Doctoral Position in Generative AI-Based Computational Design Methods for Engineering Design
Join a cutting-edge research team at ETH Zürich focusing on generative AI for engineering design.
Best for:Best for candidates with a Master's in Mechanical Engineering and strong programming skills in Python.
Overview
The Engineering Design and Computing Laboratory at ETH Zürich offers a fully-funded doctoral position aimed at advancing research that integrates Large Language Models (LLMs) with formal design grammars for engineering design. The successful candidate will explore innovative approaches in generative AI, collaborating with human designers and applying these methods to various engineering applications. This role involves both research and teaching assistance, contributing to a dynamic and interdisciplinary environment. The position is set to start between February and September 2027, with applications accepted until November 1, 2026.
What you'll do
- Research new generative AI techniques for engineering design.
- Examine the role of LLMs as collaborative tools for designers.
- Utilize LLMs to represent and reason about engineering designs.
- Generate innovative design solutions and explore various design spaces.
- Investigate applications in consumer products, manufacturing, and structural design.
- Assist in teaching engineering design and product development courses.
Requirements
Degree required: Master's degree in Mechanical Engineering or a related field
Degree offered: PhD
Language: English; proficiency required
Instruction: English; German is a plus but not required
Publications: Scientific publications are advantageous
- Strong programming skills in Python
- Experience with computational design methods
- Familiarity with machine learning techniques
- Knowledge of Large Language Models (LLMs)
- Open to all nationalities
- Must hold a Master's degree
Funding & terms
How to apply
Deadline: 2026-11-01
Applications must be submitted through the online application portal. Ensure all required documents are included.
- CV
- University transcripts for both Bachelor's and Master's degrees
- Two reference contacts for letters
- Scientific publications (maximum of three if available)
Contact
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