Job offers

• Internship offers

  • Offers for 2024. To apply, contact directly the persons.
    • Algorithmic complexity of computing the optimal policy in MDPs (M2, Bruno Gaujal)
    • Method-agnostic reoptimization in convex optimization (M2, Mathieu Besançon, Nicolas Gast)
    • Learning Whittle Index Policies and Application in Stochastic Scheduling(M2, Nicolas Gast)
    • Online Algorithms with Budget and Equity Contraints (M2, Nguyen Kim Thang, Nicolas Gast)
    • Disaggregation methods and mean field control for electricity production planning (M2, Nicolas Gast, Bruno Gaujal, in collaboration with EDF).
    • Optimal Design of Autoscaling Policies for Serverless Applications (Jonatha Anselmi)
    • First order methods for Constrained Optimization (Mathieu Besançon)
    • Mixed-integer Convex Optimization (Mathieu Besançon)
    • Mixed-integer (non-linear) optimization (Mathieu Besançon)
    • Learning in input/output systems (Bruno Gaujal)

Old offers

• • Offers for 2022.
    • Phases detection in high performance parallel applications (Master, Guillaume Huard, Swann Perarnau) + slides
  • Offers for 2021.
    • Fair Online Classification with Partial Feedback (M2, Nicolas Gast, Patrick Loiseau)
    • Online Algorithms for Fair Ad Auctions (M2, Nicolas Gast, Patrick Loiseau)
    • A mathematical analysis of positive discrimination mechanisms in multi-dimensions (M2, Patrick Loiseau, Bary Pradelsky)
    • Evaluating the impact of cache control technologies on HPC workloads (Master, Guillaume Huard, Swann Perarnau)
    • Online HPC workload data analysis for light and reactive control (Master, Guillaume Huard, Swann Perarnau)
  • Offers for 2020. Possible subjects are : (note : the list of subjects may evolve)
    • Optimization of dynamic networks using Markovian bandits (PhD thesis). Contact: Bruno Gaujal and Jonatha Anselmi
    • Heterogeneous Mean Field Control with Application to Online Learning (M2). Contact: Nicolas Gast
    • Reinforcement Learning of Popularity in Social Networks (M1,M2), please contact Bruno Gaujal
    • Online Algorithms for Fair Ad Auctions (M2). Nicolas Gast and Patrick Loiseau.
    • Evaluating the impact of cache control technologies on HPC workloads (Master). Guillaume Huard, Swann Perarnau.
    • Online HPC workload data analysis for light and reactive control (Master). Guillaume Huard, Swann Perarnau.
    • Online Learning for fine-grain CPU frequency control with limited feedback (Master). Guillaume Huard, Valentin Reis, Swann Perarnau.
  • Offers for Summer 2019.
    • Mean Field Optimal Control for Multi-Armed Bandit Problems
    • Parallel simulation (research M2)
    • Average complexity of policy iteration
    • Improvements on Q-learning
    • Numerical tools for large stochastic systems (research)
    • Modeling and Performance Prediction of Linear Algebra Functions (3-6 months)
  • Old Offers for summer 2018:
    • Paradigmes de simulation parallèle (stage de recherche)
    • Simulation parallèle optimiste (ingénieur/recherche)
    • Online optimization for smart-grid systems (research)
    • Development of adversarial classifiers using Bayesian games (research)
    • Fairness in multi – stage decision making (research)