Offre en lien avec l’Action/le Réseau : MACLEAN/Innovation

Laboratoire/Entreprise : LIPN UMR CNRS 7030
Durée : 6 mois
Contact : mustapha.lebbah@univ-paris13.fr
Date limite de publication : 2021-03-10

Contexte :
voir le pdf

Sujet :
voir le pdf

Profil du candidat :
Solid mathematical background (Bs/Ms), applied mathematics, statistics, signal processing…
CS background: algorithms, complexity theory. Good imperative and object-oriented programming
skills. Functional programming would be a plus.
Proficiency in at least one multi-purpose language, including (but not limited to): Scala (preferred),
Java, Python, C++, Go…
Knowledge of one or more of the following technologies: Apache Spark (preferred); SQL/NoSQL
databases; version control (git).
Scientific computing and ML libraries: Python (numpy, pandas, scikit-learn…), Scala (breeze, smile…).
In the current health context, the candidate is expected to be autonomous, organized and able to
adapt with remote work methodology.

Formation et compétences requises :
Solid mathematical background (Bs/Ms), applied mathematics, statistics, signal processing…CS background: algorithms, complexity theory

Adresse d’emploi :
LIPN – UMR 7030 – CNRS, Université Sorbonne Paris Nord.

Document attaché : 202101192107_Internship-lipn.pdf