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Academic Researcher
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Research Assistant in Generative AI for Morphology Optimization of Assistive Devices
vor 4 Monaten
Job description
Wiithin thjs project you will leverage advanced 3D shape construction through generative design for the structural improvement of walking aids and biomechanical fitting to the user morphology, developing a software solution that integexpert knowledge included in the design and fabrication.
If you are a highly motivated and creative individual with a passion for innovation, we want to hear from you.
Join us and help shape the future of 3D design and additive manufacturing for mechanical and mechatronic aids.
Profile
You have experience in mesh, and CAD with a Master's degree from a university in Robotics, Mechanical Engineering, Electrical Engineering, or related fields, Highly motivated, self-driven, and shows excellent performance in your studies. CAD, 3D modelling and experience in shape analysis such as surface and topology consistency (preferred) Confirmed records on one of the methodological areas : deep learning, topological design, generative AI. (preferred) Proven track record in deploying machine learning models into production ( C/C++/C# or Python) You have first-rate oral and written English skills. Highly organized with excellent communication and interpersonal skills.
Workplace
Workplace
We offer
To become part of an ambitious, research team offering an outstanding research environment, full access to extensive facilities and great team spirit in close collaboration with international academia and industrial partners.
This is a unique opportunity to be at the forefront of cutting-edge research in AI for human modelling and fitting, working with state-of-the-art technology and collaborating with a highly motivated research and industrial team.
We offer a full-time research assistant/engineer position (% or as agreed ) 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 with the following documents as a single file:
CV (2 pages max), Statement of interests and self-assessment of your profile match (1 page Max) with the subject line: "AI in healthcare is transparent or null" One code example with documentation, Transcripts of all degrees obtained (in English) A letter of recommendation 2 referees' contact informationApplications will be processed regularly until the position is filled.
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
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
