo
Topics Information, Computing and Communication Sciences
Multiagent Reinforcement Learning in Terra
We want to train multiple agents in the Terra environment, a fully end-to-end GPU-accelerated environment for RL training.
Keywords
multiagent reinforcement learning, jax, deep learning, planning
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Semester Project , Master Thesis
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Published since: 2025-07-29 , Earliest start: 2025-09-01 , Latest end: 2026-03-31
Organization Robotic Systems Lab
Hosts Terenzi Lorenzo
Topics Information, Computing and Communication Sciences
Bimanual Dexterity: Coordinated Dual-Arm Policies for Dexterous Object Manipulation
Dexterous bimanual manipulation remains a difficult challenge, requiring tight coordination between both arms and hands—especially when handling large objects. While humans perform such tasks effortlessly, robotic systems often lack the precision and adaptability needed. This project aims to tackle this problem by learning coordinated dual-arm and hand policies from a few human demonstrations, followed by reinforcement learning in simulation for real-world deployment.
Keywords
Dexterous Manipulation, Bimanual Manipulation, Learning from Demonstrations, Reinforcement Learning, Humanoid Robotics
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Semester Project , Master Thesis
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Published since: 2025-07-25 , Earliest start: 2025-07-28 , Latest end: 2026-05-31
Organization Robotic Systems Lab
Hosts He Junzhe , Mittal Mayank , Bhardwaj Arjun
Topics Information, Computing and Communication Sciences
From Grasp to Twist: Composing Dexterous Grasping and In-Hand Manipulation under Motion
Dexterous in-hand manipulation has advanced rapidly, yet most approaches assume the object is already grasped or the hand is fixed in place—conditions rarely met in real-world scenarios. This project addresses the challenge of enabling robots to both grasp and manipulate objects dynamically by learning modular skills that can be coordinated for effective manipulation under motion.
Keywords
Dexterous Manipulation, Reinforcement Learning, Skill Learning
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Semester Project , Master Thesis
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Published since: 2025-07-25 , Earliest start: 2025-07-28 , Latest end: 2026-05-31
Organization Robotic Systems Lab
Hosts Bhardwaj Arjun , Zurbrügg René , Mittal Mayank
Topics Information, Computing and Communication Sciences
Project or thesis student at ETH Spin-off qCella
You will design and run experiments, fabricate samples, perform tests, and analyze results as part of qCella’s product development. qCella is a EHT Zurich Spin-off from the Laboratory for Multifunctional Materials. The role is open to Master’s students in Chemistry, Materials Science, Chemical/Mechanical/Process or Electrical Engineering with good communication skills and a proactive mindsets.
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Chemistry Material Science Chemical Engineering
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Semester Project , Master Thesis , Master Project (D-MATL)
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Published since: 2025-07-23 , Earliest start: 2025-09-01
Organization Multifunctional Materials
Hosts Lin Weyde
Topics Engineering and Technology , Chemistry
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: 2025-07-22 , 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
Optical Nanosensors for Infection Diagnostics
Are you ready to dive into interdisciplinary, innovative research at the forefront of infection theragnostics? Join our team to design advanced materials that could revolutionize the way infections are detected and treated! Our lab is focused on synthesizing and optimizing the surface chemistry of optical materials to address pressing challenges in infection control and diagnostics. This project offers a unique chance to develop materials that can be engineered to detect, target, and treat infections effectively.
Keywords
Nanosensors Interdisciplinary Research Cutting-edge Biomedical Technology Material-based Solutions Biomedical Applications 2D Nanomaterials Nanosheets Chemical Engineering Fluorescence Nanotechnology Applications in Biomedicine Fluorescence Sensor Development Advanced Optical Materials Engineering Material Engineering Sensors Image Analysis
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Semester Project , Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-07-22 , Earliest start: 2025-09-01
Applications limited to Agroscope , Balgrist Campus , Berner Fachhochschule , CERN , Corporates Switzerland , CSEM - Centre Suisse d'Electronique et Microtechnique , Eawag , Empa , EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , Fernfachhochschule , Forschungsinstitut für biologischen Landbau (FiBL) , Friedrich Miescher Institute , Hochschulmedizin Zürich , IBM Research Zurich Lab , Institute for Research in Biomedicine , Lucerne University of Applied Sciences and Arts , NCCR Democracy , NGOs Switzerland , Pädagogische Hochschule St.Gallen , Paul Scherrer Institute , Physikalisch-Meteorologisches Observatorium Davos , Sirm Institute for Regenerative Medicine , Swiss Federal Institute for Forest, Snow and Landscape Research , Swiss Institute of Bioinformatics , Swiss National Science Foundation , Università della Svizzera italiana , Université de Neuchâtel , University of Basel , University of Berne , University of Fribourg , University of Geneva , University of Lausanne , University of Lucerne , University of St. Gallen , University of Zurich , Wyss Translational Center Zurich , Zurich University of the Arts , Zurich University of Applied Sciences , Universtity of Bayreuth , University of Konstanz , University of Hamburg , University of Erlangen-Nuremberg , University of Cologne , Universität Ulm , Universität der Bundeswehr München , Universität zu Lübeck , TU Dresden , TU Darmstadt , TU Berlin , Technische Universität München , Technische Universität Hamburg , Social Science Research Center Berlin , RWTH Aachen University , Otto Von Guericke Universitat, Magdeburg , Max Planck Society , Max Delbruck Center for Molecular Medicine (MDC) , Martin Luther Universitat, Halle , Ludwig Maximilians Universiy Munich , Justus Liebig University, Gießen , Humboldt-Universität zu Berlin , FH Aachen , European Molecular Biology Laboratory (EMBL) , Eberhard Karls Universität Tübingen , Utrecht University , Radboud University Nijmegen , Maastricht Science Programme , Delft University of Technology
Organization Nanoparticle Systems Engineering Laboratory
Hosts Nissler Robert, Dr.
