2020-02893 - Memetic Semantic Genetic Programming for Trustable AI
Le descriptif de l’offre ci-dessous est en Anglais

Type de contrat : CDD

Niveau de diplôme exigé : Thèse ou équivalent

Fonction : Chercheur contractuel

Niveau d'expérience souhaité : De 3 à 5 ans

A propos du centre ou de la direction fonctionnelle

Located at the heart of the main national research and higher education cluster, member of the Université Paris Saclay, a major actor in the French Investments for the Future Programme (Idex, LabEx, IRT, Equipex) and partner of the main establishments present on the plateau, the centre is particularly active in three major areas: data and knowledge; safety, security and reliability; modelling, simulation and optimisation (with priority given to energy).   

The 450 researchers and engineers from Inria and its partners who work in the research centre's 28 teams, the 60 research support staff members, the high-level equipment at their disposal (image walls, high-performance computing clusters, sensor networks), and the privileged relationships with prestigious industrial partners, all make Inria Saclay Île-de-France a key research centre in the local landscape and one that is oriented towards Europe and the world.

Contexte et atouts du poste

H2020 European Project TRUST-AI (Transparent, Reliable and Unbiased Smart Tool for Artificial Intelligence), call FETPROACT-EIC-05-2019.

Mission confiée

The main assignments of the recruited researcher will be to fulflll tasks devoted to Inria within the TRUST-AI project (see below).

It is expected that this leaves some time for the candidate to pursue her own research, in link with other members of the team if possible.

The recruited person will be in connection with all partners of the TRUST-AI project, but will have the opportunity to work with the other members of the TAU team based on common interests. 

The person recruited is responsible for the work package of the TRUST-AI project that is lead by Inria (evolutionary approaches to trustable AI), including coordination with other partners, writing of the deliverables.
S.he will also be responsible for the parts devoted to Inria in other work packages.


Principales activités

The main activities of the recruited person will be the usual activities of full time researcers involved in a collaborative research project:

  • Do a complete bibliographic study of trustworthy AI, including, but not exclusively, on evolutionary approaches
  • Extend the existing Memetic Semantic GP (MSGP, reference below): to regression problems, to constrained problems, etc
  • Collaborate with the U.Dleft team on their GP-GOMEA approach
  • Propose alternative approaches, linked or not to MSGP and COMEA
  • Design and run experiments, on synthetic data and on the partners' use cases
  • Write reports and deliverables for the TRUS-AI project
  • Participate to project meetings (by visio conference, or physical, virus permitting)


Memetic Semantic Genetic Programming Robyn Ffrancon, Marc SchoenauerGenetic and Evolutionary Computation COnference (GECCO 2015), Jul 2015, pp.1023-1030

Greedy Semantic Local Search for Small Solutions Robyn Ffrancon, Marc SchoenauerCompanion Proceedings (workshops) of the Genetic and Evolutionary Computation COnference, Jul 2015, pp.1293-1300


Strong programming skills in Python are required.

Being fluent in English is a must.

Work will take place in Saclay (20km south of Paris), within the INRIA/CNRS/Univ. Paris-Sacay TAU team, under the supervision of Marc Schoenauer, and of course in collaboration with the other partners of TRUST-AI.

Contact: Marc.Schoenauer@inria.fr



  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training
  • Social security coverage


Salary in regard to professional experiences