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3 Apr 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Environmental science Ethics in physical sciences Sociology Ethics in social sciences Researcher Profile Recognised
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Quantum Nanomechanics group at the Department of Applied
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open positions For more information about the role, please contact QDOC Director Prof. Adam Foster adam.foster@aalto.fi and Finnish Quantum Flagship Manager Dr. Mahdi Moghaddam mahdi.moghaddam@aalto.fi
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25 Mar 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Physics Chemistry Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 12
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, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future generations of research and development professionals, data specialists, technology
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Soft Matter and Wetting Group headed by Prof. Robin Ras
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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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transcripts Contact details of at least two referees The deadline for applications is 22nd of March 2026, but the position will remain open until filled. For additional information, kindly contact Prof. Andrei
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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