Machine Learning

Assistant or Associate Professor position M/F (Ref: DS/PM/PROF/112023)


Created in 2016, the Data Science department gathers 7 professors and more than 20 researchers and engineers, whose expertise covers a wide range of topics, including: Machine Learning, Bayesian Inference, Computer Simulation, Knowledge and Information Management, Database systems, Novel Hardware (such as synthetic DNA) for long-term storage, and Artificial Intelligence for Health. Thanks to contractual research with industry and publicly funded projects, our application domains span a large spectrum, going from ICT, to Automotive, Creative, and Digital Preservation industries, as well as Bioinformatics, Life and Environmental sciences and Computational Fact Checking, to name a few.

We are looking for a (Senior) Assistant or Associate Professor (Maître de Conférence - Classe 1 or Associate Professor, permanent position), in the field of machine learning. Our goal is to strengthen our contributions to the study, analysis and definition of novel theoretical and methodological approaches to statistical modeling and learning from data. A profile with an emphasis on an application domain related to machine learning will also be considered.


The new Professor is expected to contribute to teaching (possibly new) courses for EURECOM curricula, and to conduct research in (but not limited to) areas such as:

  • Statistical Learning Theory
  • Deep Learning, Bayesian Modeling and Inference
  • Generative Modeling and Representation Learning
  • Dynamical systems, Robotics
  • Natural Language Processing, Large Language Models
  • Computer Vision
  • Artificial Intelligence

EURECOM provides competitive salary conditions that depend on experience. The candidate will be expected to develop her/his activity (in harmony and collaboration with colleagues within the department, as well as across departments) through new funding from national, European, or other international grants, or through research collaborations with the industry.

Candidates should have a Ph.D. in computer science, or electrical engineering, or applied mathematics, or statistics, or physics and proven research experience in one or more of the fields outlined above. The candidate should have a solid publication track record in top-tier conferences and journals. The candidate should have previous experience in working on research projects, either in industry or academia, and on the preparation of successful grant proposals.


Applicants should send a curriculum vitae including a list of publications with emphasis on the five most important publications, a statement of proposed research, a statement of teaching activities, and the names and addresses of three to six references.
The complete file should be sent by e-mail to and under the reference (in the email subject) DS/PM/PROF/112023
Application Deadline: End of March 2024.
We will collect all files, proceed with a selection of a shortlist of candidates, and begin the interview process, with details to be communicated to shortlisted candidates.

The position is open until filled.

Start date: ASAP
Duration: Full time CDI contract


More info