Quick facts

    • Palaiseau

Categories:

  • Computer science

Subjects:

  • Associate professor
  • Assistant Professor

Apply by: 2023-03-25

Assistant/ Associate Professor in Machine Learning for Social Computing at Télécom Paris - CDI

Published 2023-01-24

Job description

Who are we?

A school of the Institut Mines-Télécom, Télécom Paris is the leading French school for generalist digital engineers. With its excellent teaching and research, Télécom Paris is at the heart of a unique innovation ecosystem based on the transversality of its training, its research departments and its business incubator.

A founding member of the Institut Polytechnique de Paris, Télécom Paris is positioned as an open-air laboratory for all the major technological and societal challenges.

SCIENTIFIC CONTEXT

The Information Processing and Communication Laboratory (LTCI) is Telecom Paris’ in-house research laboratory. Since January 2017, it has continued the work previously carried out by the CNRS joint research unit of the same name. The LTCI was created in 1982 and is known for its extensive coverage of topics in the field of information and communication technologies. The LTCI’s core subject areas are computer science, networks, data science, signal and image processing and digital communications. The laboratory is also active in issues related to systems engineering and applied mathematics.

The open position is part of the research strategy of LTCI and Télécom Paris around Data Science,

Machine Learning and Artificial Intelligence. The position will be hosted by Social Computing group of the Statistics, Signal processing and Machine Learning (S²A) team, within the Images, Data & Signals department. In particular, research at the S²A team is characterized by a fruitful interplay between statistics and probabilistic modeling, machine learning, signal processing, audio data analysis and social data analysis. The associate professor will contribute as well to the dynamics of the Institut Polytechnique de Paris with a very rich eco-system where projects in Data Science abound, whether it be between academic teams or with industrial groups.

PREFERED SCIENTIFIC EXPERTISE

The recruited researcher will develop her/his research in machine learning for the modelling of social and/or emotional behaviour. She/he may develop one of the following sub-research areas:

  • Neural models for behaviour recognition and generation
  • 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
  • Job requirements

    Required skills, experience, and knowledge:

  • In-depth theoretical or applied knowledge in their field of expertise;
  • An excellent command of spoken and written English.
  • If the candidate is does not speak French, from the moment they are hired they must commit to reaching a professional proficiency of French as quickly as possible while under contract.
  • Preferred skills, experience, and knowledge:

  • Post-doctoral or international experience in an academic or industrial laboratory is appreciated;
  • Teaching experience.
  • Other abilities and skills:

  • The ability to be an active team member in a diverse faculty, staff, and student environment;
  • Strong teaching, pedagogical, and mentoring capabilities;
  • Superb written and interpersonal communication skills.
  • Applicants should submit a single PDF file that includes and using the following link:

  • A cover letter,
  • A curriculum vitae,
  • Statements of research and teaching interests (4 pages),
  • Three publications,