KU Leuven
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2 PhD positions in knowledge graphs, semantic web technologies, and AI at KU Leuven KU Leuven in Belgium
Degree Level
PhD
Field of study
Computer Science
Funding
Full-time PhD positions at KU Leuven with an attractive international research environment, flexible working hours, work-from-home opportunities, and support for professional travel and career development. No stipend amount is stated.
Deadline
Sep 25, 2026
Country
Belgium
University
KU Leuven

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About this position
KU Leuven is advertising 2 PhD candidates on knowledge graphs within the Department of Computer Science, working across the DTAI and EAVISE research groups and affiliated with Flanders Make and Leuven.AI.
The positions focus on knowledge graphs and semantic web technologies such as RDF, SPARQL, and SHACL, with related research in machine learning, knowledge representation, data engineering, stream processing, natural language processing, and language models. One theme concerns streaming knowledge graphs; another concerns the automated understanding of legal documents.
Applicants should have an MSc or PhD in Computer Science, Data Science, AI, or a comparable field. The post also asks for a strong theoretical and applied computer science background, motivation for research, the ability to abstract and generalize problems, teamwork and independent working skills, some leadership potential, and good English communication skills.
The role includes conducting high-quality research, collaborating with Flanders Make, disseminating results through publications and conferences, contributing to teaching activities, and working in a multidisciplinary international team. The position is full-time and offers flexible working hours, work-from-home options, an international environment, scientific freedom, and support for travel and career development.
Deadline: 25 September 2026 at 23:59 CET. Apply online via the KU Leuven application system.
Funding details
Full-time PhD positions at KU Leuven with an attractive international research environment, flexible working hours, work-from-home opportunities, and support for professional travel and career development. No stipend amount is stated.
What's required
Applicants should have an MSc or PhD in Computer Science, Data Science, AI, or a comparable field. Desired experience includes semantic web technologies such as RDF, SPARQL, and SHACL, and knowledge graphs. For the streaming knowledge graphs topic, basic understanding of data engineering and stream processing technologies is preferred. For the automated understanding of legal documents topic, knowledge of natural language processing and experience with language models are preferred. Candidates should have a theoretical and applied computer science background, motivation for research, problem abstraction and solution generalization skills, teamwork and independent working ability, some leadership potential, and good oral and written English communication skills.
How to apply
Apply through the online application system before 25/09/2026 23:59 CET. For questions about the position, contact Prof. Dr. Ir. Anastasia Dimou by email. For application procedure questions, use [email protected] or the FAQ page.
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