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and advise other researchers up to the PhD student level Write and publish high-quality scientific papers and present your work at high-impact conferences Perform and support teaching activities
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. The Department of Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Surface Structures The Data-driven Atomistic Simulation (DAS) group, led by
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Structures (FiRST). The starting date is March 1, 2026, or as mutually agreed. The positions are for a period of two years, with a possible one-year extension. Your experience We expect you to have a PhD
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agreed. The positions are for a period of two years, with a possible one-year extension. Your experience We expect you to have a PhD degree in Mathematics or a related field, and a strong research
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. To succeed in this role, you should have: A recently obtained PhD (max 5 years) in Electrochemistry, Chemistry, Materials Science, or a closely related field. A strong background in electrochemistry
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For Doctoral Researcherposition: MSc in Applied Mathematics, Engineering Physics, Electrical Engineering, or related field. For Postdoctoral Researcherposition: PhD in Applied Mathematics, Engineering Physics
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publish them in high-impact journals. In addition to research, you will also be expected to take part in the supervision of PhD students and the teaching activities of the research group. Your network and
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guidance of early-career researchers and students within the group. To succeed in this role, you should have: A recently obtained PhD (max 5 years) in Electrochemistry, Chemistry, Materials Science, or a
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testing and analyzing experimental results Participating in commercialization of developed materials Qualifications: PhD in one of the following broader experimental areas: physics, chemistry, materials
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coatings. We expect the ideal candidate to be passionate about exploring new frontiers in interfacial science and eager to push beyond the current state of the art, aiming at obtaining a PhD degree. Our