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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
optimizing complex systems across a wide range of domains, from industrial manufacturing and energy to environmental monitoring and healthcare. The Engineering Digital Twin EDT program , funded by the France
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. Candidate Profile Applicants should hold a Master's degree in Materials Science and/or Computational Methods in Mechanical Engineering (or a closely related field). The successful candidate should have: a
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models that bridge the gap between laboratory settings and natural environments. It fits with Sustainable Transitions axe of the TIRIS program (https://anr.fr/ProjetIA-22-EXES-0015 ), addressing challenges
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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
Deadline 14 Aug 2027 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will join the
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This project will be pursued within
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-diadem.fr/ ) programme and addresses major challenges in advanced materials and precision medicine. The degree-awarding institution is the University of Paris Est-Créteil. Where to apply Website https
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3 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire de génie des procédés - environnement - agroalimentaire Research Field Engineering Chemistry Physics Researcher Profile
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10 Jul 2026 Job Information Organisation/Company CNRS Department Groupe de recherche en Informatique, Image, Automatique et Instrumentation de Caen Research Field Engineering Computer
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Master's degree in Materials Science and/or Computational Methods in Mechanical Engineering (or a closely related field). The successful candidate should demonstrate a strong background in numerical methods