Available Theses
💻 Code That Decides Races — and Saves Buildings: ML & Software with Audi F1 and Siemens
Forget the synthetic dataset. Here you get terabytes of real telemetry, a real production constraint and a partner who will deploy what you build. Choose your problem.
Keywords
simulation, robotics, control, prototyping, software, development, mvp, poc, product development, agile, impact, industry, computer science, information technology, optimization
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Semester Project , Course Project , Collaboration , Internship , Lab Practice , Master Thesis
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Published since: 2026-06-08 , Earliest start: 2026-09-14 , Latest end: 2027-03-31
Organization pd|z Product Development Group Zurich
Hosts von Salis Marco
Topics Information, Computing and Communication Sciences
🧪 The Material That Wins: From F1 Composites to Carbon-Negative Concrete
Materials are where physics meets the real world. Here you take a material from formulation to characterisation to a partner who needs it to perform. Pick your material:
Keywords
material science, design, simulation, fabric, soft materials, prototyping, product development, agile, impact, industry, rapid prototyping
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Semester Project , Course Project , Internship , Master Thesis
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Published since: 2026-06-08 , Earliest start: 2026-09-14 , Latest end: 2027-03-31
Organization pd|z Product Development Group Zurich
Hosts von Salis Marco
Topics Engineering and Technology , Chemistry
🏎️ Engineer the Edge: Build Real Hardware for Audi F1, VAT & V-ZUG
You did not study mechanical engineering to optimise a textbook beam. Here you get a real component, a real partner, a world-class maker space — and six months to make something that matters. Pick your battlefield:
Keywords
mechanical engineering, design, simulation, fem, robotics, control, prototyping, product development, agile, impact, industry
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Semester Project , Course Project , Internship , ETH Zurich (ETHZ)
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Published since: 2026-06-08 , Earliest start: 2026-09-14 , Latest end: 2027-03-31
Organization ETH Exploration Lab
Hosts von Salis Marco
Topics Engineering and Technology
📈 Turn Deep Tech into Real Business: Innovation Strategy with Audi F1, Holcim & Bossard
Don’t analyse a case from 2015 — build the business case, run the customer discovery and de-risk a real product with a real company. This is where technology becomes a business. You will sit between brilliant engineering and a real market, and answer the only question that matters: will anyone pay for this? Choose your venture:
Keywords
innovation management, business model, business development, go-to-market, customer discovery, market analysis, market sizing, unit economics, financial modeling, pricing strategy, value proposition, technology transfer, commercialization, entrepreneurship, startup, venture, deep tech, B2B, product management, strategy, lean startup, MVP, circular economy, supply chain, Industry 4.0, sustainability strategy, willingness to pay, agile, scale-up
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Internship , Master Thesis
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Published since: 2026-06-08 , Earliest start: 2026-09-14 , Latest end: 2027-03-31
Organization pd|z Product Development Group Zurich
Hosts von Salis Marco
Topics Engineering and Technology , Economics , Commerce, Management, Tourism and Services
🌍 Decarbonise the Hard Stuff: Sustainability Engineering with Holcim & MAC Jeans
Cement, denim, devices — take on the high-impact, hard-to-abate sectors and build the roadmap to net zero. The easy emissions are already being cut. The hard ones — cement, textiles, industrial supply chains — are where the real fight is. Here you get the data, the partner and the mandate to make a dent. Pick your impact:
Keywords
sustainability, life cycle assessment, LCA, decarbonization, net zero, carbon footprint, CO2 capture, emissions, climate, circular economy, environmental modeling, systems thinking, material flow analysis, resource efficiency, energy efficiency, hard-to-abate sectors, green transition, ecodesign, environmental impact, sustainable supply chain, textile sustainability, cement decarbonization, environmental data, agile, development
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Internship
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Published since: 2026-06-08 , Earliest start: 2026-09-14 , Latest end: 2027-03-31
Organization pd|z Product Development Group Zurich
Hosts von Salis Marco
Topics Agricultural, Veterinary and Environmental Sciences
⚡ Power the Podium: Electronics, Control & Sensing with Audi F1 and Siemens
Signals, power, control. Here is where your circuits and controllers leave the lab bench and go into systems that win races, save buildings and build the chips the world runs on. Choose your project
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, material science, computer science, electrical engineering
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Semester Project , Course Project , Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-06-08 , Earliest start: 2026-09-14 , Latest end: 2027-03-31
Organization ETH Exploration Lab
Hosts von Salis Marco
Topics Information, Computing and Communication Sciences , Engineering and Technology
Innovation Traineeship in Industry
ETH Zürich's Exploration Lab is partnering with multiple companies, such as Audi F1, V-Zug, J&J, Siemens, Holcim, SHL Medical, MAC Jeans, Bossard and VAT. We offer a unique opportunity: You have the freedom to work on real-world projects across multiple domains based on your interest. Best thing: Get an internship, course and thesis all-in-one.
