Doctoral Position in Generative AI-Based, Computational Design Methods for Engineering Design

Investigate new approaches in generative AI for engineering design Explore how LLMs can act as collaborative partners for human designers Use LLMs to Represent engineering designs, Reason about design solutions, Generate new design solutions, Explore different solution spaces Investigate applications in Consumer products, Manufacturing, Structures Provide teaching assistance in Engineering design, Product development, CAD

The Engineering Design and Computing Laboratory has a fully-funded doctoral position to work on cutting-edge research combining Large Language Models (LLMs) with formal design grammars for generative engineering design.

Join a highly motivated, international team at one of Europe’s leading universities Work in an engaging and ambitious research environment Opportunities to collaborate with students, other research labs, industrial partners Opportunity to shape the lab’s research direction with your own ideas Contribute to and strengthen the lab’s international research profile

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

• Creative and curious, with an interdisciplinary mindset

• Interested in applied AI for engineering design

• Interested in computational design methods

• Master’s degree in Mechanical Engineering or a related field

• Motivated to conduct internationally leading research

• Strong programming skills in Python

• English is the main working language

• German is an advantage but not required

• Experience with computational design methods is an advantage

• Experience with machine learning is an advantage

• Experience with Large Language Models (LLMs) is an advantage

• Excellent applicants with a strong interest in research and innovation are encouraged to apply

• Scientific publications are an advantage