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MINES Paris - PSL

Just Landed

22-Month Postdoctoral Researcher in Resilient Logistics, Supply Chains, and Cyber-Physical Internet Networks Mines Paris – PSL in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Nov 30, 2026

Country flag

Country

France

University

MINES Paris - PSL

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Keywords

Computer Science
Data Science
Mathematics
Industrial Engineering
Monte Carlo Simulation
Optimisation
ML

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About this position

Mines Paris – PSL is recruiting a postdoctoral researcher for a 22-month appointment in Paris, France. The position is part of an ANR-RGC France–Hong Kong collaborative research project addressing resilient logistics and supply chains.

The research brings together machine learning and data science, optimisation and simulation, cyber-physical Internet networks, intelligent logistics and supply chains, knowledge graphs, and network science. The postdoctoral researcher will contribute to developing research approaches for understanding, modelling, and improving the resilience of logistics systems and supply-chain networks.

The project offers an interdisciplinary research environment combining operations research, industrial engineering, transportation and logistics, computational methods, and network analysis. The work is situated within the research community of Mines Paris – PSL and its international France–Hong Kong collaboration.

Funding details

Available

What's required

Applicants must hold a PhD in Operations Research, Industrial Engineering, Logistics, Transportation, Supply Chain Management, or a related field. The research areas indicate that experience or interest in machine learning, data science, optimisation, simulation, cyber-physical internet networks, intelligent logistics and supply chains, knowledge graphs, or network science is relevant.

How to apply

Send a single PDF containing a cover letter, CV, and three relevant publications to [email protected]. The position is in Paris and starts no later than January 2027.

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