Proposals for Master 2 internships in Artificial Intelligence

from November 14, 2022 to February 1, 2023

List of internship subjects in Master 2 in Artificial Intelligence 2022-2023

Master 2 subjects for student’s applications

Academic year 2022-2023

Forecasting-aided dynamic state estimation: application to microgrid

Internship subject	Supervisor	Lab
Algorithms with Learnable Predictions for Combinatorial	Nguyễn Kim Thắng	LIG
Application des techniques de Machine Learning pour l’estimation des temps de fabrication dans l’industrie de la métallurgie	Abdourahim Sylla	G-SCOP
Centralisation du monitoring des clusters HPC	Marc Cohen	Atos-Lab
Mise en place d'un réseau de management dédié	Marc Cohen	Atos-Lab
Mise en place d'un système sécurisé d'accès et de gestion du Lab	Marc Cohen	Atos-Lab
Sauvegarde des données et des systèmes d'un parc informatique	Marc Cohen	Atos-Lab
Réalisation de la collective MPI_Scatter de façon hiérarchique dans Open MPI 4	Marc Cohen	Atos-Lab
Automatic Generation of Synthetic Texts using Generative Pretrained Language Models for Under-Resourced Tasks	Didier Schwab	LIG
Benchmarking Self-Supervised Learned Models for Human. Activity Recognition on smartphones	François Portet	LIG
Exploration of joint deconvolution algorithms for omic data	Magali Richard	TIMC
Extending recursive relational algebra with aggregation	Pierre Geneves	LIG
Detection and analysis of human reactions for the adaptation of cobot behaviour in an industrial environment	Damien Pellier	LIG
Hybrid models for the development of intelligent tools to support decarbonisation of discrete manufacturing processes	Abdourahim Sylla	G-SCOP
Knowledge Graph Representation Learning	Pierre Geneves	LIG
Minimising the impact of digital activities on greenhouse gases emission: using AI to diagnose computers’ behaviour and usage	Abdourahim Sylla	G-SCOP
Application of automated planning to industrial production management	Damien Pellier	LIG
Probing Syntactic Information in self-supervised models dedicated to speech recognition	Benjamin Lecouteu	LIG
Segmentation automatique d’IRM de la prostate	Sandrine Voros	TIMC
Supervision of autonomous robotic systems based on SAT and SMT solvers	Damien Pellier	LIG
Training and Evaluation of Pretrained Transformer Language. Models in General and Specialized Domains	Didier Schwab	LIG
Deconvolution approaches for count data in the context of comparative genomics	Nelle Varoquaux	TIMC
ACtive Multimodal mErging: from psychophysics to computational modeling to robotics	Jean-Charles Quinton	LIRIS
Forecasting-aided dynamic state estimation: application to microgrid	Benoit Delinchant	G2E-Lab
Data Scientist transition énergétique	Benoit Delinchant	G2E-Lab

Published on November 17, 2022