Topics Medical and Health Sciences , Engineering and Technology , Chemistry , Biology
NIR fluorescent sensor material development (1D / 2D materials)
Are you passionate about interdisciplinary, cutting-edge research that pushes the boundaries of biomedical technology? Join our team to develop material-based solutions for advanced biomedical applications! Our lab has recently pioneered a groundbreaking synthesis method to precisely control the chemical and optical properties of 2D copper tetrasilicate nanosheets. See Nißler et al. 2025 in Advanced Materials: https://advanced.onlinelibrary.wiley.com/doi/10.1002/adma.202503159 With outstanding fluorescence in the near-infrared (<900 nm), these nanosheets are paving the way for innovative applications in fluorescence imaging and sensing, driving a renewed excitement in nanoscience. You will synthesize and physico-chemically characterize novel 2D materials and optically active catalytic materials for NIR-fluorescent (bio)sensing applications.
Keywords
Interdisciplinary Research Cutting-edge Biomedical Technology Material-based Solutions Biomedical Applications 2D Nanomaterials Nanosheets Chemical Engineering Fluorescence Nanotechnology Applications in Biomedicine Fluorescence Sensor Development Advanced Optical Materials Material Engineering Engineering
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Semester Project , Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-07-22 , Earliest start: 2025-10-01
Applications limited to Empa , Zurich University of Applied Sciences , University of Zurich , University of St. Gallen , University of Lucerne , University of Lausanne , University of Geneva , University of Fribourg , University of Berne , University of Basel , Université de Neuchâtel , Università della Svizzera italiana , Swiss Federal Institute for Forest, Snow and Landscape Research , Zurich University of the Arts , Wyss Translational Center Zurich , Balgrist Campus , Berner Fachhochschule , Eawag , Department of Quantitative Biomedicine , EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , Fernfachhochschule , Forschungsinstitut für biologischen Landbau (FiBL) , Friedrich Miescher Institute , Hochschulmedizin Zürich , IBM Research Zurich Lab , Institute for Research in Biomedicine , Lucerne University of Applied Sciences and Arts , NGOs Switzerland , NCCR Democracy , Pädagogische Hochschule St.Gallen , Paul Scherrer Institute , Physikalisch-Meteorologisches Observatorium Davos , Sirm Institute for Regenerative Medicine , Swiss Institute of Bioinformatics , Swiss National Science Foundation , SystemsX.ch , Agroscope , [nothing] , Eberhard Karls Universität Tübingen , European Molecular Biology Laboratory (EMBL) , FH Aachen , Humboldt-Universität zu Berlin , Justus Liebig University, Gießen , Ludwig Maximilians Universiy Munich , Martin Luther Universitat, Halle , Max Delbruck Center for Molecular Medicine (MDC) , Max Planck Society , Otto Von Guericke Universitat, Magdeburg , RWTH Aachen University , Social Science Research Center Berlin , Technische Universität Hamburg , Technische Universität München , TU Berlin , TU Darmstadt , TU Dresden , Universität der Bundeswehr München , Universität Ulm , Universität zu Lübeck , University of Cologne , University of Erlangen-Nuremberg , University of Hamburg , University of Konstanz , Universtity of Bayreuth , Delft University of Technology , Maastricht Science Programme , Radboud University Nijmegen , Utrecht University
Organization Nanoparticle Systems Engineering Laboratory
Hosts Nissler Robert, Dr.
