Informations générales
Intitulé de l'offre : Post-Doc (M/F, 12 months) Development of OR algorithm for complex workshop simulation (H/F)
Référence : UMR6158-BEABOU-019
Nombre de Postes : 1
Lieu de travail : AUBIERE
Date de publication : vendredi 4 juillet 2025
Type de contrat : Chercheur en contrat CDD
Durée du contrat : 12 mois
Date d'embauche prévue : 1 septembre 2025
Quotité de travail : Complet
Rémunération : from 2991.58 euros gross / month depending on experiencen expérience
Niveau d'études souhaité : Doctorat
Expérience souhaitée : Indifférent
Section(s) CN : 01 - Interactions, particules, noyaux du laboratoire au cosmos
Missions
This postdoc follows on from two previous postdocs at LIMOS, dedicated to the simulation of a so-called ultra-flexible plant. This postdoc will focus on the further development of the simulator, integrating new constraints and optimization methods.
Activités
-The candidate will continue to monitor scientific issues and existing industrial experience, lead a collective discussion with Michelin teams to anticipate future technical systems for the ultra-flexible factory, complete the existing simulator by integrating these new issues, analyze the data from simulations to bring out usable elements, and promote the results through scientific publications.
Compétences
Code development in C++, working independently, fluency in oral and written communications
Contexte de travail
at least 2 days per week at Michelin
The candidate, under the supervision of the DORD team, will collaborate with a PhD student, another postdoc in data mining and a DOMF team.
By joining CNRS, we offer you :
- A stimulating working environment in close contact with research staff
- 44 days vacation / RTT per year
- Excellent working conditions (flexible working hours, telecommuting)
- A company restaurant where you can have lunch at an attractive price
- Partial reimbursement of travel expenses (75%) + sustainable mobility package of up to €300/year
- A site accessible by public transport + private parking lot
- Financial contribution to health insurance costs".
Contraintes et risques
Certaines données confidentielles seront amené à être traitées