PhD vacancy on Graph-based information retrieval with LLMs

Application deadline: 2026-10-31 or until the vacancy is filled.
Type of contract: Full-time.
Employment: Temporary.
Starting date: September 1st, 2026 (or later, negotiable) .

We especially encourage applications by candidates from diverse groups; all are welcome in our team.

Job description

At Graph Intelligence we are looking for a researcher with a background in computer science and, more specifically, in artificial intelligence. Some prior familiarity with semantic technologies (e.g., knowledge graphs, RDF, Semantic Web) would be also beneficial but is not strictly necessary. As part of your research, you will advance the state of the art in knowledge graph construction for open-ended and specialised knowledge domains by relying on large language models to facilitate open information extraction on multimodal content, while also using existing schemas to enrich extracted pieces of information. You will integrate this knowledge graph construction methodology into a graph-enhanced retrieval augmented generation pipeline built around multi-agent orchestration and dynamic graph exploration to enable knowledge-aware question answering and information retrieval. Accomplishing this will require significant fluency in programming languages like Python, as well as prior familiarity with large language models and associated libraries (e.g., Huggingface transformers) and software frameworks (e.g., LangChain, Ollama).

Your profile

  • You need to hold a relevant master’s degree, e.g., a Master in Computer Science Engineering, Master of Science in informatics, Master in AI, etc. However, we are more interested in your experience and skills than the specific master's degree. Moreover, you have not been awarded a doctoral degree.
  • Your English is fluent, both speaking and writing.
  • You are a team player with good networking and reporting skills.

About Ghent University

Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most exciting employers in the area and offers great career opportunities.

With its 11 faculties and more than 85 departments offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students.

Our offer

  • We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which after a positive evaluation, will be extended to a total maximum of 48 months.
  • Your contract will start on September 1st, 2026 at the earliest.
  • The fellowship amount is 100% of the net salary of an AAP member in equal family circumstances. The individual fellowship amount is determined by the Department of Personnel and Organization based on family status and seniority. A grant that meets the conditions and criteria of the regulations for doctoral fellowships is considered free of personal income tax. Click here for more information about our salary scales
  • All Ghent University staff members enjoy a number of benefits, such as a wide range of training and education opportunities, 36 days of holiday leave (on an annual basis for a full-time job) supplemented by annual fixed bridge days, bicycle allowance and eco vouchers. Click here for a complete overview of all the staff benefits (in Dutch).
  • We offer a fully funded PhD position for full-time research in a highly international, renowned and friendly working environment, with a competitive salary at Ghent University. As a researcher you will publish and present your research results at major international conferences and in scientific journals in order to pursue your PhD degree and you will receive the possibility to follow various advanced training courses in Belgium and abroad. You are also expected to participate in outreach activities including, but not limited to, YouTube videos, social media updates, participation in public events and campaigns, as well as dissemination to popular press. Hence, a good team spirit, a good knowledge of English and effective communication skills (such as presenting and reporting) are of major importance for a successful collaboration.

Interested?

Send your application by email or any questions concerning this vacancy to Femke Ongenae, indicating "Job application: PhD vacancy on Graph-based information retrieval with LLMs" in the subject. Applications should include

  • an academic/professional resume (max. 2 pages),
  • a personal motivation letter (max. 2 pages), and
  • transcripts of study results.

After screening, selected candidates will be invited for an online interview as a first contact in a multi-stage selection process.