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Postdoc in the Dynamics of High-Dimensional Disordered Systems (Physics/Chemistry) CNRS in France
Degree Level
Postdoc
Field of study
Computer Science
Funding
Temporary full-time postdoctoral contract at CNRS. The post includes dedicated funding for conferences and computing equipment; no stipend amount is stated. The job is not funded through an EU Research Framework Programme.
Deadline
Oct 9, 2026
Country
France
University
CNRS

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About this position
Postdoctoral position in the dynamics of high-dimensional disordered systems at CNRS, hosted by LPTMS (Laboratoire de Physique Théorique et Modèles Statistiques), CNRS / Université Paris-Saclay in Orsay, France.
The project focuses on out-of-equilibrium dynamics in high-dimensional disordered systems, including models relevant to machine learning and optimization. The research aims to characterize fixed points, metastable states, attractors, and the pathways connecting them, with emphasis on the geometry of high-dimensional random landscapes and constrained dynamical trajectories.
The postdoc will use analytical and numerical methods, help validate analytical predictions, write papers for publication, and present results at meetings, workshops, and conferences. The role also includes co-supervising a Master 2 intern on related topics.
Eligibility: a recent PhD in theoretical/statistical physics, applied mathematics, or a related quantitative field. Experience with replica methods, dynamical mean-field theory, and related disordered-systems tools is appreciated. Background in machine learning theory, loss landscapes, generalization, or high-dimensional optimization is a strong advantage. Basic French is listed as a requirement.
Funding: temporary full-time postdoctoral contract, with dedicated support for conferences and computing equipment. No salary amount is stated in the post.
Deadline: 9 October 2026, 23:59 UTC.
How to apply: submit your application through the CNRS recruitment portal. A Euraxess application page is also linked in the posting.
Funding details
Temporary full-time postdoctoral contract at CNRS. The post includes dedicated funding for conferences and computing equipment; no stipend amount is stated. The job is not funded through an EU Research Framework Programme.
What's required
Candidates should hold a recent PhD in theoretical/statistical physics, applied mathematics, or a related quantitative field. A background in high-dimensional systems is preferred, along with hands-on expertise in disordered-systems methods such as replica methods and dynamical mean-field theory. Experience with machine learning theory, loss landscapes, generalization, and high-dimensional optimization is a strong asset. Basic French is listed as a language requirement, and 1-4 years of research experience is indicated.
How to apply
Apply through the CNRS job portal using the provided application website. A Euraxess view/apply link is also listed for the vacancy. Check the posting before the deadline and submit the required application materials online.
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