Last application date Jun 30, 2024 00:00
Department TW05 - Department of Information Technology
Contract Limited duration
Degree Master Computer Science, Mathematics, Artificial Intelligence, or equivalent
Occupancy rate 100%
Vacancy type Research staff
PhD Researcher on Neuro-Symbolic Information Extraction Methods
Job description
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.
The IDLab Ghent research group is seeking a highly motivated and talented PhD student to join the Text-to-Knowledge (T2K) team. The team has worked for many years on natural language processing tasks (NLP), especially on advanced information extraction. Over the last few years, T2K research tracks have widened towards other subfields of AI, including neuro-symbolic (NeSy) AI, and with health as an important application domain.
In this PhD you will focus on the combination of neural networks based information extraction and probabilistic reasoning. For advanced and domain-specific information extraction tasks (e.g., based on clinical notes from the ICU), the classical independent extraction of entities and relations from text no longer suffices, even when augmented with the power of large language models. The joint extraction of facts as well as reasoning over them based on expert knowledge, can be expected to lead to improved extraction accuracy. Designing such models is the key goal of this PhD research position.
The PhD is part of the ambitious Flanders AI Research programme. Within this context, you will be able to interact with both fellow researchers across flemish universities and industry stakeholders throughout Flanders. As part of the IDLab text-to-knowledge team (T2K) you will also benefit from input/feedback from other PhD students working on related topics.
Your main tasks will include:
In addition to your primary research responsibilities, you will actively contribute to the educational mission of our institution by providing (limited) support for courses in the area of AI, such as Natural Language Processing. In addition, you can take on a mentoring role by supervising master theses related to the subject of this PhD.
Job offer
Job profile
We are looking for a highly creative and motivated PhD student with the following qualifications and skills:
How to apply
Send your application by email to prof. Thomas Demeester (thomas.demeester@ugent.be) and prof. Chris Develder (chris.develder@ugent.be), with the subject ‘Application PhD at T2K (NeSy AI)’.
Applications should include:
After a first screening, selected candidates will be invited for an interview (in person or remotely via MS Teams).
Application deadline: June 30, 2024.
Start of the Ph.D. research: Possible as early as May 2024, but we aim for September 2024, for recently graduated students.
More info on
https://t2k.idlab.ugent.be/
https://www.flandersairesearch.be/en
https://www.lonelyplanet.com/belgium/flanders/ghent
Ghent University is one of the top 100 universities in the Dutch language area, with more than 44,000 students and 15,000 staff members.
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