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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
validation in a waste-sorting application, supported by PEPR Robotique Acceleration program. The PhD candidate will benefit from a rich scientific environment offered through the collaboration between INRIA
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through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will join the STM group
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31 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Engineering Physics Technology Researcher Profile First Stage
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. • Degree allowing enrolment for a PhD (such as MSc, Master 2 de Recherche, Laurea or equivalent) in chemistry, materials science, physics or a closely related science. However minimum degree level may vary
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framework and model to anticipate the environmental criticality of raw materials, with specific focus on their extraction. This PhD will provide a thorough assessment of the environmental pressures induced by
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, stimuli-responsive materials, nanostructuring, and materials for energy. Six research teams combine their expertise in theoretical and computational chemistry, organic and inorganic synthesis, coordination
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. The successful candidate will be assigned to the Plasma-Surface team. He/she must therefore submit an application to the “Physics and Materials Science” doctoral school (ED352) in order to enrol on a PhD programme
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17 Jul 2026 Job Information Organisation/Company CNRS Department Institut Fresnel Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline 6 Aug 2026 - 23:59 (UTC
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this PhD project is part of the REFFRACTEUR European Doctoral Network, the 36-month doctoral programme will be organised as follows: Months 1–9 (9 months): the doctoral candidate will work at SAFRAN's
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, nanomedicine, advanced characterization techniques, synchrotron science, automation, and artificial intelligence for materials discovery. The project will establish quantitative process-structure-property