Permanent position in the Samovar lab – HPC and/or ML profile
Department INFormatique (Computer Science), SAMOVAR lab, ACMES team
Keywords: High Performance Computing and/or Machine learning.
- President of the recruitment committee: Mathilde Mougeot, professor, ENSIIE, Mathilde.email@example.com
- Research: François Desbouvries, Director of SAMOVAR, firstname.lastname@example.org
Detailed teaching profile:
The candidate will teach in the cursus provided at ENSIIE:
- engineer training under student status (FISE),
- engineer training under apprenticeship status and continuing education (FISA-FC).
The candidate will teach in particular in the first-year program of FISE and/or FISA-FC, as well as in the CIDM (Intensive Computation and Massive Data) and/or Applied Mathematics.
The candidate will be actively involved in the pedagogical support for engineering students through the monitoring of trainees, the monitoring of apprentices and various projects.
The candidate must be able to teach in English and in French. The candidate will participate in administrative tasks.
Detailed research profile:
The candidate will develop her/his research activities in the SAMOVAR laboratory, located at Télécom SudParis (http://samovar.telecom-sudparis.eu). This laboratory hosts researchers from Telecom SudParis and ENSIIE. The desired candidate will integrate Samovar laboratory and should have strong skills in one of the fields in High Performance Computing and/or Machine learning.
École Nationale Supérieure d’Informatique pour l’Industrie et l’Entreprise (ENSIIE) is one of the oldest and leading French institutions offering engineering degrees in Computer Science and Applied Mathematics. Since its creation in 1968, over 4,000 engineers have graduated from this institution. ENSIIE is a public institution under the supervision of the Ministry of Higher Education and Research, and is a member of the Conférence des Grandes Écoles (CGE). The degree is recognised by the Commission des Titres d’Ingénieurs (CTI). ENSIIE is also an associate school of Institut Mines-Télécom and is an associate member of Université Paris-Saclay.
Web Site: www.ensiie.fr