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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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are required to have: A completed PhD degree. Experience in machine-learning methods. Some skill in at least one of these topics: Large data sets analysis Statistics and uncertainty analysis (probabilistic
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setups, large-scale data acquisition and analysis, FPGA programming skills, and knowledge of Python and C++ are important assets. The project is highly interdisciplinary (microtechnology/electronics
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, ICLR, NeurIPS, CoRL, ICRA, AAAI, AAMAS or similar) A collaborative mindset, with the ability to work effectively within a multidisciplinary team (Optional) Experience with large-scale machine learning