Doctoral Position in Generative AI-Based, Computational Design Methods for Engineering Design 100%, Zurich, fixed-term 02.10.2026 | Engineering Design and Computing Laboratory
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Job Description
This fully-funded doctoral position focuses on developing generative AI-based computational design methods for engineering, specifically exploring how Large Language Models (LLMs) can represent, reason about, and generate design solutions. Key responsibilities include applied AI research for engineering design and teaching assistance. Applicants need a Master's degree in Mechanical Engineering or a related field, strong Python programming skills, and an interdisciplinary mindset with an interest in applied AI.
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Key Responsibilities
- Provide teaching assistance in Engineering design, Product development, CAD
- Motivated to conduct internationally leading research
- Join a highly motivated, international team at one of Europe’s leading universities
- Contribute to and strengthen the lab’s international research profile
Requirements
- German is an advantage but not required
- Master’s degree in Mechanical Engineering or a related field
- Only a small tuition fee is required at ETH
About This Position
When do applications close for this position?
Applications for Doctoral Position in Generative AI-Based, Computational Design Methods for Engineering Design 100%, Zurich, fixed-term 02.10.2026 | Engineering Design and Computing Laboratory at ETH Zurich (Swiss Federal Institute of Technology) close on 1 November 2026. Make sure your application reaches the university's recruitment system before the deadline — late submissions are generally not accepted.
Where is this position based?
The position is based at ETH Zurich (Swiss Federal Institute of Technology), in Zurich, CH. Check the job description above for flexible or hybrid arrangements.
How do I apply for this job?
Click the Apply button on this page — it takes you to ETH Zurich (Swiss Federal Institute of Technology)'s official application portal, where you submit your application directly to the university. Tenurify only aggregates the listing and never handles applications or charges candidates.
Ready to Apply?
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