LINGUIST List 32.965

Tue Mar 16 2021

Jobs: Computational Linguistics; Neurolinguistics; Psycholinguistics: Full Professor, Université de Paris

Editor for this issue: Becca Morris <>

Date: 16-Mar-2021
From: Benoit Crabbé <>
Subject: Computational Linguistics; Neurolinguistics; Psycholinguistics: Full Professor, Université de Paris, France
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University or Organization: Université de Paris
Department: Department of linguistics (UFRL)
Job Location: Paris, France
Web Address:
Job Title: Professor

Job Rank: Full Professor

Specialty Areas: Computational Linguistics; Neurolinguistics; Psycholinguistics


We are currently witnessing a tremendous increase in the amounts of data being produced and/or collected by various applications and scientific disciplines. This has been made possible with the recent advances in sensing instruments that allow the observation of different real-world phenomena at a scale and granularity that has never been possible, which in turn enables data-driven scientific discovery. In other words, we are now in a position to exploit the wealth of data to refine existing, or build new theoretical models, which describe and explain various phenomena in the real world.

In order to address these challenges, we need to turn our attention to a set of new classes of Artificial Intelligence (AI), Machine Learning (ML) (both supervised and unsupervised; including deep learning), and scalable data analytics techniques, which produce very promising initial results.

The candidate will have a principal affiliation to a research lab of their main discipline, and will also be affiliated to the Data Intelligence Institute of Paris (diiP). The candidate will have recognized research work and convincing interest in interdisciplinary work, for developing novel methods in the intersection of AI/ML/statistical learning/data analytics/data intelligence that address fundamental challenges in modern science, industry, and society.

Below you find the profile for a candidate in Linguistics; candidates with other profiles that fit the perspective discussed above in particular within the fields of Particle, or Astroparticle Physics and Astronomy or Computer Science will be examined for this position.

Linguistics traditionally makes the fundamental hypothesis that language has structure, in particular that sentences are recursively structured as trees. Some of the structural constraints have been claimed to underlie all human languages and not to be learnable. However, the recent emergence of deep learning and unsupervised methods, such as recurrent networks and transformers, provide new models, hypotheses and research directions that can be confronted with such approaches and may allow a deeper understanding of natural languages. The selected candidate will have a proven research program designing, analyzing and interpreting such models based on large corpora and/or experimental data (Eye Tracking, EEG, NIRS, fMRI) combining theory and experimentation and taking the diversity of languages into account. He or she is expected to have significant expertise in current research directions both in linguistics and in data science.

Depending on the profile of the successful candidate, teaching will take place in one or more relevant departments, at both the undergraduate and graduate levels. Moreover, in collaboration with diiP, the candidate will propose graduate courses on data analytics/intelligence that could be relevant to students from different research fields and disciplines.

Teaching in linguistics concerns:
- Master Linguistique Théorique et Expérimentale
- Master Linguistique Informatique
- Master in Information Technology

The position is published on the French Galaxie site (

Applications have to be performed online from the Galaxie web site.

Applicants are strongly advised to contact Barbara Hemforth at the contact information provided below.

Application Deadline: 23-Apr-2021

Web Address for Applications:
Contact Information:
Mrs Barbara Hemforth

Page Updated: 16-Mar-2021