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ISCApad Archive  »  2023  »  ISCApad #301  »  Jobs  »  (2023-02-06) Associate professor (tenure position) @Telecom Paris in Machine Learning for Socia lComputing

ISCApad #301

Thursday, July 06, 2023 by Chris Wellekens

6-13 (2023-02-06) Associate professor (tenure position) @Telecom Paris in Machine Learning for Socia lComputing

Faculty position (Associate professor, tenure position) at Telecom Paris in

Machine-Learning for Social Computing.

Telecom Paris has a  new permanent (tenure) faculty position (Associate
Professor/ “Maître de conférences”) in the area of **machine learning for
social computing**. Applicants from the following sub-research areas are


   Neural models for the recognition and generation of socio-emotional

   Natural language and speech processing

   Dialogue, conversational systems, and social robotics

   Reinforcement learning for dialogue

   Sentiment analysis in social interactions

   Bias and explainability in AI

   Model tractability, multi-task learning, meta-learning


between 40,58 k€ and 58,67 k€ depending on profile and experience

Important Dates


   March 20th, 2023: closing date for applications

   April 20th, 2023: hearings of the preselected candidates


Social Computing team  [1] -  S²A (machine learning, statistics and signal
processing) group [2] - LTCI (laboratoire de traitement et communication de
l’information) [3] - Telecom Paris [4] .


Telecom Paris [4] 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 close 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 its 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.

In the context of the Institut Polytechnique de Paris, the activities in
Data Science and AI of the team benefit from the center Hi!Paris (, offering seminars, workshops, and fundings
through calls for project

Main missions/Research activities


   Develop groundbreaking research in the field of machine learning applied
   to Social Computing, which includes: natural language and speech
   processing, dialogue, conversational systems, and social robotics,
   reinforcement learning for dialogue, sentiment analysis in social
   interactions, bias and explainability in AI, model tractability, multi-task
   learning, meta-learning

   Develop both academic and industrial collaborations on the same topic,
   including collaborative activities with other Telecom Paris research
   departments and teams (including social sciences researchers of economics
   and social sciences department [6]), and research contracts with industrial

   Set up research grants and take part in national and international
   collaborative research projects

   Publish high-quality research work in leading journals and conferences

   Be an active member of the research community (serving on scientific
   committees and boards, organizing seminars, workshops, and special

Main missions/Teaching activities

 Participate in teaching activities at Telecom Paris  and its partner
academic institutions (as part of joint Master programs), especially in
natural language processing, speech processing, machine learning, and Data
Science, including life-long training programs (e.g. the local “Mastères

Candidate profile

 As a minimum requirement, the successful candidate will have:


   A Ph.D. degree

   A track record of research and publication in one or more of the
   following areas: conversational artificial intelligence, machine learning,
   natural language processing, speech and signal processing, human-agent
   interactions, social robotics

    Experience in teaching

   An international postdoctoral experience is welcome but not mandatory

   Excellent command of English


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)

Other skills expected include:

•    Capacity to work in a team and develop good relationships with
colleagues and peers

•    Excellent writing and pedagogical skills

More about the position

•    Place of work: Saclay (Paris outskirts)

 How to apply?

Applications must be submitted via one of the following websites:

French Version:

English Version:

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

Contacts:  == please do not hesitate to directly contact us before applying

Chloé Clavel (Coordinator of the Social Computing team)

Stéphan Clémençon (Head of the S²A group)

Florence d’Alché-Buc  (Head of the IDS department)






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