Offre en lien avec l’Action/le Réseau : – — –/– — –
Laboratoire/Entreprise : Télécom Paris, LTCI
Durée : 3 ans
Contact : olivier.fercoq@telecom-paris.fr
Date limite de publication : 2022-03-15
Contexte :
Telecom Paris’s [1] machine learning, statistics and signal processing group (a.k.a S²A group) [2], within the laboratoire de traitement et communication de l’information (LTCI) [4], is inviting applications for a tenure track faculty position at the *Associate Professor* level (Maitre de Conferences) in *Numerical optimization for frugal artificial intelligence*.
Scientific context
Recent advances in computing and widespread access to massive digital information are leading to an unprecedented deployment of optimization algorithms in many domains (e.g. healthmedicine, (cyber-) security, intelligent transport, predictive maintenance, etc.). Most of the algorithmic approaches developed over the last decade have mainly aimed to solve scaling issues, so as to be able to exploit Big Data in an exhaustive way. The objective of the future researcher will be to develop numerical optimization in the service of the mathematics of frugal artificial intelligence. This can be attained by sparse models or online algorithms but also by studying the interplay between artificial intelligence models and the optimization algorithms used to solve them. Moreover, the optimization of neural networks is a central problem for the community and requires to set up various ways of reducing the computation time or memory footprint.
Sujet :
Main missions
The recruit will be expected to:
Research activities
• Develop groundbreaking research in the field of numerical optimization and frugal artificial intelligence. This includes the design of numerical optimization algorithms, stochastic optimization and artificial intelligence models that are efficiently using data or computing resources. Other expertise of interest include Monte Carlo methods, optimal transport, sequential learning, active learning, sketching methods, non-differentiable functions and statistical learning theory.
• Develop both academic and industrial collaborations on the same topic, including collaborative activities with other Telecom Paris research departments and teams, and research contracts with industrial players
• Set up research grants and take part in national and international collaborative research projects
Teaching activities
• Participate in teaching activities at Telecom Paris and its partner academic institutions (as part of joint Master programs), especially in machine learning and Data science, including life-long training programs (e.g. the local Data Scientist certificate)
Impact
• Publish high quality research work in leading journals and conferences
• Be an active member of the research community (serving in scientific committees and boards, organizing seminars, workshops, special sessions…)
Profil du candidat :
As a minimum requirement, the successful candidate will have:
• A PhD degree
• A track record of research and publication in one or more of the following areas: numerical optimization, stochastic optimization, frugal artificial intelligence
• Experience in teaching
• Good command of English
The ideal candidate will also (optionally) have:
• Experience in Monte Carlo methods, optimal transport, sequential learning, active learning, sketching methods, non-differentiable functions and statistical learning theory.
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
• Good writing and pedagogical skills
Formation et compétences requises :
PhD degree
Adresse d’emploi :
Télécom Paris
19 place Marguerite Perey
91123 Palaiseau
France
Document attaché : 202212091436_tenure_track_telecom_paris_optimization_frugal_AI.pdf