Up to 30% off — ends 2 Aug
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Up to 30% off — ends 2 Aug
ONLY00h00m00s
UCLouvain
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2 weeks ago
Fully Funded PhD in Machine Learning and Statistics at UCLouvain UCLouvain
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Jul 31, 2026
Country
-
University
UCLouvain

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About this position
UCLouvain in Belgium is advertising a fully funded PhD position in Machine Learning and Statistics.
The project sits at the intersection of machine learning, statistical learning, artificial intelligence, probabilistic modeling, Bayesian methods, optimization algorithms, trustworthy AI, explainable AI, data science, and applied statistics. The research aims to develop novel machine learning and statistical methods with strong theoretical foundations while also addressing real-world data science challenges.
Applicants are encouraged from backgrounds in Computer Science, Artificial Intelligence, Statistics, Mathematics, Data Science, Machine Learning, or related areas. The post highlights the importance of strong mathematical foundations, programming skills, and research motivation.
Eligibility requirements include a Master’s degree in a relevant field, strong programming ability in Python or similar languages, and a solid background in probability, statistics, and machine learning.
Funding is described as fully funded, with additional support for conference travel and publication. The post does not specify stipend amount or tuition details.
The application deadline is 31 July 2026. Interested candidates should email their application materials to [email protected] and consult the linked information page for more details.
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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