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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 predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building cutting edge machine learning techniques
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Aatos Erkko Säätiö, and The FINNCERES flagship (https://www.finnceres.fi/ ), funded by the Research Council of Finland’s Center of Excellence Programme (2022-2029). What we offer The expected starting
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Deadline 31 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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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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and polymeric materials, novel catalytic process, process control, and process systems engineering. Your experience and ambitions We are looking for highly motivated candidates with: Excellent PhD
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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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28 Oct 2025 Job Information Organisation/Company AALTO UNIVERSITY Research Field Computer science Mathematics Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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in topological materials and eagerness to work on tough experimental challenges. We expect the candidates to have: PhD degree in physics or in a nearby field Experience on 2D materials and quantum
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superconducting materials and 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