Publisher
source

KU Leuven

Top university

Postdoc Position in Robot Learning and Machine Learning at KU Leuven KU Leuven in Belgium

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

Belgium

University

KU Leuven

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Artificial Intelligence
Computer Vision
Technical Engineering
Robotics
Machine learning

About this position

KU Leuven, Belgium's largest university and a top-ranked institution in Europe, is offering a fully funded postdoctoral position in robot learning. The position is supervised by Renaud Detry and is part of the robot-learning group, which works at the intersection of machine learning, robotics, and computer vision. The successful candidate will join two thriving research teams: group PSI (Electrical Engineering) and group RAM (Mechanical Engineering), contributing to cutting-edge research in artificial intelligence and robotics.

The research focus is on robot learning, leveraging machine learning and data-driven computer vision techniques to advance the field. The postdoc will be responsible for conducting research, publishing in top-tier journals and conferences, and co-supervising Ph.D. students. Applicants should have a Ph.D. in engineering, physics, mathematics, computer science, or a related field, with a strong track record in machine learning, data-driven computer vision, or robot learning. Proof of English proficiency is recommended.

The offer includes a competitive salary or tax-free scholarship, state-provided health insurance, and the opportunity to work in Leuven, a vibrant city close to Brussels. The position is fully funded and provides access to a dynamic research environment within the ELLIS network, which connects leading AI researchers across Europe. The application deadline is April 15, 2026, with applications reviewed until the position is filled.

To apply, candidates must submit a cover letter (using the specified form, as Markdown), a CV (PDF), and proof of English proficiency (if available) by email to [email protected]. Applicants are advised not to use the university's online application tool. This opportunity is ideal for researchers interested in advancing robot learning, machine learning, and artificial intelligence within a collaborative and internationally recognized academic setting.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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