Postdoctoral Researcher in Generative AI for Mechanism Design

vor 4 Wochen


Zürich, Schweiz ETH Vollzeit

Job description

This postdoctoral position would focus on studying shape parametrization, learning gait optimization functions for mechanism design and using different machine learning embeddings (such as GANS, VAEs, and Diffusion Models) for developing a new full pipeline in design. 

If you are a highly motivated and creative individual with a passion for innovation, we want to hear from you.

In general, postdoctoral researchers at ETH Zurich have a full-time employment. A part-time employment may only be considered in exceptional cases (e.g. child- or familycare, other projects or employment).

Your profile

You have outstanding experience in Machine Learning with a PhD degree from a university in Computer Science, or related fields, with a proven track record in machine learning, deep learning, and topological optimization.

Highly motivated, self-driven, and shows excellent performance Strong analytical, mathematical, and algorithmic capabilities Understanding and experience in human modelling and simulation  Proficiency in mathematical optimization (e.g. multiobjective GA) Confirmed records on the methodological areas : deep learning, topological design, generative AI (preferred) Proven track record in  deploying machine learning models into production (preferred) Proficiency in programming in Python (preferred) Proven record of leading interdisciplinary projects (desirable) Adaptable and flexible to the continuous changes associated with research demands Passion for design and assistive devices

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