Multiple PhD Positions in AI and Machine Learning
BelgiumFull FundingDeadline passed

Multiple PhD Positions in AI and Machine Learning

KU LeuvenPhDMachine LearningDeadline: 8 May 2026

All positions are in the Machine Learning subgroup of the Section for Declarative Languages and Artificial Intelligence (DTAI), which is part of the Department of Computer Science at KU Leuven. The DTAI lab is one of the leading research groups for machine learning, artificial intelligence and data mining. DTAI’s machine learning group currently has six faculty members located in Leuven (Hendrik Blockeel, Jesse Davis, Luc De Raedt, Tias Guns, Giuseppe Marra, Siegfried Nijssen), two research managers (Wannes Meert and Jessa Bekker) and more than 10 post-docs and 35 doctoral students. The Machine Learning group follows an artificial intelligence approach to data analysis and decision making. It investigates a wide variety of machine learning and data science problems. It mostly concentrates on problems that involve complex and structured data and background knowledge. It has expertise in areas such as Learning and Reasoning, Automated Data Science, Learning Constraints and Optimisation Criteria, (Constrained) Clustering, Statistical Relational Artificial Intelligence, Supervised Learning, Verification and Machine Learning. The group is applying its expertise in areas such as Sports Analytics, Anomaly Detection, Sensor data, and Action and Activity Learning

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University
KU Leuven
Level
PhD
Field
Machine Learning
Funding
Full Funding

What you need

The candidates should have a Master's degree in Computer Science or Artificial Intelligence. Candidates must have advanced theoretical and programming skills, be proficient in oral and written English, possess great communication and multi-tasking skills, and be team-oriented, proactive and result driven. The positions can start immediately, and positions will be filled as soon as suitable candidates are found. Interested candidates should send their résumé, contact information of 2 or 3 referees, your latest BSc and MSc transcripts (or documentation of achievements in current program) and a motivation letter using the KU Leuven system. The motivation letter should clearly identify the topic(s) the candidate wants to work on, your motivation for those topics and why you are a good fit for them. Please do NOT upload publications or theses to the system.

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