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, Matlab, C++) for developing new simulation frameworks or image processing algorithms Experience in or willingness to learn independently operating additive manufacturing systems (DED and LPBF), including
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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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innovative deposition processes and high-throughput materials screening. The opportunity: Contribute to groundbreaking research on UV-resilient transparent conductive materials for photovoltaic technologies
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signal processing (GPU based) Proficiency in data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral