Website unit
Responsibilities
- Carry out research and publish findings in top-tier robotics, computer-vision and machine-learning journals and conferences,
- Co-supervise Ph.D. students.
Profile
The successful candidate must:
- Hold a Ph.D. in engineering, physics, math, computer science, or a related field,
- Demonstrate a strong track record in machine learning, data-driven computer vision, or robot learning.
Offer
KU Leuven is Belgium's largest university and a leading higher education and research institution, ranked among the top 100 universities worldwide. The offer includes:
- A fully funded position at one of Europe's top universities,
- A competitive salary or tax-free scholarship,
- State-provided health insurance,
- Working with two thriving research teams: group PSI (Electrical Engineering) and group RAM (Mechanical Engineering),
- Working in Leuven, a charming city located a short 20-min train ride from Brussels.
More information
https://renaud-detry.net/jobs/kuleuven-postdoc-2026a
Interested?
Applications can be sent immediately and will be evaluated until the position is filled.
Applications submitted before April 15, 2026, will be given preference.
To apply, please visit https://renaud-detry.net/jobs/kuleuven-postdoc-2026a .
Do NOT apply via the university's application portal, i.e.,
- do NOT click on the blue "Apply for this position" button displayed on the right side of this page,
- do NOT click on the link "online application tool" below.
Instead, to apply, please visit https://renaud-detry.net/jobs/kuleuven-postdoc-2026a .
KU Leuven strives for an inclusive, respectful and socially safe environment. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential for an ambitious research and educational environment. In our commitment to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation, age, ethnic or national background, skin colour, religious and philosophical diversity, neurodivergence, employment disability, health, or socioeconomic status. For questions about accessibility or support offered, we are happy to assist you at this email address.