Topics Medical and Health Sciences , Engineering and Technology , Chemistry
Advancing Infection Theragnostics through 2D Materials
Are you ready to dive into interdisciplinary, innovative research at the forefront of infection theragnostics? Join our team to design advanced materials that could revolutionize the way infections are detected and treated! Our lab is focused on synthesizing and optimizing the surface chemistry of 2D materials to address pressing challenges in infection control and diagnostics. This project offers a unique chance to develop materials that can be engineered to detect, target, and treat infections effectively.
Keywords
Nanosensors Interdisciplinary Research Cutting-edge Biomedical Technology Material-based Solutions Biomedical Applications 2D Nanomaterials Nanosheets Chemical Engineering Fluorescence Nanotechnology Applications in Biomedicine Fluorescence Sensor Development Advanced Optical Materials Engineering Material Engineering 2D Materials Infections Infection sensors
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Semester Project , Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-07-22 , Earliest start: 2025-10-01
Applications limited to Agroscope , Balgrist Campus , Berner Fachhochschule , CERN , Corporates Switzerland , CSEM - Centre Suisse d'Electronique et Microtechnique , Eawag , Empa , EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , Fernfachhochschule , Forschungsinstitut für biologischen Landbau (FiBL) , Friedrich Miescher Institute , Hochschulmedizin Zürich , IBM Research Zurich Lab , Institute for Research in Biomedicine , Lucerne University of Applied Sciences and Arts , NCCR Democracy , NGOs Switzerland , Pädagogische Hochschule St.Gallen , Paul Scherrer Institute , Physikalisch-Meteorologisches Observatorium Davos , Sirm Institute for Regenerative Medicine , Swiss Federal Institute for Forest, Snow and Landscape Research , Swiss Institute of Bioinformatics , Swiss National Science Foundation , Università della Svizzera italiana , Université de Neuchâtel , University of Basel , University of Berne , University of Fribourg , University of Geneva , University of Lausanne , University of Lucerne , University of St. Gallen , University of Zurich , Wyss Translational Center Zurich , Zurich University of the Arts , Zurich University of Applied Sciences , Universtity of Bayreuth , University of Konstanz , University of Hamburg , University of Erlangen-Nuremberg , University of Cologne , Universität Ulm , Universität der Bundeswehr München , Universität zu Lübeck , TU Dresden , TU Darmstadt , TU Berlin , Technische Universität München , Technische Universität Hamburg , Social Science Research Center Berlin , RWTH Aachen University , Otto Von Guericke Universitat, Magdeburg , Max Planck Society , Max Delbruck Center for Molecular Medicine (MDC) , Martin Luther Universitat, Halle , Ludwig Maximilians Universiy Munich , Justus Liebig University, Gießen , Humboldt-Universität zu Berlin , FH Aachen , European Molecular Biology Laboratory (EMBL) , Eberhard Karls Universität Tübingen , Utrecht University , Radboud University Nijmegen , Maastricht Science Programme , Delft University of Technology
Organization Nanoparticle Systems Engineering Laboratory
Hosts Nissler Robert, Dr.
Topics Medical and Health Sciences , Engineering and Technology , Chemistry , Biology
Better View Learning Using RL
Selecting the right viewpoint is crucial for effective perception and task execution in robotics and autonomous systems. Traditional rule-based methods often struggle in complex or dynamic settings. This project explores reinforcement learning (RL) to enable agents to autonomously learn adaptive viewpoint selection strategies. By maximizing task performance and information gain, the resulting policies aim to enhance system efficiency in applications such as active perception, autonomous exploration, and intelligent robotic control.
Keywords
Active Perception, Optimal Viewpoint Learning, Reinforcement Learning, Robotic Manipulation
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Published since: 2025-07-21 , Earliest start: 2025-07-28 , Latest end: 2026-04-30
Organization Robotic Systems Lab
Hosts Zurbrügg René , Bhardwaj Arjun
Topics Information, Computing and Communication Sciences , Engineering and Technology
Reinforcement Learning for Loco-manipulation
This project aims to develop a reinforcement learning (RL) framework to enable quadruped robots to perform dynamic locomotion and manipulation simultaneously by leveraging advanced RL algorithms . We will develop control policies that can predict future states and rewards, enabling the robot to adapt its behavior on-the-fly. The primary focus will be on achieving stable and adaptive walking patterns while reaching and grasping objects. The outcome will provide insights into the integration of complex behaviors in robotic systems, with potential applications in service robotics and automated object handling.
