General information
Offer title : Post-doctotral researcher (M/F) on resource allocation algorithmes in clouds (H/F)
Reference : UPR8001-BALPRA-010
Number of position : 1
Workplace : TOULOUSE
Date of publication : 20 August 2025
Type of Contract : Researcher in FTC
Contract Period : 12 months
Expected date of employment : 1 November 2025
Proportion of work : Full Time
Remuneration : Between 2 991 € and 4166 € gross monthly depending experience
Desired level of education : Doctorate
Experience required : Indifferent
Section(s) CN : 06 - Information sciences: bases of information technology, calculations, algorithms, representations, uses
Missions
In large-scale systems such as clouds, resource allocation decisions are taken at a high frequency. Due to high complexity of the decisions as well as uncertainty of the system parameters, traditional solver based approaches are not well suited for such applications. To respond to these challenges, this project aims to investigate automated decision making based on machine learning. The candidate (H/F) will propose and validate centralized as well as decentralized machine learning algorithms for large-scale clouds with dynamique parameters.
Activities
-- Conception of machine learning algorithmes for resource allocation
-- Numerical experiments
-- Drafting research reports and articles
-- Giving seminars and presentations
Skills
-- PhD in computer science or applied mathematics or related subjects
-- Expertise in MDPs and RL
-- Good knowledge of resource allocation in clouds
-- Ability to draft scientific articles and reports.
Work Context
The work will be carried out within the SARA team of LAAS-CNRS in Toulouse.
The position is located in a sector under the protection of scientific and technical potential (PPST), and therefore requires, in accordance with the regulations, that your arrival is authorized by the competent authority of the MESR.