- Computer science
- Associate professor
- Assistant Professor
Apply by: 2023-03-25
Assistant/ Associate Professor in Machine Learning for Social Computing at Télécom Paris - CDI
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.
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:
Required skills, experience, and knowledge:
Preferred skills, experience, and knowledge:
Other abilities and skills:
Applicants should submit a single PDF file that includes and using the following link: