École Polytechnique Fédérale de Lausanne
1 week ago
Postdoc in ML-Based Co-Design for Aerodynamic Shape and Control at EPFL École Polytechnique Fédérale de Lausanne in Switzerland
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral employment at EPFL with a competitive salary and excellent working conditions. Contract start date is flexible, with Fall 2026 preferred. Activity rate is 100%, contract type CDD, duration one year renewable.
Country
Switzerland
University
École Polytechnique Fédérale de Lausanne
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About this position
EPFL (École Polytechnique Fédérale de Lausanne) is recruiting a Postdoc in ML-Based Co-Design at its Computer Vision Lab (CVLab) in Lausanne, Switzerland. The project focuses on machine learning, control theory, aerodynamic shape optimization, and aircraft/glider design, with a potential application to model gliders for FAI competitions.
The successful candidate will work on co-design problems that combine aerodynamic shape and control, building on ideas described in the linked technical report. This is a research-intensive postdoctoral role in a highly international environment at one of Europe’s leading scientific institutions.
Eligibility highlights: applicants should hold a doctorate in a machine-learning related field, have deep knowledge of control theory (classical and deep-learning-based), and demonstrate a strong publication record in top ML venues such as NeurIPS, ICML, and ICLR. Experience with aerodynamics and aircraft design is considered an advantage.
Funding and contract: EPFL offers a competitive salary and excellent working conditions. The position is full-time (100%), under a CDD contract, for one year with the possibility of renewal. Start date is flexible, with Fall 2026 preferred.
How to apply: applications must be submitted through the online platform only. Prepare a brief cover letter (PDF, up to 2 pages), a single PDF containing your CV with publication list and research statement (up to 3 pages), and contact details for three referees.
Funding details
Postdoctoral employment at EPFL with a competitive salary and excellent working conditions. Contract start date is flexible, with Fall 2026 preferred. Activity rate is 100%, contract type CDD, duration one year renewable.
What's required
A doctorate in a machine-learning related field is expected. Candidates should have deep knowledge of control theory, both classical and deep-learning-based, and a solid publication record in top ML venues such as NeurIPS, ICML, and ICLR. Familiarity with aerodynamics and aircraft design is a plus.
How to apply
Apply only through the online platform. Submit a brief cover letter (PDF, up to 2 pages), plus one PDF containing a CV with publication list and a research statement (up to 3 pages), and provide contact details for 3 referees.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.