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PhD: Constraint-Based Neural Language Models for Creative Language Generation

KU Leuven · Louvain

🇬🇧 English
Python PyTorch deep learning natural language processing

Job description

About the role

The Centre for Computational Linguistics at KU Leuven, within the ERC‑funded TENACITY project, is looking for a PhD researcher to investigate constraint‑based neural language models for creative language generation. The candidate will work on integrating constraints into transformer architectures to enable novel, expressive text generation.

Key responsibilities

  • Design and implement methods that embed linguistic or semantic constraints into transformer‑based language models.
  • Conduct experiments on creative language generation tasks and evaluate model performance.
  • Collaborate with a multidisciplinary team of PhD students and post‑docs, contributing to publications and conference presentations.
  • Document research findings and integrate them with the project’s latent semantic representation framework.

Required profile

  • Master’s degree in artificial intelligence, computational linguistics, computer science or a related field.
  • Strong background in neural networks and natural language processing.
  • Good understanding of large language model and transformer architectures.
  • Excellent programming abilities, preferably in Python and PyTorch.
  • High proficiency in English and solid communication skills.
  • Strong interest in language, linguistics and computational creativity.

Required skills

  • Python
  • PyTorch
  • Deep learning
  • Natural language processing

What we offer

  • Full‑time PhD position (initially 1 year, extendable to 4 years after a positive evaluation).
  • Access to high‑performance computing resources and ERC project funding.
  • Support for conference travel, academic training and workshops.
  • Opportunity to work in a vibrant, international research environment.

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KU Leuven

Louvain