[Apologies for cross postings]
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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
welcome:
- Neural models for the recognition and generation of socio-emotional
behaviors
- 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
Important Dates
- March 20th, 2023: closing date for applications
- April 20th, 2023: hearings of the preselected candidates
Context
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] .
Ecosystem
Telecom Paris [4] is a founding member of the Institut Polytechnique de Paris
(IP Paris, https://www.ip-paris.fr/en/), 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 »
(https://www.telecom-paris.fr/times-higher-education-telecom-paris-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
(https://www.hi-paris.fr), 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 players
- 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 sessions...)
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 Spécialisés”)
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
NOTE:
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:
https://institutminestelecom.recruitee.com/o/enseignantchercheur-en-machine-learning-pour-la-modelisation-des-comportements-socioemotionnels-a-telecom-paris-cdi
English Version:
https://institutminestelecom.recruitee.com/l/en/o/enseignantchercheur-en-machine-learning-pour-la-modelisation-des-comportements-socioemotionnels-a-telecom-paris-cdi
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)
[1]
https://www.telecom-paris.fr/en/research/laboratories/information-processing-and-communication-laboratory-ltci/research-teams/signal-statistics-learning/social-computing
[2]
https://www.telecom-paris.fr/en/research/laboratories/information-processing-and-communication-laboratory-ltci/research-teams/signal-statistics-learning
[3]
https://www.telecom-paris.fr/fr/lecole/departements-enseignement-recherche/image-donnees-signal
[4]
https://www.telecom-paris.fr/en/research/laboratories/information-processing-and-communication-laboratory-ltci
[5] https://www.telecom-paris.fr/en/home
[6]
https://www.telecom-paris.fr/en/the-school/teaching-research-departments/economics-and-social-sciences
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