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and oral communication skills in English Motivation for working in the laboratory, carrying out experiments, and data analysis Experience in one of the following fields is required from the chosen
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community. The research will be carried out at the Department of Information and Communications Engineering, DICE, at Aalto University, Finland. The project environment offers excellent infrastructure
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manufacturing (printing, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR
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such as breakwaters by using computational tools developed in our research group. These tools are based on discrete element method and they have bee validated against experimental data. You will start your
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, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR, Raman, XAS, SAXS, etc
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information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . What we offer A doctoral research position in a timely and socially meaningful
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. The Department of Architecture offers degree programs in architecture, landscape architecture, and interior architecture. For more information, please see http://architecture.aalto.fi/en/ . We are now looking for
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the Economist Intelligence Unit livability rankings. The World Happiness Report 2020 ranked Helsinki as the city with the highest well-being in the world. For more information about living in Finland: https
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necessary. You do not need to be yet an expert in distributed graph algorithms and quantum information theory, as long as you are familiar with the relevant areas of mathematics and are willing and able
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or similar. Running social simulations with AI agents using platforms like Concordia or similar. Coding in Python or a similar language for simulation, visualization, and advanced statistical analysis (causal