Up to 30% off — ends 2 Aug
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Up to 30% off — ends 2 Aug
ONLY00h00m00s
Centre National pour la Recherche Scientifique et Technique
1 month ago
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 availableCountry
France
University
Centre National pour la Recherche Scientifique et Technique

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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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