Post-doctoral position « Modeling sequential decision problem for supply chain managment ».

Mines Paris - PSL; France; Hybride; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A prestigious engineering university in France seeks a Postdoc in the Robotics Center focusing on AI and Machine Learning for supply chain optimization. The position involves researching sequential decision problems and collaborating with industry. Candidates must have a PhD and proficiency in programming languages like Python. The role offers a competitive salary and remote work options.

Prestations

Remote work up to 2 days a week

49 days annual leave

Public transport costs reimbursed up to 50%

Sustainable mobility package

Responsabilités

• Study the state-of-the-art bibliography.
• Identify relevant supply chain use cases involving sequential decisions.
• Evaluate the performance of different modelling approaches and policies.
• Collaborate with companies on real use cases.
• Write internal report and scientific papers.
• Disseminate the results in scientific events.

Connaissances

PhD in Computer Science, Operations Management, Supply Chain Management or similar relevant fields

Strong knowledge of one programming language, e.g. Python, C/C++, C

Interest for stochastic optimization, reinforcement learning

Motivation to work closely on applied problems

Good level in English language (written and spoken)

Formation

PhD or equivalent

Description du poste

Organisation/Company Mines Paris - PSL Department Mathematics and Systems Research Field Computer science » Programming Engineering » Industrial engineering Management sciences » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 15 Jan 2026 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Context

Mines Paris, a component of PSL University, trains engineers capable of tackling the challenges of tomorrow. As part of its strategic plan, Mines Paris aims to be a leading player in the fields of innovation and entrepreneurship, energy transition and materials for more efficient technologies, as well as mathematics and digital engineering for the transformation of industry, including healthcare. Since its founding in 1783, it has remained true to its core values of solidarity and openness to society.

The Robotics Center’s focus on AI and Machine Learning (ML) involves algorithmic and experimental research on adapting cutting‑edge AI/ML models and methods to the needs of key application sectors: autonomous vehicles and intelligent transportation, the industry of the future, and collaborative or mobile robotics.

Within the Robotics Center, the position will be attached to the Industrial Engineering team, whose research interests revolve around the digitalization of environments related to operations and supply chain management. The team contributes to research and teaching, notably through the Urban Logistics Chair and the Specialized Master’s program in Industrial Management and Logistics Systems.

Research project

In supply chains, the flow of goods is constantly challenged by the constraints of speed and variability. These factors significantly contribute to uncertainty in decision‑making.
This project aims to enhance service quality and reduce distribution costs by enabling informed decisions based on probable outcomes.

The project focuses on sequential decision problems. It will explore modeling and optimization techniques—such as reinforcement learning and stochastic optimization—to effectively manage and reduce uncertainty in a supply chain context.

The main activities of the position will be:

• Study the state‑of‑the‑art bibliography
• Identify relevant supply chain use cases involving sequential decisions
• Evaluate the performance of different modelling approaches and policies
• Collaborate with companies on real use cases
• Write internal report and scientific papers
• Disseminate the results in scientific events

Hiring conditions

• 12‑month full‑time post‑doctoral contract
• The successful candidate will be offered a salary commensurate to CV and Mines Paris PSL University salary scale
• The position is open to all, with accommodations available for candidates with disabilities
• Start date: After January 2026, for a 12 months duration
• Assignments will be carried out in the Robotics Lab in Mines Paris PSL University, 60 Boulevard Saint Michel, Paris, France

References

Warren B. Powell, Sequential Decision Analytics and Modeling: Modeling with Python , now, 2022. keywords: {Supply Chain Management;Competitive Operations;Strategic Management: Competitive strategy},

Where to apply

E-mail [e-mail]

Requirements

Research Field Computer science » Modelling tools Education Level PhD or equivalent

Research Field Engineering » Industrial engineering Education Level PhD or equivalent

Skills/Qualifications

• PhD in Computer Science, Operations Management, Supply Chain Management or similar relevant fields
• Strong knowledge of one programming language, e.g. Python, C/C++, C
• Interest for stochastic optimization, reinforcement learning
• Motivation to work closely on applied problems
• Good level in English language (written and spoken)

Languages ENGLISH Level Excellent

Additional Information

• Remote work up to 2 days a week
• 49 days annual leave
• Public transport costs reimbursed up to 50%
• Sustainable mobility package (for carpooling or cycling)
• School and departmental staff associations
• Stimulating innovation ecosystem (startups, students, research, companies)