2 PhD candidates on knowledge graphs

The work will be performed within the research groups DTAI and EAVISE, at the Department of Computer Science at KU Leuven and the researcher will also be affiliated with Flanders Make and Leuven.AI.

The Declarative Languages and Artificial Intelligence (DTAI - https://dtai.cs.kuleuven.be/) 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 - https://iiw.kuleuven.be/onderzoek/eavise) is a multidisciplinary group focuses on applications of advanced computer vision and artificial intelligence, bridging the valley of death between academics and industry.

Flanders Make (https://www.flandersmake.be/nl) is a strategic research center in Flanders focused on supporting and strengthen the long-term competitiveness of the manufacturing industry through technological innovation and pre-competitive, industry-driven, and excellent research.
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Responsibilities

The researcher is expected to

- conduct high quality research related to the topic.

- follow up with the project and other activities in collaboration with Flanders Make.

- contribute to the dissemination of project results through events, publications and international conferences.

- be involved in the teaching activities of the group.

- work in a multidisciplinary and international team.

Profile

We are looking for candidates who work independently while embracing collaboration, and who have experience in the following areas:

- Semantic web technologies (RDF, SPARQL, SHACL, etc.)

- Knowledge graphs

For the streaming knowledge graphs position, the PhD candidate would be good to have:

- basic understanding of concepts related to data engineering

- knowledge on stream processing technologies

For the automated understanding of legal documents, the PhD candidates would be good to have:

- Knowledge of basic concepts related to natural language processing

- Experience working with language models (LMs)

Your qualifications:

- MSc or PhD in Computer Science, Data Science, AI or comparable fields;

-  background in both theoretical and applied aspects of computer science;

- motivation to conduct research and passionate for discovering new things;

- capacity to abstract problems and generalize solutions;

- ability to work in a team but also autonomous and independently

- some level of leadership towards managing students and projects;

- good oral and written communication skills in English

Offer

Our offer:

- 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.

Interested?

For more information please contact Prof. dr. ir. Anastasia Dimou, mail: [email protected].

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