Projects & Theses
Below you find a collection of BSc and MSc projects and theses that can be carried out within the MaP community.
Single-cell Encapsulation for RNA Sequencing
This project focuses on understanding the metabolism of bacteria exposed to an enzymatic inhibitor. By employing microfluidic systems, we aim to perform a single-based encapsulation in hydrogel beads to be exposed to inhibitors. Using FACS-based sorting and bulk sequencing, bacteria in hydrogel beads will be sorted and the RNA from pool or individual beads will be extracted for sequencing. We aim to create an RNA sequencing protocol for sorted hydrogel beads containing bacteria to analyze the total gene expression profiles of our candidates.
Keywords
Keywords: Bacteria, RNA, droplets, microfluidic, high-throughput, hydrogel, gene expression, sequencing
Labels
Semester Project , Internship , Bachelor Thesis , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-07-30 , Earliest start: 2024-08-01 , Latest end: 2025-07-31
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.
Keywords
Keywords: Bacteria, pH, droplets, microfluidic, high-throughput.
Labels
Semester Project , Internship , Bachelor Thesis , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-07-30 , Earliest start: 2024-08-01 , Latest end: 2025-07-31
Organization Complex Materials
Hosts Enrriquez Nadia
Topics Medical and Health Sciences , Engineering and Technology , Biology
See Local, Think Global: Learning Terrain Changes for Robot Navigation
Many applications, such as wildlife monitoring or search and rescue, require agents to navigate long distances autonomously. Satellite data often provides valuable information on global traversability costs for initial path planning. However, when a robot hikes and observes the terrain locally, it can detect changes - such as fresh snow or muddy slopes - that significantly change the prior cost estimate. These changes are often not only relevant for the immediate surroundings of the robot, but have broader implications, such as full valleys being covered in snow. This motivates the need to propagate these local observations to improve global maps. The robot hereby does not need to do this blindly based on current experiences, but can utilize outdated satellite data to inform its prediction.
Keywords
Satellite Time-Series, Learning-based, Deep Learning, Spatio-Temporal Modeling, Generative Models, Remote Sensing, Legged Robotics
Labels
Semester Project , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-07-30 , Earliest start: 2025-08-01 , Latest end: 2026-04-30
Organization Robotic Systems Lab
Hosts Cramariuc Andrei , Richter Julia
Topics Information, Computing and Communication Sciences , Engineering and Technology
Learning-based Traversability Estimation from Experience
Traversability estimation is a critical component in path planning and navigation for mobile robots, especially for legged platforms like quadrupeds that can navigate diverse terrains. Traditionally, traversability estimation relies on data from onboard sensors such as RGB or stereo cameras. However, this approach limits the robot's awareness to its immediate surroundings. By utilizing satellite imagery, we can extend the robot's perception and perform long-range traversability estimation, enabling more efficient global path planning and exploration.
Keywords
Learning-based, Traversability, Navigation, Deep Learning, Legged Robots
Labels
Semester Project , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-07-30 , Earliest start: 2025-08-01 , Latest end: 2026-04-30
Organization Robotic Systems Lab
Hosts Cramariuc Andrei , Richter Julia
Topics Information, Computing and Communication Sciences
Learning to Follow Global Paths: Path-Aware RL-based Local Planning
Traditional local navigation relies on waypoint-based planning, where a human provides short-range waypoints (typically 5–30 meters ahead), and the robot navigates to them autonomously. This approach assumes that the waypoints are accurate and reachable. For navigating to distant goals, global planning is typically used to compute a path from satellite data. However, such global paths are coarse, and inaccurate and hence require the robot to intelligently adapt its local behavior to follow them. Simple waypoint tracking tends to break in these situations. One idea to solve this problem is by giving a local planner the full path instead of a look-ahead waypoint, in order to optimize local behavior to take into account the shape of the global path.
Keywords
Reinforcement Learning, Global Navigation, Local Navigation, Rewards, Legged Robots
Labels
Semester Project , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-07-30 , Earliest start: 2025-08-01
Organization Robotic Systems Lab
Hosts Richter Julia
Topics Information, Computing and Communication Sciences
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
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-07-30 , Earliest start: 2025-08-01
Applications limited to ETH Zurich , Max Planck ETH Center for Learning Systems , IDEA League , EPFL - Ecole Polytechnique Fédérale de Lausanne
Organization Robotic Systems Lab
Hosts Frey Jonas , Roth Pascal
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
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-07-30 , Earliest start: 2025-08-01
Applications limited to EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , IDEA League , Max Planck ETH Center for Learning Systems
Organization Robotic Systems Lab
Hosts Roth Pascal , Frey Jonas
Topics Information, Computing and Communication Sciences
Role of Platelets During Early Clot Formation Using Microfluidics
This interdisciplinary project investigates the interaction between platelet phenotypes and coagulation factors during early clot formation. The study integrates different tools such as microfluidic systems and live imaging pipelines at the Laboratory of Applied Mechanobiology, ETH Zurich (D-HEST).
Keywords
Platelets, Coagulation, Clot Formation, Microfluidics, Hematology, Live Imaging
Labels
Internship , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-29 , Earliest start: 2025-08-01 , Latest end: 2026-02-28
Organization Applied Mechanobiology - Prof. Viola Vogel
Hosts Strebel Anja
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.
Keywords
Keywords: particle simulation, omniverse, warp, reinforcement learning
Labels
Semester Project , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
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
Labels
Semester Project , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
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
Event-Based Tactile Sensor for Dexterous Robotic Hand
The project focuses on developing a high-resolution tactile sensor using a high-bandwidth, low-power event-based camera. The student will contribute to the hardware development of this sensor for integration into a human-scale robotic hand. Responsibilities include sensor fabrication, mechanical integration, and experimental validation.
Keywords
Tactile Sensor, Event-Based Camera, Dexterous Manipulation, Robotic Hand, Sensor Integration, Sensor
Labels
Semester Project , Bachelor Thesis , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-07-28 , Earliest start: 2025-08-01 , Latest end: 2026-02-01
Organization Soft Robotics Lab
Hosts Kim Jaehoon
Topics Engineering and Technology
Audio-based Simulation Training Automatic Analysis for Healthcare(Swiss-Australia)
This project requires physical presence at the University of Adelaide, Australia and may include a living-cost subsidy. It aims to develop an automated audio analysis system to support feedback in simulation-based medical training. Building on prior work (Debriefing Speakers), the system will process audio from student sessions to extract verbal cues, emotional tone, and team dynamics. These will be mapped to a validated coding scheme and used to generate visual overlays and structured debriefing feedback. The goal is to enhance feedback quality while reducing educator workload.
Keywords
AI for healthcare, audio analysis, machine learning, excahnge program
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-07-28 , Earliest start: 2026-01-12
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , University of Zurich
Organization pd|z Product Development Group Zurich
Hosts Wang Rui
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Behavioural and Cognitive Sciences
Firmware and Readout System for Joint and Tactile Sensing in Robotic Hands Using SoC Microcontrollers
The student will develop firmware for a system-on-chip (SoC) microcontroller to enable efficient readout of serialized sensor data in tendon-driven robotic hands. Tasks include analyzing existing readout methods, evaluating SoC architectures, implementing optimized firmware, and validating the system on development boards. Depending on the project scope, the student may also design a compact hardware platform integrating the chosen SoC and supporting components for a complete prototype.
