Ph.D. student in computer science (M/F)

Job Description

Thesis Subject

Optimization for Sustainable Remanufacturing Supply Chains

Your Work Environment

Project Overview
Remanufacturing plays a crucial role in the circular economy by extending product lifecycles, reducing waste, and improving resource efficiency. This PhD position is part of a broader research initiative aimed at optimizing remanufacturing-oriented reverse supply chains, integrating production scheduling and inventory-routing decisions in complex, uncertain environments involving multiple stakeholders (3PLs, retailers, remanufacturers, etc.).
The PhD will focus on the Remanufacturing and Inventory Routing Problem with Pickup and Delivery (RIRP-PD), incorporating Corporate Sustainability Rules (CSR) with a special emphasis on human factors (stress and fatigue at the plant level) and environmental indicators (CO2 emissions from transportation).
A key challenge is to balance economic performance, workload, time, and environmental impact while solving interconnected subproblems, inventory routing, pickup and delivery, and job shop scheduling.
The project includes:
- Modeling a multi-stage problem involving pickup, job shop scheduling with resource constraints, and delivery with time windows.
- Developing mathematical models and metaheuristics for sequential and integrated problem solving.
- Studying multi-period variants, inventory strategies, labor workload constraints, and CO2 emissions.
- Each major research step is expected to lead to publications in international conferences and journals.

Candidate Profile
We are looking for a highly motivated PhD candidate with strong analytical and programming skills.
Required:
- Master's degree in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or related fields;
- Strong programming skills (C++, Python, or Java);
- Knowledge of: Mathematical modeling, especially Mixed Integer Programming (MIP); Solvers such as CPLEX or Gurobi; Heuristics and metaheuristics;
Appreciated (not mandatory):
- Experience with exact methods (Branch-and-Bound, Branch-and-Price, decomposition approaches);
- Interest in sustainability, circular economy, or human-centered systems;
- Familiarity with machine learning for optimization.

Application Documents
- Detailed CV
- Motivation letter
- Academic transcripts (Master's degree or equivalent)
- Optional: recommendation letters

Compensation and benefits

Compensation

2300 € gross monthly

Annual leave and RTT

44 jours

Remote Working practice and compensation

Pratique et indemnisation du TT

Transport

Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€

About the offer

About the CNRS

The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.

CNRS

The research professions