PhD Position in Machine Learning and Statistics at UCLouvain Université catholique de Louvain in United Kingdom

PhD Position in Machine Learning and Statistics at Université catholique de Louvain (UCLouvain)

This opportunity is for a motivated PhD candidate to join LIDAM at UCLouvain and work on machine learning calibration. The project focuses on differentiable calibration losses for multi-class machine learning models, with applications to deep learning and trustworthy AI.

The research is interdisciplinary and combines statistics, machine learning, optimization, and neural networks. The post highlights both theoretical and experimental contributions, making it a strong fit for candidates interested in rigorous methods as well as practical model evaluation and calibration.

Eligibility: applicants should have a Master’s degree in computer science, statistics, mathematics, data science, or a related field, together with strong machine learning skills.

Deadline: July 31, 2026.

Institution: UCLouvain. Announcer: Olivier Caelen, Associate Professor. The post is a direct recruitment-style announcement from an academic staff member.