ANR EVA Doctoral Fellowship (Cornet)

25 April 2025

We are offering a funded PhD position at the LIA (computer science lab of Avignon, France), within the CORNET team (Complex systems, Operations Research for NEtworks and Text), in co-supervision with the ERIC lab (Lyon, France).  Topic: Gender dynamics in collaboration networks Location: LIA, CS laboratory of Avignon University, France.Advisory Team: Rosa Figueiredo (LIA), Vincent Labatut (LIA) and Cécile Favre (ERIC).Duration: 3 years starting from September/November 2025.Funding: ANR project EVA – EValuating gender policies in academia through the Analysis of scientific collaboration networks. Standard PhD wage according to French regulations.Application deadline: 11th May 2025 The complete description of the position is available here: https://eva.univ-avignon.fr/wp-content/uploads/sites/34/2025/04/offre.pdf Thank you for sharing this offer with anyone who might be interested. Candidates can contact us following the instructions provided in the above document.  

LIA Doctoral Fellowship 2025

31 January 2025

The LIA’s 2025 doctoral grant has been awarded to the SLG team. Several topics have been proposed and are available on the adum.fr platform https://adum.fr/as/ed/proposition.pl?site=avignon : Interested candidates should apply on the adum.fr platform. Before doing so, however, it is strongly recommended that you contact the researchers proposing the topics in order to discuss with them. The auditions will be organised by Doctoral School 536 according to the procedures indicated on https://univ-avignon.fr/recherche/le-doctorat/je-souhaite-preparer-un-doctorat/. They will take place at the beginning of June, the final date will be communicated to the selected candidates by the supervisors.

Contrat doctoral Agorantic 2025

1 January 2025

Une allocation doctorale 2025 pour le LIA a été attribuée à l’équipe SLG par la FR Agorantic . Le sujet proposé est disponible sur la plateforme adum.fr https://adum.fr/as/ed/proposition.pl?site=avignon : Les candidats et candidates intéressées doivent postuler sur la plateforme adum.fr. Mais, avant cela, il est fortement recommander de contacter les chercheurs et chercheuses qui proposent les sujets, afin d’en discuter avec eux et elles. Les auditions seront organisées par la FR Agorantic selon les modalités générales indiquées sur https://agorantic.univ-avignon.fr/en/thesis/. Elles auront lieu début juin, la date définitive sera communiqué aux candidats retenus par les encadrants.

LIA Doctoral Fellowship 2024

27 February 2024

The 2024 doctoral fellowship from the LIA has been awarded to the Cornet team. Several topics have been proposed, and they are available on the Adum platform. In alphabetical order by title: Interested candidates should apply on the Adum platform. Most importantly, before doing so, contact the researchers who propose the topics to discuss them further.

Position for Assistant Professor in Computer Science at Avignon Institute of Technology

27 February 2024

As part of the national synchronized recruitment campaign for teaching and research faculty in 2024, Avignon University is offering a position for an Assistant Professor in Computer Science. Teaching will take place at the Avignon University Institute of Technology, mainly in the field of Data Science, and research will be conducted at the LIA (Avignon University CS Lab). The position description is available here (in French): https://univ-avignon.fr/wp-content/uploads/2024/02/4222-IUT-MCF-27.pdf

Master Internship: Cyberdeception strategies using stochastic optimization and dynamic graphs

10 December 2023

General information: Context: Cyber deception is a defense strategy, complementary to conventional approaches, used to enhance the security posture of a system. The basic idea of this technique is to deliberately conceal and/or falsify a part of such system by deploying and managing decoys (e.g., “honeypots”, “honeynets”, etc.), i.e., applications, data, network elements and protocols that appear to malicious actors as a legitimate part of the system, and to which their attacks are misdirected. The advantage of an effective cyber deception strategy is twofold: on one hand, it depletes attackers’ resources while allowing system security tools to take necessary countermeasures; on the other hand, it provides valuable insights on attackers’ tactics and techniques, which can be used to improve system’s resilience to future attacks and upgrade security policies accordingly. Although cyber-deception has been successfully applied in some scenarios, existing deception approaches lack the flexibility to be seamlessly operated in highly distributed and resource-constrained environments. Indeed, if virtualization and cloud-native design approaches paved the way for ubiquitous deployment of applications, they widened the attack surface that malicious actors might exploit. In such a scenario, it is practically unfeasible to try to deploy decoys for each and every system’s service or application Plus d'infos

Master Internship: Impact of regional aggregation on energy scheduling flexibility performances

10 December 2023

Context: Large scale problems exist for the electricity system both for short-term (e.g., the Unit Commitment problem) and long-term (system planning, e.g. ”Generation Expansion Planning”). In these problems concerning the modern and future electricity system, the question of the integration of energy consumption flexibility is crucial. This flexibility, consisting in “optimally” scheduling the power profile of particular electrical appliances (the most common and suitable ones for that purpose being Electric Vehicles (EV) and Water-Heaters (WH) for residential consumers), allows obtaining a supply-demand equilibrium with diminished total system cost, in comparison to the case where only production assets are controllable. Considering flexibilities related to “small” individual con- sumers (again, EV or WH), their very large number makes it inappropriate to model them individually in the typical electricity system optimization problems, for tractability reasons: it thus seems relevant to consider an aggregate model of consumption flexibilities. In turn, the question of the “right level” of aggregation modelling is of particular importance. Aggregation/disaggregation techniques are widely studied in the context of smart grids. Objective: More precisely, the objective of this internship is to study, on a simple example, the impact of aggregation techniques and aggregation levels, and to solve an optimal energy scheduling Plus d'infos