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CNRS, via the Institut de Recherche sur les Phénomènes Hors Equilibre (IRPHE) in France, invites applications for a First Stage Researcher (R1). The successful candidate will conduct a parametric theoretical study of flows generated by active contraction of artificial vessels within a network, and develop novel theoretical tools.
Attention to Python-based analyses is valued. Theoretical modeling will involve solving Stokes flows with active wall deformation, aligning with PPST-related research
Organisation/Company CNRS Department Institut de Recherche sur les Phénomènes Hors Equilibre Research Field Engineering Chemistry Physics Researcher Profile First Stage Researcher (R1) Application Deadline 16 Nov 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 17 Nov 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No
The successful candidate will be responsible for conducting a parametric theoretical study of flows generated by the active contraction of artificial vessels within a network. The primary objective will be to identify the shapes and velocities of the contraction waves, as well as the resulting flow rates
The successful candidate will be responsible for developing new theoretical tools. The theoretical modeling will involve solving Stokes flows coupled with active wall deformation.
The IRPHE Laboratory specializes in fluid mechanics and benefits from regular recruitment of permanent researchers via the CNRS, Aix-Marseille University, and Centrale Marseille. This position falls within a field related to the Protection of Scientific and Technical Potential (PPST). Consequently, in accordance with regulations, your appointment must be authorized by the competent authority of the Ministry of Higher Education and Research (MESR)
The ideal candidate will demonstrate exemplary scientific rigor, strong theoretical skills, a keen interest in developing Python-based analyses, and a passion for advancing scientific knowledge.