Associate Professor in Machine Learning at Telecom ParisTech, Paris, France

Telecom ParisTech’s Machine Learning, Statistics and Signal Processing Group (a.k.a S2A group) within the Information Processing and Communication Laboratory (french acronym LTCI) is inviting applications for a permanent (indefinite tenure) faculty position at the *Associate Professor* level (Maitre de Conferences) in *Machine Learning*.

The Telecom ParisTech (Grande Ecole) is considered to be the leading engineering school in digital technology, though its graduates integrate every professional field. Telecom ParisTech teaches its graduates innovation and entrepreneurship in the new digital world. It is an international and multidisciplinary digital technology research centre that attracts and trains around 300 doctoral students through research, about 60 % of whom are international students. Telecom ParisTech is one of the schools in the IMT (Institut Mines-Telecom) group and is a member of the internationally-renowned ParisTech network.

The successful candidate will be expected to:
- Develop groundbreaking research in the field of theoretical or applied machine learning, targeting applications that are well aligned with the topics of the S2A group and the Images Data & Signals department.
- Develop both academic and industrial collaborations on the same topic, including collaborative activities with other Telecom ParisTech research departments and teams, and research contracts with industrial players.
- Set up research grants and take part in national and international collaborative research projects.
- Participate in teaching activities at Telecom ParisTech and its partner academic institutions (as part of joint Master programs), especially in Machine Learning and Data Science, including life-long training programs (e.g. the local Data Scientist certificate).

The candidate does *not* need to speak French to apply, just to be willing to learn the language (teaching will be mostly given in English).

The application should include:
- A complete and detailed curriculum vitae
- A letter of motivation
- A document detailing past activities of the candidate in teaching and research: the two types of activities should be described with the same level of detail and rigor.
- The texts of the main publications
- The names and addresses of two referees
- A short teaching project and a research project (maximum 3 pages)

Applications are to be sent by e-mail to:

Application deadline: May 3, 2019
Hearings of preselected candidates: June 3, 2019

Contact: Stephan Clémençon (

See also:

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