Vacancy PhD researcher: Machine learning on knowledge graphs


Last application date
open until the vacancy is filled
TW06 - Department of Electronics and Information Systems
Limited duration
Master of Science in Computer Science Engineering, Master of Science in Mathematics, Master of Science in Informatics, Master of Science in Computer Science, or similar
Occupancy rate
Vacancy type
Research staff

Job description 

The AI & Data Analytics (AIDA) group at Ghent University is seeking a motivated candidate for a fully funded four-year PhD student position in the areas of Artificial Intelligence and Machine Learning.

Our group conducts internationally top research in AI, in the areas of machine learning and knowledge discovery. An overview of our group and research portfolio can be found at . We are looking for a candidate for the following project:

Machine learning on knowledge graphs. This project aims to overcome challenges created by both the diversity present in knowledge graphs and by their distributed nature, in comparison to current machine learning methods for graphs. There is a possibility to collaborate with the semantic web group that is located in the same office and the recently founded SOLID lab Flanders.

The research will be supervised by Prof. Tijl De Bie and Prof. Jefrey Lijffijt of the AIDA group. We are an engaging international team with a track record in world-leading research. We are part of the Ghent University Internet Technology and Data Science Lab with over 300 researchers and the cross-university Flanders AI Research initiative. Funding comes from the ERC, FWO, and the Flemish government through Flanders AI Research.

Ghent University is a comprehensive internationally leading research-intensive university. English is the working language; knowledge of Dutch or French is not required. The university also offers a wide range of courses for skills professionalization. Ghent is a historical, vibrant, and internationally minded city in Belgium with 260k inhabitants.

One fully funded position as PhD student is available (1 year, which is extended until 4 years after positive evaluation after the first year). 

Job profile

Your Profile 

  • You need to hold a relevant master’s degree (e.g., Master of Science in Computer Science Engineering, Master of Science in Mathematics, Master of Science in Informatics, Master of Science in Computer Science, or similar) with demonstrated first-class performance (e.g., outstanding grades, thesis result, or publications).
  • Your English is fluent, both speaking and writing.
  • Ideal candidates demonstrate mastery of the core aspects of machine learning:
    • Fundamentals of probability and statistics
    • Algorithm design, discrete/continuous optimisation
    • Programming (in Python, C++/Java, JavaScript, …)
  • Experience with semantic web technologies is a plus.
  • You are a team player with good networking and reporting skills.

How to apply


Great! Applications may be sent by email to Please include cover letter, CV, and contact details of 1 to 3 referees. Do not include reference letters, these will be solicited by us. Suitable candidates will be invited for an interview and may get a small assignment. The application deadline is May 31, 2022, but applications remain welcome until the position is filled. We offer you a flexible starting date, with a preference to start as soon as possible. For more information about the topic of the PhD itself, please contact us as well.