Keywords
Embedded systems, Sensor integration, Robotic hands, Microcontroller, Data acquisition
Labels
Semester Project , Bachelor Thesis , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-07-28 , Earliest start: 2025-08-01
Organization Soft Robotics Lab
Hosts Kim Jaehoon
Topics Engineering and Technology
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
Labels
Semester Project , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-07-28
Organization Robotic Systems Lab
Hosts Klemm Victor , Qu Kaixian
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
Labels
Semester Project , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
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
Labels
Semester Project , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
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
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
Labels
Master Thesis
Description
Contact Details
More information
Published since: 2025-07-25 , Earliest start: 2025-09-14
Organization Biochemical Engineering (aP)
Hosts Schneider Timo
Topics Engineering and Technology , Chemistry
Morphologically adaptive end effector for legged robots
This hardware-focused project will build a variable-stiffness, shape-morphing material foot for the ANYmal robot that is both robust for locomotion and dexterous for interacting with objects.
Keywords
Robotics, Soft Robotics, Quadruped, Legged Robots, Materials Science, Mechanical Design, Machine Learning, AI
Labels
Semester Project , Bachelor Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-07-24 , Earliest start: 2025-08-01 , Latest end: 2026-05-01
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Krasnova Elena , Baines Robert
Topics Information, Computing and Communication Sciences , Engineering and Technology
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.
Keywords
Chemistry Material Science Chemical Engineering
Labels
Semester Project , Master Thesis , Master Project (D-MATL)
Description
Goal
Contact Details
More information
Published since: 2025-07-23 , Earliest start: 2025-09-01
Organization Multifunctional Materials
Hosts Lin Weyde
Topics Engineering and Technology , Chemistry
Orienting Objects the Right Way: Coordinating Whole-Body Pose and In-Hand Manipulation for Object Reorientation
This project explores how robots can coordinate in-hand manipulation with full-body movements to efficiently reorient objects. Inspired by human motor skills, the goal is to enable intelligent task distribution across a dexterous robotic hand, an arm, and whole-body posture. Using reinforcement learning, we aim to develop controllers that adaptively combine dexterous and whole-body strategies for effective object handling in complex environments.
Keywords
Whole-body Control, Dexterous Manipulation, Reinforcement Learning, Skill Learning
Labels
Semester Project , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-07-23 , Earliest start: 2025-08-01 , Latest end: 2026-04-30
Organization Robotic Systems Lab
Hosts Bhardwaj Arjun , Mittal Mayank , Portela Tifanny
Topics Information, Computing and Communication Sciences
Dynamic actuation for improved endoluminal navigation of magnetic continuum robots
We want to explore the use of dynamically changing magnetic fields to improve the navigation of magnetically actuated catheters and guidewires for endoluminal procedures. This project aims to build catheter prototypes and an experimental setup to evaluate this concept in vitro using anatomical models and state-of-the-art electromagnetic navigation systems.
Keywords
Mechatronics, Hardware Design, Programming
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-07-22 , Earliest start: 2025-09-01
Applications limited to ETH Zurich
Organization Multiscale Robotics Lab
Hosts Boehler Quentin , Mesot Alexandre
Topics Engineering and Technology
Semester Project: 3D Part Digitization
To enhance manufacturing processes, control systems are developed and integrated into the respective process chains. In order to assess the geometry of die-casted parts as well as for potential visual recognition of surface defects, an automated, image-based part digitization is to be developed and implemented.
Keywords
3D Scanning
Labels
Semester Project
Description
Goal
Contact Details
More information
Published since: 2025-07-22 , Earliest start: 2025-08-04 , Latest end: 2026-01-30
Organization Computational Modelling of Materials in Manufacturing
Hosts Koltzenburg Nils
Topics Engineering and Technology
Inline Quality Control with image analysis & AI
diaxxo, a start-up from ETH Zürich, is revolutionizing molecular diagnostics with a cutting-edge Point-of-Care PCR device. Their innovative technology facilitates rapid, accurate diagnostic testing across human, veterinary, and food applications, especially in developing countries. The PCR process amplifies DNA sequences to identify pathogens accurately. Key to diaxxo's system are specialized aluminum cartridges containing pre-loaded, dried reagents, essential for precise diagnostics. However, current manufacturing challenges in reagent loading and drying affect cartridge quality. The project aims to develop a Quality Control station using advanced imaging and AI to ensure accurate reagent placement and drying, enhancing diagnostic reliability and effectiveness.
Keywords
Image Analysis, AI Technology, High-Resolution Imaging, Visual Data, Quality Control (QC), Automated Decision Making, Defect Detection, Machine Learning, pattern Recognition, Real-Time Analysis
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-22 , 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
Implementation of Digital Image Correlation (DIC) for mechanical test monitoring
Development of an in-house DIC system for static and dynamic mono-axial mechanical testing using a open-source Python library (Pyxel). Implementation of the hardware (2 cameras and respective optics, holders, lights...), software (image acquisition, synchronization, processing, calibration of the system) and validation of the system.
Keywords
Digital Image Correlation Computer vision (OpenCV, NumPy, SciPy) Mechanical testing (strain field computation)
Labels
Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-22 , Earliest start: 2025-09-01 , Latest end: 2026-04-30
Organization Advanced Manufacturing
Hosts Martin Noémie
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
Labels
Semester Project , Internship , Master Thesis , ETH Zurich (ETHZ)
PLEASE LOG IN TO SEE DESCRIPTION
More information
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
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
Labels
Master Thesis
Description
Contact Details
More information
Published since: 2025-07-22 , 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
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
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Contact Details
More information
Published since: 2025-07-22 , Earliest start: 2025-07-23 , Latest end: 2026-12-31
Organization Multiscale Robotics Lab
Hosts Zughaibi Jasan
Topics Engineering and Technology
NIR fluorescent sensor material development (1D / 2D materials)
Are you passionate about interdisciplinary, cutting-edge research that pushes the boundaries of biomedical technology? Join our team to develop material-based solutions for advanced biomedical applications! Our lab has recently pioneered a groundbreaking synthesis method to precisely control the chemical and optical properties of 2D copper tetrasilicate nanosheets. See Nißler et al. 2025 in Advanced Materials: https://advanced.onlinelibrary.wiley.com/doi/10.1002/adma.202503159 With outstanding fluorescence in the near-infrared (<900 nm), these nanosheets are paving the way for innovative applications in fluorescence imaging and sensing, driving a renewed excitement in nanoscience. You will synthesize and physico-chemically characterize novel 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
Labels
Semester Project , Internship , Master Thesis , ETH Zurich (ETHZ)
PLEASE LOG IN TO SEE DESCRIPTION
More information
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
Labels
Semester Project , Internship , Master Thesis , ETH Zurich (ETHZ)
PLEASE LOG IN TO SEE DESCRIPTION
More information
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
Labels
Semester Project , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
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
Machine Learning Based Estimation of Blood Pressure from wearable sensors
This project explores the development and validation of an AI based system for non-invasive blood pressure estimation. The method focuses on deriving pulse transit time (PTT) using dual A-mode piezoelectric sensors (ultrasound) and characterizing vascular features such as arterial wall diameter and flow velocity. The work contributes toward a future wearable ultrasound-based solution for continuous cardiovascular monitoring.
Keywords
machine learning, deep learning, artificial intelligence, blood pressure, pulse transit time, vascular imaging, Doppler, heart rate, anxiety
Labels
Semester Project , Internship , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-17 , Earliest start: 2025-09-01 , Latest end: 2026-09-01
Organization Biomedical and Mobile Health Technology Lab
Hosts Otesteanu Corin, Dr
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Computer Vision Driven Manufacturing Process Optimazation for Household Appliances
Join a cutting-edge industrial research collaboration between ETH Zurich and V-ZUG AG, Switzerland’s leader in premium household appliances. Apply your skills in computer vision, machine learning, and AI to enable and realize novel manufacturing processes for next-generation production environments.
Labels
Semester Project , Internship , Master Thesis
The Project
Your Task
You have...
About pd|z
Facts
Contact Details
More information
Published since: 2025-07-17 , Earliest start: 2025-10-01 , Latest end: 2026-03-31
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , Zurich University of Applied Sciences , University of Zurich
Organization pd|z Product Development Group Zurich
Hosts von Hopffgarten Arne
Topics Information, Computing and Communication Sciences , Engineering and Technology
Machine Learning for Non-Invasive Smart Temperature Monitoring in High-Vacuum Systems
Join a cutting-edge industrial research collaboration between ETH Zurich and VAT Group, the global leader in high-performance vacuum technology. Apply your skills in machine learning, sensor fusion, and embedded systems to prototype a novel, non-invasive temperature monitoring platform for next-generation vacuum systems.
Labels
Semester Project , Internship , Master Thesis
The Project
Your Task
You have...
About pd|z
Facts
Contact Details
More information
Published since: 2025-07-17 , Earliest start: 2025-10-01 , Latest end: 2026-03-31
Applications limited to EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , Zurich University of Applied Sciences , University of Zurich
Organization pd|z Product Development Group Zurich
Hosts von Hopffgarten Arne
Topics Information, Computing and Communication Sciences , Engineering and Technology , Physics
Activity and fatigue detection using machine learning based on real-world data from smart clothing
The aim of this project is to use machine learning methods to extract useful information such as activity type and fatigue level from real-world data acquired from our textile-based wearable technology during sport activities.
Keywords
smart clothing, wearable technology, textile sensor, fitness tracking, sports medicine, fatigue, machine learning, artificial intelligence, computer science
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-17 , Earliest start: 2025-07-01 , Latest end: 2026-03-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Ahmadizadeh Chakaveh
Topics Information, Computing and Communication Sciences , 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
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-17 , 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
Enhancing Porosity in Electrospun Scaffolds via Dual-Nozzle Fabrication with Sacrificial Materials
Electrospinning is a widely used technique for fabricating fibrous scaffolds that mimic the extracellular matrix of native cartilage. However, conventional electrospun scaffolds often suffer from poor cell infiltration due to their dense and randomly organized fiber networks. This project aims to improve scaffold porosity by implementing a dual-nozzle electrospinning approach, combining a structural polymer (e.g., PCL) with a sacrificial material that can later be removed to create larger interconnected pores. The master’s student will optimize the fabrication process, develop a protocol for selective material removal, and characterize the resulting scaffolds. This work supports the development of more functional and biologically relevant synthetic analogs for cartilage tissue engineering.
Keywords
Cartilage Tissue Engineering Biofabrication Electrospinning Biomaterials
Labels
Semester Project , Internship , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-16 , Earliest start: 2025-09-01
Organization Tissue Mechanobiology
Hosts Bissacco Elisa
Topics Engineering and Technology
Automated Cartridge Loading Station for Point-of-Care PCR in a medtech startup
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. We are developing a high-throughput cartridge loading station to support our Point-of-Care PCR platform. This station will automate liquid dispensing into our cartridges, ensuring speed, and reliability. Key features: - Real-time feedback for quality assurance - High throughput - Integration capabilities with existing production workflows.
Keywords
liquid dispensing, cartridge filling, high throughput, automation, quality control, diagnostics, feedback system, PCR, manufacturing, Diaxxo
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-16 , Earliest start: 2025-06-19 , Latest end: 2026-05-31
Organization Functional Materials Laboratory
Hosts Gregorini Michele
Topics Information, Computing and Communication Sciences , Engineering and Technology
Fully funded Postdoctoral Opportunity in MedTech Startup “diaxxo” (CH)
Diaxxo AG, a Zurich-based medtech startup pioneering rapid PCR diagnostics, is seeking a motivated postdoctoral researcher to apply for a fully funded MSCA Postdoctoral Fellowship (12–24 months). This is a unique opportunity to lead a high-impact research project in diagnostics, personalized medicine, or digital health within an innovative startup environment. Open to PhD holders (≤8 years post-PhD) from all disciplines, the position offers hands-on R&D, cross-disciplinary collaboration, and support in proposal co-writing. Apply by 4 August 2025 to join our mission to make diagnostics faster, smarter, and more accessible.
Keywords
MSCA Postdoctoral Fellowship, molecular diagnostics, rapid PCR, point-of-care testing, biomedical engineering, precision medicine, integrated diagnostics, bioinformatics, AI in healthcare, digital health, startup research, translational research, personalized medicine, assay development, medtech innovation, computational biology, clinical diagnostics, interdisciplinary collaboration, early-career researcher, postdoctoral opportunity
Labels
Post-Doc Position
Description
Goal
Contact Details
More information
Published since: 2025-07-16 , Earliest start: 2025-09-01 , Latest end: 2026-12-31
Organization Functional Materials Laboratory
Hosts Gregorini Michele
Topics Engineering and Technology , Biology
Adapting Open-Source G-Code Tools for Customized Melt Electrowriting of Cartilage Scaffolds
We are seeking a motivated and technically inclined master’s student to join our research team in the optimization of melt electrowriting (MEW) for cartilage tissue engineering. MEW is an emerging additive manufacturing technique that enables the fabrication of micro- and nanoscale scaffolds with highly controlled architectures, ideally suited for mimicking the extracellular matrix of native cartilage. Our group employs a custom-built MEW device for scaffold fabrication, historically operated via proprietary software. To enhance design flexibility and streamline G-code generation, this project focuses on adapting an open-source, MATLAB-based G-code tool developed by international collaborators. The student will analyze and modify the existing tool to ensure compatibility with our specific MEW setup, followed by experimental validation through scaffold printing and performance testing. In the context of a master’s thesis, the adapted tool will also be used to fabricate advanced scaffold geometries to support downstream biological studies. This interdisciplinary project offers hands-on experience in biofabrication, programming, and tissue engineering, contributing to the development of next-generation therapies for osteoarthritis.
Keywords
Tissue engineering Biofabrication Biomaterials Coding
Labels
Semester Project , Internship , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-16 , Earliest start: 2025-09-01
Organization Tissue Mechanobiology
Hosts Bissacco Elisa , Amicone Alessio
Topics Engineering and Technology
Open Position - Production work - MedTech Startup
Diaxxo is seeking a motivated part-time team member to support the assembly of devices and cartridges at our lab in Zürich. You’ll get to work directly on the production of cutting-edge diagnostic tools in a fast-paced startup environment. Some lab or technical experience would be great — but above all, we value motivation, reliability, and a willingness to learn. Come build the future of diagnostics with us!
Keywords
Diagnostics PCR Technology Innovation Start-up Biotechnology Viral Detection Quality Control Device Assembly Healthcare Startup Hardware Electrical
Labels
Collaboration , Internship , Student Assistant / HiWi , ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2025-07-16 , Earliest start: 2025-05-01 , Latest end: 2025-12-31
Organization Functional Materials Laboratory
Hosts Gregorini Michele
Topics Medical and Health Sciences , Engineering and Technology , Chemistry
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
Labels
Semester Project , Internship , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-16 , 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
Force-Adaptive Control for Legged Robots
In this work, we plan to integrate the aforementioned approach into our existing robotic end-effector tracking controllers to enable direct control over compliance and forceful manipulation. We aim to apply this approach to practical tasks such as motherboard assembly, robotic drilling, and dynamic demonstrations like Tug-of-War to highlight precision, forceful manipulation, and compliant control.
Keywords
Robotics; ML; RL; PPO; Reinforcement Learning; Simulation
Labels
Semester Project , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-07-15 , Earliest start: 2025-07-21
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Elanjimattathil Aravind , Portela Tifanny
Topics Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences
Enhancing Cell Compatibility of Melt-Electrowritten PCL Scaffolds for Articular Cartilage Regeneration: Investigating the Influence of NaOH Treatment
Osteoarthritis (OA) is a widespread degenerative joint disease characterized by the progressive breakdown of articular cartilage, resulting in pain, stiffness, and reduced mobility. Current clinical treatments fail to fully restore the structural and functional properties of native cartilage, highlighting the need for innovative tissue engineering strategies. This project focuses on the development and surface modification of polycaprolactone (PCL) scaffolds fabricated by melt electrowriting (MEW)—a technique that enables the creation of highly organized, microscale fibrous architectures suitable for cartilage regeneration. While PCL is widely used for scaffold fabrication due to its biocompatibility and mechanical properties, its hydrophobic surface limits cellular attachment and function, particularly for sensitive cell types such as chondrocytes. To address this, the project investigates the effect of alkaline surface treatment using sodium hydroxide (NaOH) on the morphology, hydrophilicity, and biological performance of MEW scaffolds. The study systematically varies NaOH concentration and exposure time to evaluate the resulting changes in chondrocyte viability and extracellular matrix (ECM) production, including key markers like glycosaminoglycans (GAGs) and collagen. The goal is to determine whether NaOH treatment can enhance scaffold–cell interactions without compromising structural integrity, ultimately supporting the development of a more effective platform for cartilage tissue engineering. The project combines scaffold fabrication, surface chemistry, and biological assays to provide a comprehensive understanding of how surface modifications influence chondrocyte behavior and tissue formation within a defined 3D microenvironment.
Keywords
Cartilage Tissue Engineering Melt-electrowriting Biomaterials Surface Modification
Labels
Semester Project , Internship , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-15 , Earliest start: 2025-09-01
Organization Tissue Mechanobiology
Hosts Bissacco Elisa
Topics Engineering and Technology
Whole-body tactile sensing in RL for dynamic robot skills
This machine learning-focused thesis will investigate the importance of distributed whole-body contact sensing in performing diverse tasks. Current dynamic reinforcement learning (RL) -based controllers rely heavily on 3D perception, which is ill-suited for many tasks and robot morphologies.
Keywords
reinforcement learning; tactile sensing; simulation; quadrupeds; machine learning;
Labels
Semester Project , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-07-15 , Earliest start: 2025-07-15
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne
Organization Robotic Systems Lab
Hosts Baines Robert , Cramariuc Andrei
Topics Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences
Multiscale Scaffold Design for Osteoarthritis Treatment: A Comparative Study of Hydrogel Pore Formation and Visualization Strategies
Osteoarthritis (OA) is a progressive joint disorder characterized by the degradation of articular cartilage, affecting millions of individuals worldwide and posing a significant clinical and socioeconomic burden. Current treatment strategies remain limited in their ability to restore the structural and functional integrity of damaged cartilage. This project aims to engineer a biomimetic multiscale scaffold that combines fibrous and hydrogel components to replicate the hierarchical architecture and mechanical behavior of native cartilage tissue. The fibrous framework is fabricated using solution electrospinning (SES) and melt electrowriting (MEW) to integrate nanoscale and microscale features, respectively, thereby enhancing mechanical strength and guiding cellular organization. The fibrous network is embedded within a macroporous hydrogel matrix, designed to support high water content and efficient nutrient transport while promoting cell viability and matrix production. A central focus of the project is the optimization of hydrogel pore architecture using two approaches: cryogelation and porogen incorporation. These methods will be systematically compared to determine their effectiveness in creating interconnected pore networks. To evaluate and visualize gel structure under physiologically relevant (hydrated) conditions, the project will establish a fluorescent labeling and confocal microscopy protocol, enabling detailed pore size and distribution analysis. The final composite constructs will be characterized morphologically, mechanically, and biologically, including testing with human chondrocytes to assess cytocompatibility and extracellular matrix production. This work aims to contribute to the development of next-generation scaffolds for cartilage tissue regeneration, offering a promising approach toward functional repair of osteoarthritic joints.
Keywords
Cartilage Tissue Engineering Biomaterials Hydrrogels
Labels
Semester Project , Internship , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-15 , Earliest start: 2025-09-01
Organization Tissue Mechanobiology
Hosts Bissacco Elisa
Topics Engineering and Technology
Hand Gesture Recognition Using High-Density Surface Electromyography (HD-sEMG
The project aims to develop machine learning models for real-time hand gesture recognition using high-density surface electromyography (HD-sEMG) signals. This research focuses on improving neuroprosthetic control and rehabilitation by accurately decoding hand movements from HD-sEMG data.
Keywords
HD-sEMG, neuroprosthetics, biosignal monitoring, machine learning, hand gesture recognition, rehabilitation
Labels
ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2025-07-11
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
Labels
ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2025-07-11
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
Labels
ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2025-07-11
Organization Biomedical and Mobile Health Technology Lab
Hosts Qi Shuaixin
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Sensorized robot links for distributed contact state estimation
This hardware-focused thesis will build a distributed contact sensing system that can be outfitted to robot links so that it can use information about whole-body contacts with the environment to accomplish new, dynamic tasks.
Keywords
Hardware design, robotics, sensing, tactile sensors, AI, reinforcement learning, humanoids, quadrupeds
Labels
Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-07-11 , Earliest start: 2025-07-14 , Latest end: 2026-05-18
Applications limited to ETH Zurich , [nothing]
Organization Robotic Systems Lab
Hosts Cramariuc Andrei , Baines Robert
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,
Labels
Master Thesis
Work Packages
Requirements
Contact Details
More information
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
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
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
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
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
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
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
Enhancing Interlayer Integration and Mechanical Properties in Electrospun and Melt-Electrowritten Scaffolds
This project focuses on improving the mechanical performance and interlayer integration of multiscale scaffolds for articular cartilage tissue engineering. By combining solution electrospinning (SES) and melt electrowriting (MEW), the study aims to fabricate layered fibrous constructs with enhanced structural integrity. A key objective is to explore annealing as a post-processing technique to strengthen the interface between electrospun and MEW layers, addressing a common limitation in scaffold delamination. Morphological and mechanical properties will be assessed through scanning electron microscopy and mechanical testing, with optional biological evaluation using bovine chondrocytes. We are seeking a motivated master's student to contribute to scaffold fabrication, characterization, and cell-based studies within this interdisciplinary research project.
Keywords
Cartilage Tissue engineering Solution Electrospinning Meltelectrowriting Biofabrication Biomaterials
Labels
Semester Project , Internship , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-10 , Earliest start: 2025-09-01
Organization Tissue Mechanobiology
Hosts Bissacco Elisa
Topics Engineering and Technology
Optimization of Electrospinning and Melt-Electrowriting Parameters with a new triblock copolymer
Osteoarthritis (OA), the most prevalent musculoskeletal disorder, leads to degeneration of synovial joints, including articular cartilage. While solution electrospinning (SES) and melt electrowriting (MEW) of poly(ε-caprolactone) (PCL) have shown promise for fabricating fibrous scaffolds for cartilage repair, PCL's low elasticity and slow degradation hinder clinical translation. This project explores a new triblock copolymer, PLLA-b-PCL-b-PLLA, to overcome these limitations. The research aims to optimize SES and MEW parameters and enhance mechanical integrity through annealing of multiscale scaffolds. Scaffold morphology and mechanics will be assessed via SEM and mechanical testing, while biological performance will be evaluated using bovine chondrocytes. The project offers a master's student the opportunity to contribute to the development of improved biomimetic scaffolds for cartilage regeneration.
Keywords
Cartilage Tissue Engineering Solution Electrospinning Meltelectrowriting Biomaterials Biofabrication
Labels
Semester Project , Internship , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-10 , Earliest start: 2025-09-01
Organization Tissue Mechanobiology
Hosts Bissacco Elisa
Topics Engineering and Technology
Quadruped Glider Feasibility Study
Nature offers elegant examples of energy-efficient aerial locomotion through gliding animals such as flying squirrels and sugar gliders. Inspired by these creatures, this project explores the feasibility of a quadruped robot capable of transitioning from (wheeled-)legged locomotion to gliding flight. This study focuses on a practical first step: mounting a deployable wing on top of a quadruped robot, such as the Unitree Go2. The robot would walk or climb to an elevated launch point, deploy its glider, and perform a controlled passive glide. This opens the door for future hybrid locomotion platforms capable of efficiently navigating both rough ground and long aerial descents. The student(s) will evaluate aerodynamic feasibility through glider performance modeling (e.g., glide ratio, sink rate, stall speed), simulate integration with a quadruped platform, and explore deployment and stability challenges. If viable, preliminary hardware evaluations using off-the-shelf components could be considered. The project also leaves room for long-term vision: future iterations may investigate more integrated, bioinspired control surfaces, should the base platform prove successful, such as membranes between limbs. When done as a two-person project, one student can focus on flight dynamics and aerodynamic simulation, while the other focuses on mechanical integration and physical feasibility. The long-term goal is to assess whether a high-fidelity real-world prototype could be achievable and valuable in robotic exploration or rescue operations.
Keywords
Quadruped Locomotion, Fixed-Wing Flight, Bioinspired Robotics, Passive Gliding, Deployable Wings, Hybrid Mobility, Simulation, Robot Design
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-07-10
Organization Robotic Systems Lab
Hosts Fischer Oliver , Klemm Victor , Rohr David
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.
Keywords
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.
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
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
Labels
Master Thesis
Description
Goal
Contact Details
More information
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
Simulation-Based Design of a Cryogenic Cooling Nozzle for Laser Deposition Brazing
This Master’s thesis focuses on the simulation-based design and optimization of a cryogenic multi-jet cooling nozzle for laser deposition brazing (LDB) of white metal bimetal bearings. These bearings, composed of a steel backing and a white metal tribological layer, are used in high-performance applications due to their low friction and high conformability. However, LDB of low-melting-point white metals poses thermal challenges that can be mitigated through cryogenic spray cooling. The project involves CFD simulation setup using tools like OpenFOAM or ANSYS, systematic variation of nozzle design parameters, and optimization of performance metrics such as cooling area and working distance. The goal is to develop and validate an efficient nozzle design that ensures stable, real-time thermal control during the LDB process.
Keywords
Computational Fluid Dynamics (CFD) Simulation Multiphase flow Gas jet modeling Additive Manufacturing Laser Cladding Advanced Manufacturing Design Optimization Cryogenic Spray Cooling Active Cooling
Labels
Semester Project , Master Thesis , ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2025-07-09 , Earliest start: 2025-08-10 , Latest end: 2026-04-30
Organization Advanced Manufacturing
Hosts Neff Luis
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
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-07-09
Organization Robotic Systems Lab
Hosts Schwarke Clemens , Klemm Victor
Topics Information, Computing and Communication Sciences , Engineering and Technology
Artificial intelligence for anxiety level classification using data from wearable devices
The aim of this project is to study the feasibility of using wearable devices for anxiety detection using machine learning models. By creating a robust framework for continuous monitoring and early assessment, it has the potential to meaningfully impact the users wellbeing.
Keywords
wearable technology, anxiety monitoring, health tracking, machine learning, artificial intelligence
Labels
Semester Project , Internship , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-09 , Earliest start: 2025-08-01 , Latest end: 2026-06-01
Organization Biomedical and Mobile Health Technology Lab
Hosts Otesteanu Corin, Dr
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
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 detection
Labels
Semester Project , Internship , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-09 , 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
Bio-Based Transparent Wood
Transparent wood (TW) is an emerging optical material, but current methods rely on fossil-based polymers, leading to haze and environmental issues. This project introduces a fully bio-based transparent wood utilizing a natural resin, offering superior optical properties and sustainability. As a student, you'll contribute to this innovative research, exploring characterization techniques from optical analysis to sustainability assessment. This project, perfect for a Master's or project, represents a significant step towards sustainable optical materials.
Keywords
Wood, Transparent Wood, Material Science, Sustainable Optical Materials
Labels
Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2025-07-08 , Earliest start: 2025-09-01 , Latest end: 2026-07-01
Organization Wood Materials Science (Prof. Burgert)
Hosts Vivas Dan
Topics 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
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-07-07
Organization Robotic Systems Lab
Hosts Klemm Victor
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Generative Adversarial Networks for Autonomous Tool Wear Assessment
Tool wear has a significant impact on the productivity of machining processes. Currently, tools are replaced based on an estimate of their remaining life, often with significant safety margins that lead to inefficiency. Developments are underway to measure wear automatically by image segmentation of microscope images. Increasing the size of the training data set has a positive effect on the perfor-mance and robustness of deep learning systems. However, when it comes to tool wear, datasets are not openly available and are expensive and time consuming to create. This thesis builds on an existing segmentation pipeline and dataset of labeled wear images.
Keywords
Machining, machine tools, machine learning, computer vision
Labels
Master Thesis , ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2025-07-07 , Earliest start: 2025-07-14 , Latest end: 2026-03-31
Organization Computational Modelling of Materials in Manufacturing
Hosts Zwicker Ruben
Topics Information, Computing and Communication Sciences , Engineering and Technology
Rigid Body Dynamics as Sum of Squares: Reformulation and Investigation with Optimality Certificates
Rigid-body dynamics are foundational to robotics and mechanical systems. Surprisingly, although their equations often contain trigonometric or rational terms, they can typically be reformulated as (rational) polynomial systems. This opens the door to a powerful toolset: Sum-of-Squares (SOS) optimization. In this project, the student will explore how to reformulate the equations of rigid-body systems into polynomial forms suitable for SOS-based analysis (or its dual, the moment hierarchy). Through this lens, many classic robotics problems, such as verifying the global stability of visuomotor controller [1] or certifying optimality of solutions [2], can be recast as (convex) optimization problems. This project will investigate how far these methods scale: Can we extend them to complex robots? Can we prove properties like exponential stability or generate globally valid Lyapunov functions for general mechanical systems? Can we extract optimality certificates for complex dynamic trajectories? The student will implement tools for converting rigid-body models (e.g., simple pendulums, planar robots) into their polynomial equivalents, and then apply SOS programming and S-procedure techniques to verify Lyapunov stability or derive optimal controllers. References: [1] G. Chou and R. Tedrake, “Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization,” in IEEE Conference on Decision and Control (CDC), 2023. doi: 10.48550/arXiv.2304.12405. [2] S. Teng, A. Jasour, R. Vasudevan, and M. Jadidi, “Convex Geometric Motion Planning on Lie Groups via Moment Relaxation,” in Robotics: Science and Systems XIX, 2023. doi: 10.15607/RSS.2023.XIX.058.
Keywords
Rigid-Body Dynamics, Polynomial Systems, SOS Optimization, Lyapunov Stability, Convex Programming
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-07-07
Organization Robotic Systems Lab
Hosts Klemm Victor
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Precipitation-Based Processing of Lactide Copolymers for Shape Memory Polymer Development
Shape memory polymers (SMPs) are advanced materials capable of returning to their original shape when exposed to external stimuli such as heat or stress. Lactide copolymers, derived from renewable resources, are particularly attractive for SMP applications due to their tunable mechanical properties, thermal responsiveness, and biocompatibility. Optimizing precipitation-based processing techniques is critical to unlocking the full potential of lactide copolymers for advanced applications.
Labels
Semester Project , Collaboration , Internship , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2025-07-07 , Earliest start: 2025-01-01 , Latest end: 2026-02-01
Organization Advanced Manufacturing Laboratory
Hosts Tosoratti Enrico
Topics Agricultural, Veterinary and Environmental Sciences , Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Education , Earth Sciences , Chemistry , Biology , Architecture, Urban Environment and Building
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
Labels
Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-07 , Earliest start: 2024-09-01 , Latest end: 2025-09-30
Organization Biomedical and Mobile Health Technology Lab
Hosts Shokurov Aleksandr
Topics Medical and Health Sciences , 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
Labels
Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-07 , Earliest start: 2025-01-01 , Latest end: 2025-10-01
Organization Biomedical and Mobile Health Technology Lab
Hosts Shokurov Aleksandr
Topics Medical and Health Sciences , Engineering and Technology , Chemistry
Wearable 2D Capacitive Auxetic Structures for Motion Monitoring
The aim of this project is to develop a single sensor capable of measuring both unidirectional strain and bending angle.
Keywords
wearable, flexible electronics, 3D printing, capacitive strain sensors
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-06 , Earliest start: 2025-08-01 , Latest end: 2026-12-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Kateb Pierre
Topics Engineering and Technology
Wearable kirigami antenna for motion monitoring
The aim of the project is to develop a simple method for fabrication of kirigami-inspired laser-cut or molded antennas on flexible substrates. This technology will enable advancements in wearable electronics for wireless communication and sensing applications.
Keywords
wearable, flexible electronics, kirigami, laser cutting, 3D printing, antenna design, conductivity, wireless communication
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-06 , Earliest start: 2025-03-24 , Latest end: 2026-08-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Kateb Pierre
Topics Engineering and Technology
Deep Reinforcement Learning to Control Microrobots in 3D Dynamic Flow Environments
Identifying effective control strategies for the automation of acoustic robotic systems is challenging in a microfluidic environment. This project focuses on reinforcement learning (RL) to control microrobots in chaotic microfluidic flow and vortices.
Keywords
Reinforcement learning, Artificial Intelligence, Ultrasound, Fluid control
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-05 , Earliest start: 2025-07-01 , Latest end: 2025-10-31
Organization Acoustic Robotics for Life Sciences and Healthcare (ARSL)
Hosts Medany Mahmoud
Topics Information, Computing and Communication Sciences , Engineering and Technology
Development of a pH sensitive gel for cell culture systems
Measuring pH is paramount when studying cells as even small changes around the cells can tell us a lot about their current state. By investigating this environment, we can learn more about how cells work. This project looks at a special gel which changes its optical properties (changes its color) based on spatial pH changes. Using the gel, cell states can be assessed in real time.
Keywords
Chemistry, Polymerisation, Cell Cultures, Hydrogels, pH, Sensor
Labels
Bachelor Thesis , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-07-04 , Earliest start: 2025-07-01 , Latest end: 2026-07-01
Organization Macromolecular Engineering Laboratory
Hosts Binz Jonas
Topics Engineering and Technology , Biology
Real-Time Delay-Adaptive RL Policy for Autonomous Excavation
Gravis Robotics is an ETH spinoff from the Robotic Systems Lab (RSL) working on the automation of heavy machinery (https://gravisrobotics.com/). In this project, you will be working with the Gravis team to develop an RL digging policy that adapts to large and continuously changing time delays. You will conduct your project at Gravis with joint supervision with RSL.
Keywords
Reinforcement Learning Sim2Real
Labels
Semester Project , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-07-04 , Earliest start: 2025-09-01 , Latest end: 2026-09-01
Organization Robotic Systems Lab
Hosts Egli Pascal Arturo
Topics Engineering and Technology
Humanoid robot ladder climbing via learning from demonstrations
This thesis will employ learning from demonstration to enable a humanoid robot to climb ladders. The student will gain hands-on experience with cutting-edge machine learning, sim2real pipelines, and humanoid robot hardware.
Keywords
Humanoids, learning from demonstrations, imitation learning, reinforcement learning, simulation, legged robotics, control, robot, sim2real
Labels
Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-07-03 , Earliest start: 2025-07-21 , Latest end: 2026-05-01
Organization Robotic Systems Lab
Hosts Li Chenhao , Baines Robert , Hansson Alexander
Topics Information, Computing and Communication Sciences , Engineering and Technology
Efficient Design Optimization of Energy Modulators for Proton-Beam Therapy
Development of an EM modulator optimization framework that covers clinically realistic application scenarios.
Keywords
Computational Design, Structural Optimization, Proton-Beam Therapy, Energy Modulators
Labels
Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-07-03 , Earliest start: 2025-09-15
Organization Engineering Design and Computing Laboratory
Hosts Stankovic Tino
Topics Mathematical Sciences , Engineering and Technology , Physics
3D-Printed Hydrogel-Based Composites with Engineered Core–Shell Magnetoelectric Networks For Biomedical Applications.
Magnetoelectric materials are highly promising in biomedicine due to their unique ability to couple magnetic and electric fields. This coupling allows for remote and precise control of various biological processes. For instance, in drug delivery, magnetoelectric nanoparticles can be directed to specific locations within the body using an external magnetic field, followed by electrical stimulation to trigger the release of therapeutic agents. Their responsiveness and multifunctionality make magnetoelectrics a versatile tool in advancing non-invasive medical treatments and targeted therapies. In this project we aim to improve the core-shell architecture of the magnetoelectric nanoparticles (ME NPs). Afterwards, a reliable protocol to create a homogenous and colloidally stable inks (i.e. mixture of the ME NPs and a hydrogel) will be established. The ink formulation will be tested within the custom-made 3D printer. Finally, multifunctional composites will be fabricated and tested for the brain tissue stimulation.
Keywords
Nanoparticle, Iron Oxide, Barium Titanate, Surface engineering, Ink formulation, Additive Manufacturing, Digital Light Processing, Brain Tissue, Wireless Stimulation
Labels
Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-07-02 , Earliest start: 2025-07-02 , Latest end: 2026-03-31
Applications limited to ETH Zurich
Organization Multiscale Robotics Lab
Hosts Pustovalov Vitaly
Topics Engineering and Technology , Chemistry , Biology
Learning Acrobatic Excavator Maneuvers
Gravis Robotics is an ETH spinoff from the Robotic Systems Lab (RSL) working on the automation of heavy machinery (https://gravisrobotics.com/). In this project you will be working with the Gravis team to develop an algorithm that allows a 25-ton excavator to perform an acrobatics maneuver, the jump turn.
Labels
Semester Project , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-07-02 , Earliest start: 2025-08-01 , Latest end: 2025-12-01
Organization Robotic Systems Lab
Hosts Egli Pascal Arturo , Zhang Weixuan , Eyschen Pol
Topics Engineering and Technology
Thesis at the Exploration Lab - join an agile innovation task force; find needs, build prototypes, & more (Multiple industry partners!)
ETH Zürich's Feasibility Lab is partnering with leading industry players to offer a unique thesis opportunity. You'll have the freedom to choose from a diverse range of real-world projects across multiple companies, based on your individual interests.
Keywords
usability, high-tech, rapid prototyping, sustainability, industrial automation, mechanical design, mechanical engineering, automation, process design, robotics, machine learning, applied AI, food processing, advanced materials
Labels
Semester Project , Master Thesis , ETH Zurich (ETHZ)
The Project
Your Task
You have...
About pd|z
Facts
Contact Details
More information
Published since: 2025-07-02 , Earliest start: 2025-10-01 , Latest end: 2026-04-05
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , Zurich University of Applied Sciences
Organization pd|z Product Development Group Zurich
Hosts von Hopffgarten Arne , von Petersdorff-Campen Kai
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
Labels
Semester Project , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-07-01 , 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
High-speed imaging of bubble dynamics using dynamic vision sensing
This project requires the calibration of event cameras to optimize high-speed imaging processes for laboratory visualization of bubble dynamics. See the project description for further details.
Keywords
high-speed imaging; bubble dynamics; laser induced bubble collapse
Labels
Semester Project
Description
Goal
Contact Details
More information
Published since: 2025-07-01 , Earliest start: 2025-09-01 , Latest end: 2025-12-19
Organization Group Supponen
Hosts Brewer Cameron , Collado Gonzalo
Topics Engineering and Technology
Ultrasound-driven dynamics of confined microbubbles in capillary-scale hydrogel microchannel networks
Coated microbubbles are commercially available and clinically approved ultrasound contrast agents used in ultrasound imaging to enhance imaging contrast when injected systemically, thereby improving diagnostic capabilities. Recently, microbubbles have been proposed as therapeutic agents for targeted drug delivery. In order to reliably characterise these agents, suitable in vitro phantoms that mimic the mechanical properties of vascular networks are required to study the dynamics of microbubbles in a confined environment.
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-07-01
Applications limited to ETH Zurich
Organization Group Supponen
Hosts Guerriero Giulia
Topics Engineering and Technology
Small-batch produciton automation with Cobot
Most automated production relies on high number and uniformity of produced items, because of prohibiting fixed an programming costs. However, "Industrie 4.0" calls for more flexibility and customizability in the product, necssitating an easy way to transfer tasks to a robot in a short amount of time. To this end, we will explore the usage of a cobot (Franka Research 3) for an indistrial case study.
Keywords
Robotics, Automation, Control, Path Planning, Intelligent Systems
Labels
Semester Project , Bachelor Thesis , Master Thesis
The Project
Your Task
You have...
Contact Details
More information
Published since: 2025-07-01 , Earliest start: 2025-09-01 , Latest end: 2025-12-31
Organization pd|z Product Development Group Zurich
Hosts Gimeno Lucas
Topics Engineering and Technology
Stable Friction Compensation with Impedance/Admittance Control under Virtual Inertia using DeePC
Background: When using Impdeance/Admittance or other control methods allowing (low) virtual inertias (robot feels lighter than it is), noise in the force readout or friction torques accidentally detected as external forces can cause instability. Also integrator-based appraoches can have this problem. The goal of this Thesis is to create a friciton compensation algorithm for the FR3 robot to increase it's precision and stability using Data-Enabled-Predictive Control. The developed Method is contrasted with our current, analytical model and additionally, stability guarantees under virtual inertia control need to be established. The approach should be validated vis-a-vis our existing framework. Further Reading: https://control.ee.ethz.ch/research/theory/data-enabled-predictive-control.html
Keywords
Robotics, Control, Stability, Data-Enabled Predictive Control
Labels
Semester Project , Bachelor Thesis , Master Thesis
The Project
Your Task
You have...
About pd|z
Contact Details
More information
Published since: 2025-06-30 , Earliest start: 2025-09-01 , Latest end: 2025-12-31
Organization pd|z Product Development Group Zurich
Hosts Gimeno Lucas
Topics Engineering and Technology
Visual Object Reconstruction and Generalized Collision-aware Manipulation using Reinforcement Learning
We propose to develop a neural motion planning method that incorporates 3D-reconstructed geometry of in-hand objects into a reinforcement learning policy for collision-aware manipulation. This enables generalization across novel tools and objects with precise, geometry-driven motion in both stationary and mobile robotic setups.
Keywords
Neural motion planning, 3D reconstruction, reinforcement learning, mobile manipulation
Labels
Master Thesis , ETH Zurich (ETHZ)
Description
Work Packages
Requirements
More information
Published since: 2025-06-30 , Earliest start: 2025-08-31 , Latest end: 2026-07-31
Organization Robotic Systems Lab
Hosts Portela Tifanny , Zurbrügg René
Topics Information, Computing and Communication Sciences
SensAL - Early Anastomotic Leak Monitoring
Anastomotic leakage is among the leading causes of morbidity and death following gastrointestinal surgery. A significant factor behind this is the delayed detection provided by existing diagnostic methods. At The Ingenuity Lab, we are dedicated to addressing these challenges and revolutionizing the landscape of postoperative diagnostics. For this reason we developed SensAL, a naked-eye-readable enzyme responsive hydrogel based sensor. After inital success in a pilot study in collaboration with USZ the sensors ability will now be tested in an international multicenter study.
Keywords
Point of care, Biosensor, Bedside Sensor, Clinical Study, Sensing, Chemistry, Engineering, Biomedical Engineering, Hydrogels, Anastomotic Leak, Bench to Bedside, Patient Monitoring, Biology, Biomedicine, Applied Engineering
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Contact Details
More information
Published since: 2025-06-27 , Earliest start: 2025-07-01 , Latest end: 2026-07-01
Applications limited to Balgrist Campus , Eawag , Empa , ETH Zurich , Hochschulmedizin Zürich , Swiss National Science Foundation , Swiss Institute of Bioinformatics , IBM Research Zurich Lab , 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 Applied Sciences , [nothing]
Organization Nanoparticle Systems Engineering Laboratory
Hosts Jessernig Alexander
Topics Medical and Health Sciences , Engineering and Technology , Chemistry
X-Ray based registration of vessel models
We are looking for a motivated Master student for the ANGIE project, , which envisions a future where targeted drug delivery is made possible through magnetically guided capsules. To enable localisation the student will develop an algorithm to estimate the 6 DoF pose of a vascular model using a 2D low resolution X-ray image.
Keywords
Computer vision, medical imaging, pose estimation
Labels
Master Thesis
Goal
Contact Details
More information
Published since: 2025-06-27 , Earliest start: 2025-07-13 , Latest end: 2026-03-31
Organization Multiscale Robotics Lab
Hosts Sivakumaran Derick
Topics Information, Computing and Communication Sciences , Engineering and Technology
Volumetric Bioprinting of Engineered Muscle Tissues
We are working with an innovative volumetric printing technique – Xolography – to fabricate engineered muscle tissues that function as bioactuators for biohybrid systems. You will work at the interface between biology and robotics, helping us exploring new designs and strategies to advance the field of muscle tissue engineering and muscle-powered living machines.
Keywords
bioprinting, muscle, tissue engineering, 3D cell culture, hydrogels, biohybrid robotics, regenerative medicine, 3D models, biomaterials, biofabrication.
Labels
Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2025-06-27 , Earliest start: 2025-07-15
Organization Soft Robotics Lab
Hosts Badolato Asia
Topics Medical and Health Sciences , Engineering and Technology , Chemistry , Biology
Development of Wireless Ion Sensing Platforms using Metamaterials and Soft Biointerfaces
This project explores the design and realization of a flexible, wireless ion-sensing patch by integrating resonant metamaterial structures with bio-interfacing soft materials. The system is intended for noninvasive detection of physiologically relevant ions from skin-interfaced fluids using passive sensing mechanisms
Keywords
flexible electronics, metamaterials, wireless biosensors, resonant sensors, skin-compatible interfaces
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-06-26 , Earliest start: 2025-08-01 , Latest end: 2026-01-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Zada Muhammad
Topics Engineering and Technology
3D reconstruction with open-vocabulary reconstruction priors
Push the limits of arbitrary online video reconstruction by combining the most recent, prior-supported real-time Simultaneous Localization And Mapping (SLAM) methods with automatic backend regularization techniques.
Keywords
Structure from Motion Visual SLAM
Labels
Master Thesis , ETH Zurich (ETHZ)
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-06-26 , Earliest start: 2025-07-01
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Engineering and Technology
Learning Manipulation beyond Single End-Effector
Robots, like humans, should be able to use different parts of their morphology (base, elbow, hips, feet) for interaction. This project focuses on learning multi-modal interactions from demonstrations for mobile manipulators.
Keywords
machine learning, manipulation, robotics
Labels
Semester Project , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-06-25 , Earliest start: 2024-01-08
Organization Robotic Systems Lab
Hosts Mittal Mayank
Topics Information, Computing and Communication Sciences , Behavioural and Cognitive Sciences
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
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-06-24
Applications limited to ETH Zurich
Organization Group Supponen
Hosts Collado Gonzalo
Topics Engineering and Technology , Physics
Developing Multi-Functional Microrobots Using Microfluidic Chips (3M project)
We are looking for a motivated Master’s student to join an exciting interdisciplinary thesis project, collaborating between the Multi-Scale Robotics Lab (D-MAVT) and the deMello group (D-CHAB) at ETH Zurich. This project focuses on creating a novel microfluidic-based bottom-up method to fabricate multifunctional microrobots. This innovative approach seeks to revolutionize microrobot fabrication, opening the door to diverse new applications.
Keywords
Microfluidics, Self-assembly, Microrobots
Labels
Master Thesis , ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2025-06-22 , Earliest start: 2025-02-17
Organization Multiscale Robotics Lab
Hosts Hu Minghan
Topics Engineering and Technology , Chemistry
Measuring rough colloid mechanics through gold plasmon resonance.
Materials formed by colloidal gels and suspensions are common place with examples ranging from concrete to yogurt. Tuning the properties of such materials requires modification of the microscopic particle-particle interactions, however the relationship between micromechanics and the macroscopic mechanical properties of the material are not fully understood. To develop predictive microstructure-based models for the macroscopic response of such soft materials, we propose a novel plasmon-resonance-based imaging technique. This approach relies on synthesizing rough colloidal gels by absorbing gold nanoparticles (AuNPs) onto larger silica colloids. Visualizing these modified colloidal gels under deformation at high speeds would enable direct observation of localized plastic events by monitoring the spectral shift of gold plasmons. The relaxation of localized stresses through particle rearrangements, leads to changes in plasmon coupled interaction as a function of distance between the AuNPs. When two particles come into contact, their AuNPs exhibit plasmonic coupling, leading to a detectable redshift in their absorption/emission spectrum. This proposal presents a novel technique for measuring micro-mechanical interactions in rough colloidal gels.
Keywords
Materials, Mechanics, Colloids, Microscopy, Plasmons
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2025-06-18 , Earliest start: 2025-07-01 , Latest end: 2026-07-01
Applications limited to ETH Zurich
Organization Soft Materials
Hosts Gowen Savannah
Topics Mathematical Sciences , Engineering and Technology , Chemistry , Physics
Master Thesis - Process Chain Optimization
Process chains in modern manufacturing are complex systems involving multiple, often interdependent processes governed by different physical principles. Traditional modelling of these systems is challenging, particularly in precision manufacturing. However, sensor data from digitalized production lines now enables data-driven modelling. This thesis builds on an in-house machine learning model trained to assess batch quality and aims to optimize the process chain by identifying optimal process parameters. By defining a cost function based on model predictions, the project explores and applies optimization techniques to ensure consistently high-quality production outcomes.
Keywords
Machine Learning, Optimization, Manufacturing, Process Chains
Labels
Master Thesis , ETH Zurich (ETHZ)
Description
Goal
Contact Details
More information
Published since: 2025-06-17 , Earliest start: 2025-09-01 , Latest end: 2025-11-03
Organization Computational Modelling of Materials in Manufacturing
Hosts Scipione Francesco
Topics Engineering and Technology
RL Finetuning for Generalized Quadruped Locomotion
This project investigates the potential of reinforcement learning (RL) fine-tuning to develop a single, universal locomotion policy for quadruped robots. Building on prior work in multi-terrain skill synthesis [1], we will probe the limits of generalization by systematically fine-tuning on an ever-expanding set of diverse environments. This incremental approach will test the hypothesis that a controller can learn to robustly navigate a vast range of terrains. As a potential extension, procedural terrain generation may be used to automatically create novel challenges, pushing the boundaries of policy robustness.
Keywords
Reinforcement Learning, Quadruped Locomotion
Labels
Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-06-17 , Earliest start: 2025-06-15
Organization Robotic Systems Lab
Hosts Schwarke Clemens , He Junzhe
Topics Information, Computing and Communication Sciences
Master's Thesis - Anomaly Detection in Process Chains
Process chains are fundamental to modern manufacturing but are difficult to model due to the complexity and interplay of diverse physical processes. While traditional modelling faces limitations, the rise of sensor-equipped, digitalized production environments enables data-driven approaches. This work leverages such data to deploy an anomaly detection model developed in-house, aimed at identifying deviations in manufacturing process chains. Trained using a supervisory signal reflecting batch quality, the model learns parameter distributions to detect anomalies and predict product quality. The project focuses on developing out-of-distribution detection methods and evaluating the model's performance under continual learning conditions.
Keywords
Machine Learning, Anomaly Detection, Virtual Production, Process Chains
Labels
Master Thesis
Description
Goal
Contact Details
More information
Published since: 2025-06-17 , Earliest start: 2025-08-04 , Latest end: 2025-10-01
Organization Computational Modelling of Materials in Manufacturing
Hosts Scipione Francesco
Topics Engineering and Technology
Learning a Simulation-Trained Safety Critic for Safe Online Learning in Legged Robots
This project focuses on developing a safety critic—a model that predicts the safety of robot states—to enable safe online learning on legged robotic hardware. The safety critic is trained in simulation using labeled data from diverse robot behaviors, identifying states likely to lead to failure (e.g., falls). Once trained, the critic is deployed alongside a learning policy to restrict unsafe exploration, either by filtering dangerous actions or shaping the reward function. The goal is to allow adaptive behavior on real hardware while minimizing physical risk.
Keywords
safety critic, online learning
Labels
Master Thesis
Description
Contact Details
More information
Published since: 2025-06-16
Organization Robotic Systems Lab
Hosts Li Chenhao , Li Chenhao , Li Chenhao , Li Chenhao
Topics Engineering and Technology
Data Driven Simulation for End-to-End Navigation
Investigate how neural rendering can become the backbone of comprehensive, next generation data-driven simulation
Keywords
Neural rendering, Simulation
Labels
Internship , Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-06-16 , Earliest start: 2025-01-27
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Information, Computing and Communication Sciences , Engineering and Technology
Event-based feature detection for highly dynamic tracking
Event cameras are an exciting new technology enabling sensing of highly dynamic content over a broad range of illumination conditions. The present thesis explores novel, sparse, event-driven paradigms for detecting structure and motion patterns in raw event streams.
Keywords
Event camera, neuromorphic sensing, feature detection, computer vision
Labels
Master Thesis
Description
Work Packages
Requirements
Contact Details
More information
Published since: 2025-06-16 , Earliest start: 2025-03-17
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Engineering and Technology