Student Projects
Internship – Image-Based Measurement System (6-12 months)
inspire AG is Switzerland’s leading competence center for product innovation and advanced manufacturing. As a strategic partner of ETH Zurich, our mission is to transfer knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. We are looking for a motivated intern to support the development of an industrial optical measurement system based on an existing functional prototype. The project combines mechanical design and CAD, optomechatronic system integration, repeatable image acquisition, and computer-vision-based image analysis.
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Internship
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Published since: 2026-07-31 , Earliest start: 2026-09-01 , Latest end: 2026-10-31
Organization Institute of Machine Tools and Manufacturing
Hosts Maier Markus
Topics Engineering and Technology
In-Process Measurement of Wire-EDM Discharge Characteristics for Machine Learning-Based Prediction
Wire Electrical Discharge Machining shapes conductive materials using controlled electrical sparks, but ineffective discharges can damage surfaces and destabilize the process. Inspire AG and a Swiss EDM industry partner are developing a high-speed data acquisition system to capture electrical and optical signals for machine-learning-based discharge quality prediction.
Keywords
Manufacturing, Wire Electric Discharge Machining, Data Acquisition, Imaging
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Master Thesis
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Published since: 2026-07-23 , Earliest start: 2026-08-02 , Latest end: 2027-08-02
Organization Institute of Machine Tools and Manufacturing
Hosts Ilten Mert
Topics Engineering and Technology
Laser Speckle Analysis for Surface Roughness Estimation
Laser speckle is an optical phenomenon that occurs when coherent light is scattered by a rough surface. The resulting light pattern contains statistical and spatial information related to the surface structure. This makes laser speckle analysis a promising method for the non-contact characterization of surface roughness.
Keywords
Laser Speckle Analysis Surface Roughness Estimation Optical Metrology Image Processing Machine Learning
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-07-20 , Earliest start: 2026-09-01
Organization Institute of Machine Tools and Manufacturing
Hosts Maier Markus
Topics Engineering and Technology
High performance dry cutting with engineered grinding segments
This study aims to systematically explore the influence of process and tool parameters through experimental cutting tests using both engineered grinding wheels with predefined grain positions and benchmark tools.
Keywords
Simulation, Modeling, Machining, Grinding
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Master Thesis
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Published since: 2026-07-09 , Earliest start: 2026-09-01 , Latest end: 2027-07-01
Organization Institute of Machine Tools and Manufacturing
Hosts Ilten Mert
Topics Engineering and Technology
Research Intern – Imaging and Machine Learning of Electrical Discharges in Wire-EDM
A 12-month full-time research internship focused on high-speed optical imaging of electrical discharges in Wire Electrical Discharge Machining (W-EDM). The intern will help develop a novel acquisition system combining high-bandwidth electrical measurements with high-speed imaging, and design, train, and deploy fast machine learning models on FPGA to predict, identify, and suppress discharges that do not meet quality criteria.
Keywords
Wire-EDM, W-EDM, electrical discharge machining, high-speed imaging, optical imaging, machine learning, FPGA, image processing, computer vision, stereo vision, Python, PyTorch, OpenCV, precision manufacturing
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Internship
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Published since: 2026-07-02 , Earliest start: 2026-09-01 , Latest end: 2027-12-31
Organization Institute of Machine Tools and Manufacturing
Hosts Gonzalez Eduardo
Topics Engineering and Technology , Physics
AI-Based Evaluation of Standardized Football Exercises from Smartphone Videos
AllStars AI aims to make football talent evaluation objective, comparable and accessible. In this thesis, smartphone videos of standardized football exercises are analysed using state-of-the-art human motion detection. The system should estimate player joint positions, optionally fit a digital avatar, and extract relevant movement and ball-interaction features. The goal is to transform short, structured videos into reproducible performance metrics such as speed, control, accuracy and consistency, and to validate whether these metrics can support data-driven player profiles and talent discovery.
Keywords
Computer Vision, Human Motion Tracking, Football
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-06-10 , Earliest start: 2026-07-15 , Latest end: 2026-10-30
Applications limited to ETH Zurich
Organization Innovation Center Virtual Reality
Hosts Kunz Andreas, Prof.
Topics Information, Computing and Communication Sciences