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other 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
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stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven
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development. The successful candidate will contribute to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model
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, and running and interpreting one- to three-dimensional solar wind simulations to define new inner boundary conditions for global heliospheric models. Requirements: MSc (or equivalent) in space physics
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-on experience with (pressurized) chemical reactors Experience with modelling and simulation software (e.g. Aspen) Good organization and data management skills We expect the candidates to be able to start
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
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is to apply theories, models, and methods from psychology to improve Human-AI interaction. Your network and team The Aalto Engineering Psychology Group concentrates on research in human-AI interaction
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: Curriculum vitae (mandatory) Dissertation research plan (mandatory) A copy of the degree certificates and the transcript of study records (mandatory) Motivation letter (mandatory) List of publications (needed
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trends, digitalization and polarization. Societal challenges are addressed through five research themes: Socioeconomic and intergenerational inequalities Demographic changes and family dynamics Education