13 phd-computer-artificial-machine-human Postdoctoral research jobs at AALTO UNIVERSITY
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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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. The position gives excellent opportunities in publishing in high-quality forums. We expect the applicants to have a PhD degree (or close to completing one) in computer science, mathematics or statistics, with
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10 Computer Science departments in Europe and top 100 globally. The department has a strong focus in AI and machine learning with around 20 professors active in the area, as well as a significant
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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
between nonlinear control theory and machine learning to provide formal guarantees on performance, safety, and robustness of complex systems. We are a part of the Finnish Center for Artificial Intelligence
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Department of Chemistry and Materials Science is looking for: A Postdoctoral Researcher in computational modelling of self-organization in soft materials to join the Research Council of Finland Center of
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, assessments, planning and/or management. Also clearly note your envisioned contribution on developing Digital Twins of watersheds, from the perspective of the position you are applying to. The use of artificial
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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
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eagerness to work on tough experimental challenges at low temperatures. We expect the candidates to have: PhD degree in physics or in a nearby field Experience on silicon materials, 2D electron gases and