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KU Leuven

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Postdoctoral Researcher in Natural Language Processing at KU Leuven KU Leuven in Belgium

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral employment at salary scale 44 (postdoctoral assistant), initially for 1 year with possible extension after positive evaluation depending on available funding. Competitive salary and benefits include hospitalization insurance, eco-vouchers, commuting reimbursement, inexpensive meals, and bicycle access.

Deadline

Oct 25, 2026

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Country

Belgium

University

KU Leuven

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Keywords

Computer Science
Education
Deep Learning
Natural Language Processing
Nlp
Computational Linguistics
Conversational Agents
Large Language Models
ML

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About this position

KU Leuven is advertising a Postdoctoral Researcher in Natural Language Processing position at Itec, a research group at KU Leuven and imec, located on KU Leuven Campus Kulak in Kortrijk, Belgium. The role sits within the language & technology team and the Linguistics department, with a focus on linguistically grounded, applied NLP research.

The successful candidate will work on industrial and applied research projects in the domains of education, training, and health. Research tasks include literature reviews, data collection and analysis, development and evaluation of NLP algorithms and models, experimental evaluation, documentation, and dissemination through conferences and publications. Mentioned NLP topics include ASR, local LLMs, open-domain and domain-specific language models, question answering, conversational agents, automated answer scoring, and feedback generation.

The position also includes substantial project management and coordination responsibilities: monitoring milestones and deliverables, writing progress reports, coordinating partners, supporting proposals, and facilitating collaboration among academic and industrial stakeholders.

Applicants should hold a PhD in computer science, linguistics, or a related field, with specialization in natural language processing and computational linguistics. Strong Python skills and experience with machine learning, deep learning, and tools such as scikit-learn, PyTorch, transformers, and LangChain are expected. Familiarity with Git, Docker, Kubernetes, CI/CD, and HPC tools such as GPU/CUDA/Slurm is desirable. English fluency is required, and Dutch is preferred.

This is a full-time postdoctoral appointment at salary scale 44, initially for 1 year with possible extension after positive evaluation and depending on available funding. KU Leuven also mentions additional benefits such as hospitalization insurance, eco-vouchers, commuting reimbursement, inexpensive meals, and bicycle access.

Deadline: 2026-10-25 23:59 CET. Applications must be submitted via the KU Leuven online application tool; email applications are not accepted.

Funding details

Full-time postdoctoral employment at salary scale 44 (postdoctoral assistant), initially for 1 year with possible extension after positive evaluation depending on available funding. Competitive salary and benefits include hospitalization insurance, eco-vouchers, commuting reimbursement, inexpensive meals, and bicycle access.

What's required

Applicants must hold a PhD in computer science, linguistics, or a related field, with specialization in natural language processing and computational linguistics. Experience or interest in Educational NLP and/or Industrial NLP is expected. Strong Python programming skills are required, along with knowledge of machine learning and deep learning and tools such as scikit-learn, PyTorch, transformers, and LangChain. Familiarity with Git, Docker, Kubernetes, CI/CD, GPU/CUDA/Slurm, and some full-stack development is desirable. Candidates should have strong analytical and problem-solving skills, be able to work independently and in teams, and ideally have experience in multi-partner project coordination. Fluency in English is required; Dutch is preferred.

How to apply

Apply online through the KU Leuven application tool; email applications are not accepted. For questions about the position, contact Anaïs Tack or Ine Windey by email. For questions about the application procedure, use [email protected].

More information can be found here

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