Postdoc in ML-Based Co-Design at EPFL

Nouvelle opportunite : Postdoc in ML-Based Co-Design at EPFL chez EPFL (CH).

EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institution: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 17,000 people, including over 12,500 students and 4,000 researchers from more than 120 different countries.
Postdoc in ML-Based Co-Design at EPFL
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 aerodynamic shape and control along the lines described in the following tech report
https://arxiv.org/abs/2603.06760
. A potential target application is the design of model gliders to compete in FAI competitions such as
https://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/)
•
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
Informations
Only applications submitted through the online platform are considered. You are asked to supply:
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.
Contract start date : Flexible (Fall 2026 preferred)
Activity rate : 100%
Contract type : CDD
Duration : One year, renewable

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