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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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the acquisition, modelling and inversion of geophysical data and in field data acquisition. Proficiency in COMSOL and other geoscience programs. Knowledge of coupling multiphysics problems
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18 Nov 2025 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Engineering » Biomedical engineering Engineering » Mechanical engineering Researcher Profile First
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: Digital methods for inverse materials design are essential
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 1 month ago
18 Oct 2025 Job Information Organisation/Company Karlsruher Institut für Technologie (KIT) Research Field All Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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3 Nov 2025 Job Information Organisation/Company Academic Europe Research Field Engineering » Electrical engineering Computer science » Other Technology » Other Researcher Profile First Stage
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analytical and communication skills, with the ability to work independently and collaboratively Experience with microscopy data or inverse problems is a merit Where to apply Website https://jobrxiv.org/job
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13 Nov 2025 Job Information Organisation/Company GFZ Helmholtz-Zentrum für Geoforschung Research Field Geosciences Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline
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this method to be used in forward and inverse scattering problems applicable to wafer metrology. This will involve developing the solver to be used for complex scattering geometries, elaborate illumination
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institutes as well as a secondment in a private-sector partner of the network. The research topics focus on the development of new physics inspired AI methods for inverse problems, uncertainty estimation and