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, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has demonstrated research experience with
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functional modification of materials by beam (e.g. laser light, electrons) and plasma induced processing. LAMP provides full cycle technology development, starting from novel materials, deep
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materials, deep understanding of the background physics of beam-matter interactions, development of automated AI/ML systems for novel materials processing and quality insurance. The lab combines
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understanding materials structure in material, life- and medical sciences. The PostDoc research will be part of a multi-center research project on applying and combining multi-modal 2D and 3D imaging
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adsorbents/gas adsorption/separation. Project Focus The project builds on Empa’s expertise in the field of sorbents and carbon capture. The position is part of the National Center of Competence in Research
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate