Postdoc in ML-Based Co-Design at EPFL

Research joint aerodynamic-shape and control design in EPFL’s Computer Vision Laboratory. The project applies machine learning to co-design, with model gliders for FAI competitions as a possible application. The appointment is full time for one year, renewable, with a flexible start date and autumn 2026 preferred.

A doctorate in a machine-learning-related field, strong classical and learning-based control theory, and publications in leading ML venues. Aerodynamics and aircraft-design experience is advantageous. Apply through the online platform with a cover letter up to two pages and one PDF containing a CV, publication list, research statement up to three pages and three referees.