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19 Sep 2026 Job Information Organisation/Company Empa Research Field Chemistry » Inorganic chemistry Chemistry » Other Engineering » Electrical engineering Engineering » Materials engineering
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improve high-throughput 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
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19 Sep 2026 Job Information Organisation/Company Empa Research Field Chemistry » Other Computer science » Informatics Computer science » Other Engineering » Electrical engineering Engineering
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approaches. Experience with tabular foundation models or foundation models for structured data is particularly relevant to this position. Key qualifications include: Strong research experience in deep learning
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, and the development of new model architectures or learning approaches. Experience with tabular foundation models or foundation models for structured data is particularly relevant to this position. Key
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and highly interdisciplinary research environment, bringing together expertise in theory, nanoparticle science, OLED technology, and organic chemistry. You will work closely with two ongoing PhD
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experimentalist holding a PhD in physics, chemistry or materials science, with a strong background in solid-state electrochemistry and/or semiconductor photoelectrochemistry. A genuine interest in the fundamental
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expertise in the field of sorbents and carbon capture. The position is part of the National Center of Competence in Research (NCCR) "Separations", a collaborative project lead by EPFL (Prof. Wendy Queen) and