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UCLouvain

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PhD in Machine Learning and Statistics at UCLouvain UCLouvain

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Jul 31, 2026

Country

-

University

UCLouvain

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Keywords

Computer Science
Data Science
Deep Learning
Mathematics
Artificial Neural Network
Optimisation
Statistics
Machine learning

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About this position

PhD opportunity in Machine Learning and Statistics at UCLouvain, within LIDAM, focused on machine learning calibration and differentiable calibration losses for multi-class models.

The project sits at the intersection of statistics, machine learning, optimization, and neural networks, with applications to deep learning and trustworthy AI. The work includes both theoretical and experimental contributions, making it suitable for candidates interested in rigorous methods as well as applied model development.

Eligible applicants should hold a Master’s degree in computer science, statistics, mathematics, data science, or a related field, and should have strong machine learning skills. The post does not mention funding details, tuition, or language waivers.

Deadline: 31 July 2026.

How to apply: The post asks interested candidates to get in touch with the announcer. No direct application portal or email is provided in the text.

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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