23 electric-machine "https:" "https:" "https:" "https:" "https:" research jobs in Sweden
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engineering Engineering » Electrical engineering Engineering » Materials engineering Engineering » Other Technology » Energy technology Researcher Profile Recognised Researcher (R2) Application Deadline 16 Aug
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Engineering » Electrical engineering Technology » Telecommunications technology Researcher Profile Recognised Researcher (R2) Application Deadline 31 Aug 2026 - 21:59 (UTC) Country Sweden Type of Contract
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domains such as telecom, defence and cloud. You will join the Machine-Intelligence for Networks and Distributed Systems (MINDS) research group at the Department of Computing and Learning Systems, School
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leave of absence due to illness, parental leave, positions of trust within trade unions, service in the armed forces, or other similar circumstances, as well as clinical service or service/assignments relevant
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circumstances, the degree may have been obtained earlier. Exceptional circumstances include leave of absence due to illness, parental leave, positions of trust within trade unions, service in the armed forces
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within the Department of Electrical and Information Technology works broadly with research within Cryptography, Computer Security, Wireless and Fixed Networks. The security group has around 20 members
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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(https://github.com/LDMX-Software/ldmx-sw ), written in C++, maintained on github and configured via python. You will work with .root files and explore different event generators as well as machine
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required to meet the eligibility criteria. Of secondary importance are: Experience with Python and relevant libraries for machine learning, optimization and simulation. Documented expertise in simulation
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Theory, Department of Environmental and Energy Sciences. Become a part of the team and contributing to research on current and future mobility service usage and attitudes among car and non-car owners