The role is a postdoctoral fellowship within the EPFL computer vision lab. The role focuses on co-design for aerodynamic shape and control. A potential target application is the design of model gliders for FAI competitions.
Responsibilities
- Conduct research on co-design for aerodynamic shape and control.
- Perform state-of-the-art research at a dynamic scientific institution.
- Interact with internationally renowned experts and a strong team of postdoctoral researchers and PhD students.
Requirements
- Hold a doctorate in a Machine-Learning related field.
- Possess deep knowledge of Control Theory, both classical and deep learning based.
- Have a solid publication record in top level ML venues such as NeurIPs, ICML, and ICLR.
Nice to have
- Familiarity with aerodynamics and aircraft design.
What the company offers
- A stimulating and international working environment.
- Competitive salary and excellent working conditions.
- 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 a strong team of postdoctoral researchers and PhD students.
About the company
EPFL is described as one of the most dynamic scientific institutions in Europe.
- EPFL is described as one of the most dynamic scientific institutions in Europe.
How to apply
Documents to submit:
- Cover letter
- CV
- Research statement
- Contact details for 3 referees
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