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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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areas like 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
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) /COMSOL/ Abaqus etc., with a strong focus on multi-phase modeling of high-energy density heat sources, including laser-material and electron beam-material interactions Good programming skills (e.g. Python
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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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responsibility in a highly interactive international environment with other Postdocs and PhD students. Moreover, the candidate will also be involved in project management and grant acquisition. The position is
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. Key Responsibilities: Quantitative in situ and in vitro imaging studies related to cytokine signaling and cell-cell interactions. Design and optimization of multiplexed fluorescence imaging, in situ