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:

• Reviewing literature on neuro-symbolic AI (with focus on the combination of neural encoders and probabilistic graphical models) and clinical information extraction.
• Creating new benchmarks for advanced clinical information extraction (in collaboration with medical experts from the Ghent University Hospital), and contributing to the evaluation of proof-of-concept implementations with the domain experts.
• Designing new NeSy AI methodologies for extending neural NLP models with explicit reasoning capabilities. 
• Writing high quality publications, targeting top journals and international conferences.

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

We offer the opportunity to do this research in an international and stimulating environment. Ghent University consistently ranks among the best 100 universities in the world. Located in the heart of Europe,  Ghent is a beautiful and welcoming city  with plenty of cultural and leisure activities.

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 1/5/24 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).

Job profile

We are looking for a highly creative and motivated PhD student with the following qualifications and skills:

• You have (or will obtain before the starting date, i.e., a few months after application) a (European) master's degree in computer science, Mathematics, Artificial Intelligence, or equivalent, with excellent (‘honors’-level) grades. Your degree must be equivalent to 5 years of studies (bachelor + master) in the European Union.
• You have a strong background in either classical AI (including logic reasoning, graphical models) and/or deep learning (with focus on NLP), and are interested in advancing the state-of-the-art in both fields.  Hands-on experience in deep learning frameworks such as PyTorch or Tensorflow is a plus.
• You have excellent computer science skills (python, git, linux, etc.).
• You have strong analytical skills to interpret the obtained research results.
• You are a team player and have strong communication skills.
• Your English is fluent (C1 CEFR level) both speaking and writing. Knowledge of Dutch is an important asset, for the collaboration with the Ghent University Hospital, involving Dutch clinical notes.

How to apply

Send your application by email to prof. Thomas Demeester and prof. Chris Develder, with the subject ‘Application PhD at T2K (NeSy AI)’.

Applications should include:

• A motivation letter (highlighting why you believe you are a suitable candidate for the position & why you want this position).
• An academic/professional resume.
• Transcripts of study results.
• At least two reference contacts.
• A short overview describing your earlier research or technical work (e.g., scientific papers, master thesis, report on project work, etc.). Note: This may deviate from the topic of the advertised position.

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