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Field
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related fields. Experience in Machine Learning/AI, mathematical, computational and statistical training are also advantageous. About the employment The employment is a temporary position of two years
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an integral part of KTH’s core values as a university and public authority. Learn more about our benefits and what it's like to work and grow at KTH. Trade union representatives Contact information to trade
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the Division of Data Science and Artificial Intelligence and the employment is with Chalmers University of Technology. The division’s research spans from foundational machine learning theory to applications
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circumstances such as parental leave, sick leave, or military service. What you will do Supervise master’s and/or PhD students to a certain extent. Play an active role in driving the CryptoTeam’s research agenda
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relationships and assess tree species sensitivity to climate stressors using both global databases and experimental data from Rwanda TREE project (https://www.rwandatree.com ). The researcher will have close
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. Links: https://www.slu.se/en/research/research-infrastructures/research-infrastructures-at-slu-open-to-external-users/slu-robacksdalen-field-research-station/ https://meta.fieldsites.se/resources/stations
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measurement and control platform for optimal island operation of Chalmers’ wind-battery system. Machine learning-based forecasting tools for renewable production using limited local measurement data
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academic research, learning and outreach. We provide a competitive advantage by linking our top-level international and interdisciplinary academic performance in the areas of material science, nanotechnology
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, environmental science and physical geography. The department has about 160 employees, about 30 of whom are postdoctoral researchers. For more information, visit: https://www.umu.se/en/department-of-ecology-and
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theory, gauge theories, the Loewner energy, or other topics consistent with the research interests of the supervisor. More information about the group: https://sites.google.com/view/kth-rmrg/home