Associate professor position at Télécom Paris/Institut Polytechnique de Paris - France

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Florence d'Alché-Buc

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Aug 20, 2021, 4:39:24 PM8/20/21
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Associate Professor in Machine Learning

The group dedicated to Research in Machine Learning, Statistics & Signal Processing (the research group S2A), within the Image, Data & Signal department (the IDS Dpt.) and the Laboratoire Traitement et Communication de l'Information (LTCI) of Télécom Paris, founding member of Institut Polytechnique de Paris (France) is recruiting an Associate Professor in Machine Learning.

Ecosystem

Télécom Paris is a founding member of the Institut Polytechnique de Paris (IP Paris), a world-class scientific and technological institution. Located at the Plateau de Saclay closed to Paris-Saclay University, this Institution is a partnership between Ecole Polytechnique, ENSTA Paris, ENSAE Paris, Télécom Paris, Télecom SudParis, with HEC as a key partner.

Regularly ranked as one of the best engineering schools in France, Télécom Paris is recognized for its excellent training, its very good employability rate with high salaries, its high-level research and a very close proximity to companies.

The THE (Times Higher Education) ranks Télécom Paris 2nd best French engineering school, 5th better French university and  6th « best small university ». The newly created institution IP Paris was ranked in the top 50 best universities in the QS world university ranking.


Research

The research activities will rely on the team expertise, which covers both theoretical and methodological works in Machine Learning, at the interface of computational/mathematical statistics, stochastic modelling, time-series analysis, signal processing and optimization. Expertise in one of the following subjects at least is desired:
  • trustworthy machine learning (reliable, robust, fair, explainable) 
  • online learning, reinforcement learning 
  • structured prediction / multi-task 
  • large scale learning, frugal learning 
  • time-series, spatio-temporal data 
Research results will be published in leading journals and conferences. Activities in scientific bodies, organization of special sessions, workshops as well as involvements in committees of scientific conferences will contribute to the visibility. The recruit is expected to contribute to scientific projects with industrial partners, around very challenging subjects such as the scientific topics of the chair https://datascienceandai.wp.imt.fr/en/home-2/ . This may be possibly done by participating to industrial chair programs, bilateral contracts, proposals to national and international research project calls or by co-supervising PhD theses (including CIFRE theses, involving industrial partners).

Teaching 
In the fields of Machine Learning, teaching at Telecom Paris mainly occurs at the level of bachelor or master courses (e.g. probability, statistics, optimization), as well as in specialized training courses (e.g. machine learning, nonparametric statistics). The master courses also include courses in masters of Institut Polytechnique de Paris. The members of the S2A team are also involved in professional masters of Telecom Paris fully dedicated to Big Data (“Management and Analysis of Big Data”) and AI, as well as in certificates “Data Scientist” and “AI”: they are in charge of the statistics and machine-learning courses. The candidate will participate to these teaching activities.

Skills
  • Education : PhD or equivalent
  • An international postdoctoral experience is welcome but not mandatory
  • English: fluent; French: the candidate should be willing to learn it

Knowledge and experience required
  • Research publications in Machine-Learning
  • Teaching experience at the university level

Other Qualities and skills
  • Capacity to work in a team and develop good relationships with colleagues and peers
  • Excellent writing and pedagogical skills

Additional information
In the context of the Institut Polytechnique de Paris, the activities in Data Science and AI of the S2A team benefit from the center Hi!Paris (https://www.hi-paris.fr), offering seminars, workshops and fundings through calls for project 

The position
• Permanent position
• 19 place Marguerite Perey - 91120 Palaiseau - France


Application
Application must be performed through one of the websites


Applicants should submit a single PDF file that includes:
- cover letter,
- curriculum vitae,
- statements of research and teaching interests (4 pages)
- three publications
- contact information for two references

Important dates
  • September 24, 2021 : application deadline
  • October 25-26 and November 4-5: interviews (by visio-conference eventually)
  • Winter 2021/22: beginning

Contact :
Stephan Clémençon (Head of the S2A group)
Florence d’Alché (Holder of the Chair DSAIDIS)
For more info on being an Associate Professor at Telecom Paris, contact r...@telecom-paris.fr

Other web Sites :
Département Traitement du Signal et des Images
Team S2A
Télécom Paris

== please do not hesitate to directly send me an email before applying ==

Prof. Florence d'Alché
Chair on Data Science and Artificial Intelligence
Dept Image, Data, Signal, LTCI.
Télécom Paris, Institut Polytechnique de Paris
19, Place Marguerite Perey
91120 Palaiseau - France
https://perso.telecom-paristech.fr/fdalche/

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