Postdoctoral researcher in ML for dynamical systems representation, prediction, and state-estimation

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches 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 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 systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development of uncertainty quantification techniques for the learnt models.

You will also have opportunities to contribute to open-source computational tools and datasets, teach master-level courses, and advise doctoral students. You will closely collaborate with Prof. Mari Lundström’s group as well as industry partners and leading research institutions within the Nordics and the EU. Additionally, you will have the opportunity to participate in multidisciplinary initiatives within the Aalto House of AI.

Your experience

You have a recent doctoral degree in electrical engineering, control engineering, computer science, applied mathematics or a related field. Programming proficiency in Python is required, and hands-on experience with ML libraries such as PyTorch is expected. Theoretical understanding and experience with multi-physics modelling of electrochemical processes can be a plus. We value candidates who are collaborative team players, intellectually curious, and open to exploring new research directions. A track record of publications in recognised journals and conferences in the field is expected.

We offer

The expected starting salary for a postdoctoral researcher is approximately 4100 €/month and salary will increase with responsibilities and performance over time. The fixed term contract is initially for two years. As an employer, Aalto University provides excellent learning and development opportunities as well as occupational healthcare services. Finland has a comprehensive social security system. The primary workplace will be the Otaniemi Campus at Aalto University. Position is available immediately or as agreed.

Scientific Environment

The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control) in the School of Electrical Engineering at Aalto University explores synergies 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 (https://fcai.fi/).

Join us!

To apply, please share your application with us through our recruitment site ("Apply now!”) latest by 23:59 pm (EET) 19 February 2026. Applications submitted by email will not be accepted. We encourage you to apply early, as applications will be reviewed soon as they are received, and we may invite suitable candidates to interview already during the application period. The position is filled as soon as suitable candidates are identified.

All applications must include the following documents in English in a single PDF file: 

• Letter of motivation (max one page).

• CV including list of publications.

• Copy of your Master’s and PhD degree certificates (or an estimated graduation date if the PhD degree is not completed) and a transcript of studies (both Master’s and PhD level).

• Contact details of two referees (and letters of recommendation, if already available).

Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). If you are a student or visitor at Aalto University, please apply with your personal email address (not aalto.fi) via Aalto University open positions.

More information

If you wish to hear more about the position, please contact Professor Shankar Deka (shankar.deka@aalto.fi). Regarding the application process and practical arrangements, please contact HR Advisor Johanna Haapalainen (hr-elec@aalto.fi).

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