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PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials
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design and structures. Profile We are looking for excellent applicants with a Doctoral degree in Mechanical Engineering, Computer Science, Applied Mathematics, or a related area of study, who are motivated
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argon liquid phase using electronic structure calculations. Developing computer code for computing ionization rates with general dark matter-electron interactions. Exploring appropriate descriptions
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statistical skills, ideally using R Well structured and organized working style, good communication skills Knowledge of two official Swiss languages and English We offer Working for Switzerland We are committed
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programming languages, algorithms, and theory. INSAIT is structured similarly to top U.S. and European research institutions and provides exceptional working conditions, in terms of facilities, computational
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to understand geneflow, population structure and genetic diversity within and between wild bees over time - Interpret results and contribute to the development of conservation strategies based on genomic
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products, machine design and structures. Profile We are looking for excellent applicants with a Doctoral degree in Mechanical Engineering, Computer Science, Applied Mathematics, or a related area of study
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robots for distributed sensing in air and water and autonomous robotic construction for digital infrastructure systems. The lab is based on a jointly funded Professorship by Empa and the Swiss Federal
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or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials science is desirable. An interest in active
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synthetic routes to organic molecules, transition metal complexes and functionalized carbon nanomaterials. Gain insight into the electronic structures, magnetic/thermochemical properties of newly synthesized