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Centre National pour la Recherche Scientifique et Technique

Postdoctoral Position in Resilient Distributed Optimization and Scalable Algorithms Centre National de la Recherche Scientifique in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

France

University

Centre National pour la Recherche Scientifique et Technique

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Keywords

Computer Science
Electrical Engineering
Mathematics
Artificial Intelligence
Graph Theory
Networked Systems
Robotics
Machine learning

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About this position

Postdoctoral position in Resilient Distributed Optimization using Scalable Algorithms in Grenoble, France, hosted by CNRS – GIPSA-lab / PERSYVAL-Lab.

The research themes include Control Theory, Distributed Optimization, Networked Systems, Federated Learning, Graph Theory, Lyapunov Methods, and AI & Machine Learning. The advisor named in the post is Mohamed Maghenem.

This is an 18-month postdoctoral opening. The post does not specify salary, funding package, deadline, or a formal application portal in the text provided.

Ideal candidates would typically have a strong background in control, optimization, applied mathematics, distributed systems, or machine learning, with research interests aligned to scalable algorithms and resilient distributed decision-making.

To proceed, review the LinkedIn post and any linked lab or advisor information, then contact the advisor or hosting group if additional application details are available elsewhere.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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