Faculty position at Telecom Paris in Machine Learning for Natural Language Processing

Faculty position at Telecom Paris in Machine Learning for Natural Language ProcessingTelecom Paris has a new permanent (tenure) faculty position (Associate Professor/"Maître de conférences") in Machine Learning for Natural Language Processing. Applicants from the following sub-research areas are welcome:Natural language and speech processingLarge Language ModelsGenerative models, Conversational AIBias and Explainability in AIFrugal Machine LearningImportant Dates:March 13th, 2023: closing date for applicationsApril 24th, 2024: hearings of the pre-selected candidatesMain missions/Research activitiesDevelop groundbreaking research in the field of machine learning applied to natural language processing.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), 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 activitiesParticipate 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 profileAs 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 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 positionPlace of work: Saclay (Paris outskirts), France.ContextTélécom 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 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 best 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 funding through calls for projects.How to apply?Applications must be submitted via one of the following websites:Cover letter,Curriculum vitae,Statements of research and teaching interests (4 pages maximum each)Three publicationsContact information for two referencesContacts - please do not hesitate to directly contact us before applying:Matthieu LabeauStéphan Clémençon (Head of the S²A group)Florence Tupin (Head of the IDS department) #J-18808-Ljbffr