Overview
CNRS is recruiting a postdoctoral researcher in Paris to use machine-learning molecular dynamics to study ion transport and hydration in sub-nanometre hexagonal-boron-nitride channels.
Complete research opportunity details
The project combines machine-learning-assisted molecular dynamics, nanoscale transport and hydration physics to model confined ions in hBN channels at the Laboratoire de Physique de l'ENS.
Eligibility requirements
Applicants must hold a doctorate and have research expertise relevant to molecular dynamics, atomistic simulation, statistical physics, computational materials or machine-learning-assisted simulation.
Tips for this postdoctoral opportunity
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Match your research background to the project, laboratory, supervisor and required methods rather than applying only from the title.
- Prepare a focused academic CV, transcripts, publications and research statement or proposal when requested by the official call.
- Confirm funding duration, stipend/salary, tuition coverage, start date and eligibility for international applicants.
- Contact a supervisor before applying only when the official instructions recommend or require it.
Verification notes
Official CNRS vacancy UMR8023-MARBOC-002 verified current. The 29 September 2026 23:59 France-local cutoff is represented as 21:59 UTC while metropolitan France is on CEST.
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