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PhD position in automated knowledge graph generation



(ref. BAP-2022-19)

Laatst aangepast : 17/01/2022

Knowledge graphs are generated from distributed data in different formats, e.g., CSV, XML, JSON, etc. However, this process is performed manually so far. The PhD candidate will conduct research on automating the generation of knowledge graphs. This PhD candidate should have a strong profile on Machine Learning aspects with a good understanding of Semantic Web and Knowledge Graphs aspects. The work will be performed within the research groups DTAI and EAVISE, at the Department of Computer Science at KU Leuven. The Declarative Languages and Artificial Intelligence (DTAI) section within the Computer Science Department conducts research on fundamental and applied research in the fields of Declarative Languages, Machine Learning and Knowledge Representation. The Embedded and Artificially intelligent VISion Engineering (EAVISE) is a multidisciplinary group focuses on applications of advanced computer vision and artificial intelligence, bridging the valley of death between academics and industry.

- research in the areas of Knowledge Graphs and Machine Learning, in particular with respect to the data integration/sharing/exchange 

- conceptual design, modeling & construction of knowledge graphs

- dissemination of project results through publications and international conferences

- work in a multidisciplinary and international team


- university degree (MSc or equivalent) in Computer Science, Data Science, AI or comparable fields

- background in both theoretical and applied aspects of computer science

- expertise/experience in the following is considered a plus

     - semantic web technologies, knowledge graphs (KG), data management and/or machine learning (ML)

     - software development with e.g., Python, Java, JavaScript 

     - Web and/or database technologies

- highly motivated to conduct research and passionate for discovering new things

- ability to work in a team but also independently

- good oral and written communication skills in English


- flexible working hours and home office arrangements

- a diverse and multi-disciplinary research group 

- a young but fast growing team

- attractive and international environment with scientific freedom

- collaborations with international research labs and experts 

- support for your professional travel and for professional/career development


To apply, please provide:

  • your curriculum vitae,
  • your BSc/MSc diploma/certificate
  • your BSc/MSc grade transcripts,
  • your BSc/MSc theses as PDF files or a URL linking to it
  • a motivation letter explaining why you are the right candidate for the position
  • two references (names & contact details)
  • If available selected publications, reference to already developed applications or projects (URL, GitHub, technical documentation) clarifying your role


The application deadline is 28 February 2022, but earlier applications are encouraged and will be considered as soon as they are received. The position can be closed earlier in case a suitable candidate has been found.

Even if you do not completely fit the above description, you can always apply! We value curious minds who look for innovative solutions.

For more information please contact Prof. dr. ir. Anastasia Dimou, mail:
You can apply for this job no later than February 28, 2022 via the online application tool
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at
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