YUE SU

Inria Lille / Centrale Lille is recruiting a fully funded PhD candidate for a 3-year project on Clustering Approaches for Logistics Route Planning via Adaptive Districting in a Stochastic Environment . The thesis is part of a collaboration with La Poste and focuses on stochastic optimization , vehicle routing , last-mile logistics , clustering , and adaptive districting . The research aims to model delivery route construction as a clustering problem under uncertainty, develop efficient solution methods, and validate the approaches on real-world data from an industrial partner. Key research directions include: modeling demand variability and operational constraints; designing robust district assemblies and route structures; and developing scalable algorithms, especially matheuristics , for large-scale combinatorial optimization problems. Applicants should have a Master’s degree or equivalent in Computer Science , Applied Mathematics , Operations Research , or a related field. Strong programming skills and a solid background in combinatorial optimization and integer programming are expected. The posting also highlights coding experience in C++ , Java , or Julia . Funding includes a gross salary of €2,300 per month . Additional benefits mentioned in the Inria posting include subsidized meals, partial public transport reimbursement, annual leave, RTT days, teleworking options, and social security coverage. Application deadline: 2026-05-31. Start date: 2026-09-01. Applications must be submitted online via the Inria portal with a CV and cover letter. Supervision is listed as Yue Su , Frédéric Semet , and Luce Brotcorne .