Postdoc: ML-Driven Co-Design for Aerodynamics & Control

EPFL

Lausanne

Vor Ort

CHF 75.000 - 100.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Stimulating international working environment
Competitive salary
Opportunity to perform state-of-the-art research

Zusammenfassung

EPFL, located in Lausanne, is looking for a postdoctoral fellow in ML-Based Co-Design. The role will focus on aerodynamic shape and control, offering an opportunity for state-of-the-art research in a dynamic, international environment.

Applicants must hold a doctorate in a Machine-Learning field, with strong knowledge of Control Theory and a solid publication record. EPFL provides a competitive salary, excellent working conditions, and the chance to interact with top experts in the field.

Qualifikationen

  • PhD in a relevant Machine-Learning field.
  • Deep knowledge of classical and deep learning based Control Theory.
  • Solid publication record in top ML venues.

Aufgaben

  • Work on co-design for aerodynamic shape and control.
  • Design model gliders for FAI competitions.

Kenntnisse

Machine Learning expertise
Control Theory knowledge
Publication record
Familiarity with aerodynamics

Ausbildung

Doctorate in a Machine-Learning related field

Jobbeschreibung

EPFL, located in Lausanne, is looking for a postdoctoral fellow in ML-Based Co-Design. The role will focus on aerodynamic shape and control, offering an opportunity for state-of-the-art research in a dynamic, international environment.

Applicants must hold a doctorate in a Machine-Learning field, with strong knowledge of Control Theory and a solid publication record. EPFL provides a competitive salary, excellent working conditions, and the chance to interact with top experts in the field.

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