Postdoctoral Researcher in Generative AI for Mechanism Design
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).
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
Workplace
Workplace
We offer
You will join a team of clinical and research scientists in the task of improving healthcare systems through physiological and clinical data systems design and analysis.
We offer a full-time research position funded with a competitive salary in accordance with chevron right Working, teaching and research at ETH Zurich
We value diversity
In line with to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
Curious? So are we.
We look forward to receiving your online application in a single PDF with the following documents :
- Statement of interests and self-assessment of your profile match (1 page Max) with the subject line : "AI in healthcare is transparent or null"
- CV (2 pages max)
- One of your publications on a related topic (linked to open-source code)
- Names and contact information of 2 references
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Applications will be revised until the position is filled.
Further information about HEST can be found on our website. Questions regarding the position should be submitted to Mrs.
Ai Sullivan, Email ( no applications ).
About ETH Zürich
Postdoctoral Researcher in Generative AI for Mechanism Design
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