Postdoc in ML-Based Co-Design at EPFL

EPFL; Lausanne; Vor Ort; CHF 75.000 - 100.000; Vollzeit

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, 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

• 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).

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