The EFL project is looking to hire a research engineer in computational linguistics and natural language processing. The successful candidate will be responsible for assisting and supporting EFL researchers.
Duration of contract : 12 months full-time (renewable)
Gross monthly salary : between 2900 and 3300 euros (according to experience)
Net monthly salary : between 2400 and 2700 euros (according to experience)
Start date : February/March 2026
Place of work : Paris Cité University – Olympe de Gouges building – 75013 Paris (France)
Required diploma : master as a minimum, PhD expected
1/ Context
Empirical Foundations of Linguistics EFL, funded by the IdEx Université Paris Cité, is one of the largest consortiums in the language sciences across the world, with over 180 members, providing an excellent infrastructure for linguistics in the Paris region. It brings together expertise on more than 150 languages, and diverse methods of inquiry, thanks to its interdisciplinary perspective. Researchers in the consortium share an approach to language which is grounded in empirical data from corpora of varying sizes, from behavioral and neuroscientific experiments, from qualitative methods like interviews and surveys, combined with state of the art computational and statistical approaches. Collaboration across disciplines allows EFL to combine diverse methods to promote fundamental research.
2/ Job description
The main tasks the Research Engineer will be responsible for are:
– Assisting in the creation of datasets and corpora for automatic language processing
– Assisting in research projects on natural language processing for linguistic study purposes
– Helping to train linguistics researchers in the new methods and potentials of modern AI
– Helping to supervise students, particularly master’s students.
3/ Required skills
The engineer:
– will have proven expertise in natural language processing and large language models, ideally including written and spoken language processing.
– will have a background and/or interest in linguistics.
– will be able to demonstrate effective mathematical skills for machine learning and knowledge of computing hardware infrastructure.
– will have proven technical skills in Python programming, particularly in deep learning. He or she will have experience with dedicated libraries such as PyTorch and Hugging Face.
– will be able to conduct experiments involving large language models.
4/ Application information
Applications should be sent to christel.preterre@u-paris.fr, copy to benoit.crabbe@u-paris.fr and joseph.leroux@lipn.univ-paris13.fr , and should include:
– a detailed CV with list of publications
– a cover letter
– the names and emails of three referees that can be contacted for recommendation letters
Application deadline : December 15th, 2025 (11.59 pm – Paris time)