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more than five years ago at the time of accepting the position (a net period of time, which does not include parental leave, military service etc.) good skills in spoken and written English prior experience
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topics. The department has a strong community on related topics: research groups working on digital health and wellbeing , network science , computational social science , and various topics in machine
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Statistics, Mathematics or Computer Science (or a related field) with an emphasis on applied mathematics/statistics/machine-learning. Prior experience in the probabilistic machine-learning, neural-networks
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, C++, plasma processes in the magnetotail including magnetic reconnection and kinetic instabilities. We offer a position in a dynamic and international research group, with a possibility to network and
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advantage Strong analytical skills and ability to work independently and in a team environment Excellent study record Good English & team working skills. Your network and team The Research Assistant will be
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program, perform measurements, and analyze the data. Your network and team The Research Assistant will be based in Department of Applied Physics, Aalto University at the SMW group. SMW is a
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the field of infrastructure. You will contribute to a more resilient and sustainable built environment, where land use, material flows, transport systems, energy networks, and digital solutions work
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, and intelligent decision-making across distributed manufacturing networks. Specifically, the work will include: Development of a digital twin for a manufacturing production system. Development
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, networks, software engineering, AI, data science) Experience of working in highly interdisciplinary environments Experience in designing and enacting (interdisciplinary) teaching (on any level, e.g. course
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ranging from green ammonia production to advanced batteries. Your network and team You will work in a highly interdisciplinary environment within the Advanced Energy Solutions area of Aalto University. You