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, material science, computer science, electrical engineering
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Semester Project , Collaboration , Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-29 , Earliest start: 2026-09-14 , Latest end: 2027-03-31
Organization ETH Exploration Lab
Hosts von Salis Marco
Topics Agricultural, Veterinary and Environmental Sciences , Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Earth Sciences
FactoryNet: Training Data and Foundational Models for Industrial AI
Unplanned downtime costs manufacturers $2.3M per hour, yet no open dataset connects sensor telemetry to structured fault diagnosis at scale. Forgis is building HYPERION, the first foundation model for cyberphysical systems (EUR 3.8M funding,$500kcompute credits). FactoryNet is its training data engine — 1M+ causally-structured, multimodal episodes spanning 15+ machine types — just awarded 50,000 GPU-hours on CSCS Alps through the Swiss AI Initiative.
Keywords
Robotics, Control, AI, Foundation Model, Industrial Automation
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Master Thesis
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Published since: 2026-05-18 , Earliest start: 2026-05-31 , Latest end: 2027-05-31
Organization pd|z Product Development Group Zurich
Hosts Gimeno Lucas
Topics Engineering and Technology
Reconstruct Human-scene interaction with gaussian splatting avatars
Three-dimensional (3D) reconstruction of dynamic scenes, particularly those involving humans interacting with their environment, remains a challenging problem in computer vision and graphics. Traditional volumetric and mesh-based methods can struggle with occlusions, complex geometries, and real-time performance. Recent advances in neural rendering—especially Gaussian splatting—offer promising alternatives by representing scenes as clouds of oriented 3D Gaussians (“splats”) that can be rendered extremely efficiently. The goal of this project is to develop a novel pipeline that leverages Gaussian splatting to reconstruct, analyze, and interpret human–scene interactions in 3D.
Keywords
3D reconstruction, Gaussian splatting, Human pose estimation
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Semester Project , Master Thesis
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Published since: 2026-05-12
Applications limited to ETH Zurich , University of Zurich
Organization pd|z Product Development Group Zurich
Hosts Wang Rui
Topics Information, Computing and Communication Sciences
End-to-End Setup of AI-Enabled Industrial Workflows
This thesis investigates how AI-enabled industrial workflows with integrated visual verification can be configured end-to-end by non-expert users. Using a digital workflow platform, the work explores how process definition, dataset creation, and model configuration impact verification reliability. Through experimental evaluation across real-world use cases—including industrial maintenance tasks such as Hilti DX76 tool cleaning—the thesis derives practical guidelines for building robust, user-friendly AI-assisted workflows.
Keywords
Digital workflows, computer vision, industrial AI, visual verification, human-AI interaction, workflow automation, maintenance processes, dataset design
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-03-26 , Earliest start: 2026-03-26 , Latest end: 2026-09-30
Organization pd|z Product Development Group Zurich
Hosts Hogenkamp Maarten
Topics Engineering and Technology