Connectionists: Postdoc in an ML-Based Co-Design at EPFL

[Pascal Fua]

Mission
The EPFL computer vision lab (https://www.epfl.ch/labs/cvlab/ ) is looking for a postdoctoral fellow to work on issues related to co-design for 3D shape and control along the lines described in the following tech report  https://arxiv.org/ abs/2603.06760 . A potential targetapplication is the design of model gliders to compete in FAI competitions such as https:// www.fai.org/page/f5-electric-flight. <http://www.fai.org/page/f5-electric-flight>
 
Profile
Potential candidates are expected to have:
•  A doctorate in a Machine-Learning related field.
•  A deep knowledge of Control Theory, both classical and deep learning based. 
•  A solid publication record in top level ML venues such as NeurIPs, ICML, and ICLR.
•  Familiarity with aerodynamics and aircraft design would be a plus.
 
We offer
•  A stimulating and international working environment
•  Competitive salary and excellent working conditions – more information can be found on our website (https:// www.epfl.ch/campus/services/human-resources/en/basic-starting-salary-of-doctoral-assistants-and-postdocs/) <http://www.epfl.ch/campus/services/human-resources/en/basic-starting-salary-of-doctoral-assistants-and-postdocs/)>
•  Opportunity to perform state-of-the-art research in one of the most dynamic scientific institutions in Europe.
•  Opportunity to interact with internationally renowned experts, and with a strong team of postdoctoral researchers and PhD students
 
Information
To apply please send to Patricia Hjelt (patricia.hjelt at epfl.ch):
•  A brief cover letter (pdf, up to 2 pages).
And in one PDF:
•  A CV with a publication list.
•  A research statement (pdf, up to 3 pages).
•  Contact details for 3 referees.
    Start date: Flexible (Fall 2026 preferred)
    Activity rate: 100%
Contract type: CDD
Duration: One year, renewable

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 Prof. P. Fua (Pascal.Fua at epfl.ch) 
 Tel: 41/21-693-2623
 Url:  https://people.epfl.ch/pascal.fua/
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