Proposals for Master 2 internships in Artificial Intelligence

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

Master 2 subjects for student’s applications

Academic year 2022-2023

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
Investigating model miss specification in simulation based inference

Pedro Rodrigues

Statify
publié le 27 novembre 2022