[Apologies for cross postings]
******************************************************** Faculty position (Associate professor, tenure position) at Telecom Paris in Machine Learning for Natural Language Processing
Version française : [ https://institutminestelecom.recruitee.com/o/assistantassociate-professor-in... | https://institutminestelecom.recruitee.com/o/assistantassociate-professor-in... ]
English Version: [ https://institutminestelecom.recruitee.com/l/en/o/assistantassociate-profess... | https://institutminestelecom.recruitee.com/l/en/o/assistantassociate-profess... ]
Telecom Paris has a new permanent (tenure) faculty position (Associate Professor/ “Maître/Maîtresse de conférences”) in Machine Learning for Natural Language Processing. Applicants from the following sub-research areas are particularly welcome: - Generative models, Conversational AI
- Bias and Explainability in AI
- Frugal Machine Learning
Important Dates September 5, 2025 : closing date for applications
Main missions - Participate in the design and implementation of teaching programs in the field of machine learning for language processing - Conduct research in your scientific field - Participate in the development of partnerships, collaborations and contractual relationships in your scientific field - 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: machine learning, natural language processing, generative 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 expected skills 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) Context: - S²A (machine learning, statistics and signal processing) group [ https://www.telecom-paris.fr/en/research/laboratories/information-processing... | https://www.telecom-paris.fr/en/research/laboratories/information-processing... ] - LTCI (laboratoire de traitement et communication de l’information) [ https://www.telecom-paris.fr/en/research/laboratories/information-processing... | https://www.telecom-paris.fr/en/research/laboratories/information-processing... ] - Télécom Paris [ https://www.telecom-paris.fr/en/home | https://www.telecom-paris.fr/en/home ]
Ecosystem: Télécom Paris is a founding member of the Institut Polytechnique de Paris (IP Paris, [ https://www.ip-paris.fr/en/ | 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, [ https://www.telecom-paris.fr/times-higher-education-telecom-paris-6th-best-s... | https://www.telecom-paris.fr/times-higher-education-telecom-paris-6th-best-s... ] )
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 ( [ https://www.hi-paris.fr/ | https://www.hi-paris.fr/ ] ), offering seminars, workshops, and fundings through calls for project.
How to apply?
Applications must be submitted via one of the following websites:
French Version [ https://institutminestelecom.recruitee.com/o/assistantassociate-professor-in... | https://institutminestelecom.recruitee.com/o/assistantassociate-professor-in... ]
English Version [ https://institutminestelecom.recruitee.com/l/en/o/assistantassociate-profess... | https://institutminestelecom.recruitee.com/l/en/o/assistantassociate-profess... ]
Applicants should submit: - Cover letter, - Curriculum vitae, - Statements of research and teaching interests (4 pages maximum each) - Three publications - Contact information for two references
Contacts - please contact us directly before applying: Maria Boritchev Matthieu Labeau Stéphan Clémençon (Head of the S²A group) Florence Tupin (Head of the IDS department)