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source

UCLouvain

PhD Position in Machine Learning, Statistics, and Trustworthy AI at UCLouvain UCLouvain in Belgium

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Oct 1, 2026

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Country

Belgium

University

UCLouvain

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Keywords

Computer Science
Information Technology
Deep Learning
Mathematics
Probability Theory
Python Programming
Artificial Neural Network
Statistics
Machine learning

About this position

PhD opportunity in Machine Learning, Statistics, and Trustworthy AI at UCLouvain (LIDAM / ISBA), Belgium, under Prof. Olivier Caelen.

The project focuses on developing differentiable calibration losses for multi-class models to improve the reliability of neural network probabilities, going beyond standard post-hoc calibration approaches. This is a strong fit for candidates interested in deep learning, statistics, trustworthy AI, and probabilistic model calibration.

Eligibility highlights include a Master’s degree in Computer Science, Mathematics, Statistics, or Data Science, along with solid machine learning knowledge, Python programming skills, and English proficiency.

The post indicates a start date of October 2026. No funding details or application deadline are provided in the post excerpt. Interested applicants should consult the UCLouvain ISBA information page and follow the linked announcement for further application instructions.

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.

More information can be found here

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