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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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We expect you to have a PhD (or equivalent) degree in mathematics, a strong research background in analysis with emphasis on areas supporting one or several of the research topics above, and motivation
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Macroscopic Quantum Optics (MQO) Group and Quantum
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
23 Jan 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Computer science Engineering Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for sequential data modelling, including Physics-informed Machine Learning and Koopman Operator-based representation framework, towards building interpretable predictive models for complex multi-physics dynamical
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allows the successful applicant to choose a flexible balance between advanced machine learning method development and exciting applications on molecular data, including biomedicine and drug discovery
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-change impacts on biodiversity and climate feedbacks, as well as the effects of upcoming large-scale restoration efforts. The postdoctoral researcher will be based in the PeatResC research team led by
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both microbes and materials and can build the tools to connect them. Required qualifications Recently completed PhD (within 2 years) in biotechnology, microbiology, bioproducts engineering, or closely
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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