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Research & development - Gent Zwijnaarde | Just now- Job descriptionGhent 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, but in recent years, also on other topics, such as conversational agents.
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 benefit from input/feedback from other PhD students working on related topics. Beyond our own team, you will also work closely with researchers from other groups at UGent, in particular those working on social robots at AIRO and LT3 (at the Department of Translation, Interpreting and Communication).
Your main tasks will include:
- Studying state-of-the-art techniques and benchmarks in the domain of (multi-modal) conversation modelling, both from the NLP perspective, and from the human-machine communication perspective.
- Design, implement, and train new models for conversational AI, with focus on the text modality, but including other modalities as well.
- Collaborate towards a proof-of-concept implementation of the created models for tests with human participants on a real-world use case.
- Writing high quality publications, targeting top journals and international conferences.
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 a strong background in machine learning, including Natural Language Processing.
- You have excellent coding skills; hands-on experience in deep learning frameworks such as PyTorch or Tensorflow is a plus.
- 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 practical use case collaboration.
How to apply
Applications should include:
- 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.
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.
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