Keywords
Robotics, quadrupeds, RL, AI,
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Master Thesis
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Published since: 2025-07-11 , Earliest start: 2025-07-31 , Latest end: 2026-01-31
Organization Robotic Systems Lab
Hosts Mirrazavi Sina
Topics Information, Computing and Communication Sciences , Engineering and Technology
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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Published since: 2025-07-11 , Earliest start: 2025-02-01 , Latest end: 2026-02-01
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: 2025-07-11 , Earliest start: 2025-02-01 , Latest end: 2026-02-01
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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Published since: 2025-07-11 , Earliest start: 2025-02-01 , Latest end: 2026-02-01
Organization Soft Robotics Lab
Hosts Mekkattu Manuel , Katzschmann Robert, Prof. Dr.
Topics Information, Computing and Communication Sciences , Engineering and Technology
Development of Modular Biodegradable Vertical Farming Panels for Sustainable Urban Agriculture using Additive Manufacturing/3D printing
Foam Additive Manufacturing (FAM) integrates 3D printing with physical blowing agents (PBAs) to produce lightweight, porous structures. The extrusion process, which involves a polymer-PBA solution, is critical for foam formation [1]. Bubble nucleation and growth occur due to rapid pressure drops and temperature changes within the extruder nozzle.
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This thesis proposes an integrated solution by developing: 1) Biodegradable Polymer Foamed Panels providing an interconnected porous substrate that decomposes naturally over time, eliminating plastic waste and optimizing water/nutrient transfer 2) Fungal Inoculation preventing pathogen contamination while enhancing microbial biodiversity and nutrient uptake.
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-07-10 , Earliest start: 2025-07-13 , Latest end: 2026-01-01
Organization Advanced Manufacturing Laboratory
Hosts Tosoratti Enrico
Topics Information, Computing and Communication Sciences , Engineering and Technology , Chemistry , Biology
Simulation of laser drilling process
This project aims to develop a physics- and data-driven simulation model for 5-axis pulsed laser drilling, enabling precise prediction of ablation volume, taper angle, and defect formation in various materials. The simulation will integrate helical and inclined drilling strategies and be validated against experimental data to support process optimization in advanced manufacturing.
Keywords
Laser, drilling, simulation, ablation
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Master Thesis
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Published since: 2025-07-09 , Earliest start: 2025-08-01 , Latest end: 2025-12-31
Organization Advanced Manufacturing Laboratory
Hosts Schröder Nikolai
Topics Engineering and Technology
Perceptive Bipedal‑Wheeled Locomotion Using Direct Depth‑Camera Inputs
Recent work [1] trains perceptive quadrupedal locomotion policies directly from depth images using teacher‑student distillation and RL fine‑tuning, achieving robust traversal over challenging terrain. The egocentric vision problem usually requires RL fine-tuning or more complex training schemes to enable active perception due to the information gap between teacher and student observations. This project aims to bring depth camera-based perceptive locomotion policies to a wheeled-bipedal robot. We believe that this might be more adequate than elevation map-based perception, due to the highly dynamic nature of its locomotion. We put high emphasis on novel training schemes to reduce the number of training phases. Initial inspiration could be drawn from [2]. References: [1]: https://arxiv.org/abs/2505.11164 [2]: https://arxiv.org/abs/2412.09149
Keywords
Perceptive locomotion · Depth camera · Bipedal‑wheeled Robot · End‑to‑end RL · Sim‑to‑real
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-07-09
Organization Robotic Systems Lab
Hosts Schwarke Clemens , Klemm Victor
Topics Information, Computing and Communication Sciences , Engineering and Technology
Learning Continuous-Time Feedback Laws for Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (HRL) typically operates by decomposing tasks into high-level planners and low-level controllers. While high-level policies often evolve at discrete timescales, the low-level controller must generate fast, robust behaviors. This is usually framed as feedback laws or motion trajectories. In this project, we propose to learn continuous-time dynamical systems in the form of ODEs as low-level feedback controllers. The idea is to learn an ordinary differential equation (ODE) whose integral curve realizes the low-level trajectory, or whose vector field provides feedback behavior. These models offer several advantages: they are interpretable, temporally coherent, and can generalize better under time perturbations. The student will implement and evaluate ODE-based controllers within a hierarchical RL setup and compare their performance against standard low-level policy architectures (e.g., feedforward MLPs, recurrent policies). We are also open to shape the projects in the context of operator learning. References as inspiration: https://arxiv.org/pdf/1806.07366 https://arxiv.org/pdf/1909.12077 https://arxiv.org/pdf/2006.04439 https://arxiv.org/pdf/2402.15715
Keywords
Reinforcement Learning, Neural ODEs, Feedback Control, Hierarchical Policies, Continuous-Time Policies, Operator Learning
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-07-07
Organization Robotic Systems Lab
Hosts Klemm Victor
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology