Available Theses
Multimodal Deep Learning for Gaze-Driven Step Recognition in Orthopedic Training
This project investigates how combining egocentric video with eye-tracking data can improve automated step segmentation in a simulated orthopedic procedure. Using pretrained visual feature extractors and temporal models such as TCNs or Transformers, we aim to predict fine-grained surgical actions and evaluate the added value of gaze information. The goal is to enhance workflow understanding, interpretability, and objective feedback in surgical training.
Keywords
Eye-tracking, Egocentric video, Step segmentation, Orthopedics, Machine Learning, Transformers, Convolutional Neural Networks
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Semester Project , Master Thesis
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Published since: 2026-01-09 , Earliest start: 2026-01-05 , Latest end: 2026-12-31
Organization pd|z Product Development Group Zurich
Hosts Hogenkamp Maarten
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Thesis in Industry - Starting ASAP!
ETH Zürich's Exploration Lab is partnering with VAT - the leading valve manufacturer for high-vacuum applications - to offer a unique thesis opportunity. You'll have the freedom to choose from a diverse range of real-world projects across multiple 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, agile, development, product development, control
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Semester Project , Master Thesis
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Published since: 2026-01-06 , Earliest start: 2026-01-11 , Latest end: 2026-08-21
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , Zurich University of Applied Sciences
Organization pd|z Product Development Group Zurich
Hosts von Salis Marco , von Hopffgarten Arne , von Petersdorff-Campen Kai
Topics Information, Computing and Communication Sciences , Engineering and Technology
Open-Source Physical AI for Bimanual Contact-Rich Tasks
The aim of this work is to advance fundamental problems in physical AI, including coordinated bimanual control, representation and exploitation of contact interactions, and sim-to-real transfer. The project involves commissioning two OpenArm robotic arms in a leader–follower teleoperation setup, followed by the development and evaluation of learning-based bimanual control strategies. You will collect and generate manipulation data both through teleoperation and in simulated environments, and train coordinated bimanual control policies for contact-rich tasks using NVIDIA Isaac Lab or related frameworks. The project provides substantial freedom, allowing you to explore ideas that align with your personal interests. Foreseen applications include dexterous manipulation in manufacturing, household environments, or assistive robotics. Contributions to the OpenArm project are strongly encouraged.
Keywords
AI, Machine Learning, Robotics
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Internship , Bachelor Thesis , Master Thesis
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Published since: 2025-12-18 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization pd|z Product Development Group Zurich
Hosts Gimeno Lucas
Topics Engineering and Technology
Imitation learning in Electronics Disassembly
Disassemblage of Batteries is a challenging task with high variability, due to changing part geometries, corrosion, dirt, etc. The goal of this Thesis is to demonstrate an imitation-learning based disassembly of a PC Mainboard by removing all the cabling with a robot-arm.
Keywords
imitation learning, AI, Machine Learning, Control, Robotics, industry
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Internship , Master Thesis
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Published since: 2025-12-18 , Earliest start: 2025-12-31 , Latest end: 2026-09-30
Organization pd|z Product Development Group Zurich
Hosts Gimeno Lucas
Topics Engineering and Technology
Master Thesis in Learning and Control
We offer a variety of Master Thesis in the topics of Robotics, Learning and Control. Topics include: - imitation learning for cable disassembly - RL-based refinement of imitation learning policies - safe & stable RL and safety filters - encoding high level task primitives with learning policies - 3D and semantic perception of dynamic environments
Keywords
Robotics, Control, Imitation Learning, Reinforcement Learning, Perception, Computer Vision
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Master Thesis
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Published since: 2025-12-11 , Earliest start: 2025-12-31 , Latest end: 2026-09-01
Organization pd|z Product Development Group Zurich
Hosts Gimeno Lucas
Topics Information, Computing and Communication Sciences , Engineering and Technology