Doctoral Position in Generative AI-Based Computational Design Methods for Engineering Design
Join a pioneering research team at ETH Zurich focusing on generative AI in engineering.
Best for:Best for candidates with a strong background in mechanical engineering and programming, particularly in Python.
Overview
ETH Zurich is offering a fully-funded doctoral position in the Engineering Design and Computing Laboratory. The role involves innovative research that integrates Large Language Models (LLMs) with formal design grammars to enhance engineering design processes. Candidates will explore the potential of LLMs as collaborative tools for designers and investigate applications across various sectors, including consumer products and manufacturing. The position is ideal for motivated individuals eager to contribute to cutting-edge research in applied AI and computational design methods.
What you'll do
- Research new generative AI approaches for engineering design.
- Examine the role of LLMs as partners in the design process.
- Utilize LLMs to represent and reason about engineering designs.
- Generate innovative design solutions and explore various solution spaces.
- Investigate applications in consumer products, manufacturing, and structural design.
- Assist in teaching engineering design, product development, and CAD.
Requirements
Degree required: Master’s degree in Mechanical Engineering or a related field
Degree offered: PhD
Language: English; proficiency required
Instruction: English
Publications: Scientific publications are an advantage
- Strong programming skills in Python
- Experience with computational design methods
- Familiarity with machine learning concepts
- 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 · open until filled
Applications must be submitted through the online application portal. Ensure all required documents are included.
- CV
- University transcripts for both Bachelor and Master degrees
- Two references for contact
- Scientific publications (maximum of three if available)
Contact
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