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Université de Toulouse

Fully Funded PhD in Human-Centric Digital Twins for Task Scheduling and Resource Management Université de Toulouse in France

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD opportunity under the MSCA COFUND BEST Doctoral Programme.

Deadline

Nov 23, 2026

Country flag

Country

France

University

Université de Toulouse

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Keywords

Computer Science
Mathematics
Operations Research
Artificial Intelligence
Industrial Engineering
Resource Management
Digital Twin Technology
Stochastic Programming
Optimisation
Task Allocation
Statistics
Applied Mathematic

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About this position

Fully funded PhD opportunity in the MSCA COFUND BEST Doctoral Programme, jointly supervised by Prof. Elyes Lamine at Université de Toulouse / IRIT in France and Prof. Monia Rekik at Université Laval / CIRRELT in Canada.

The PhD topic is Human-Centric Digital Twins for Task Scheduling and Resource Management: A Generalized Architecture for the Coordination of Isolated Workers. The project sits at the intersection of Operations Research, Artificial Intelligence, Discrete Event Simulation, and Digital Twins, with a focus on dynamic task scheduling and optimization under uncertainty.

Applicants should have a Master’s degree or equivalent and a strong background in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field. Experience or strong interest in mathematical optimization, scheduling, stochastic optimization, Discrete Event Simulation, and/or Artificial Intelligence is especially valuable.

Mobility rules apply: candidates must not have lived, studied, or worked in France for more than 12 months during the 36 months preceding the deadline. There is no nationality restriction mentioned.

Application deadline: November 23, 2026. Apply via the application platform and consult the full project description for details.

Funding details

Fully funded PhD opportunity under the MSCA COFUND BEST Doctoral Programme.

What's required

Master’s degree or equivalent in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field. Strong background in mathematical optimization, scheduling, stochastic optimization, discrete event simulation, and/or artificial intelligence is preferred. Candidates must satisfy the MSCA mobility rule: they must not have lived, studied, or worked in France for more than 12 months during the 36 months before the application deadline. No nationality restriction is stated.

How to apply

Apply through the application platform provided in the post. Review the full PhD project description before submitting your application. Share the opportunity if relevant to potential candidates.

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