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candidate will join the Scientific Machine Learning group at TDB and SciLifeLab. The group develops theory, methods and software for data-driven science, with a current focus on uncertainty quantification
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school, and taking part in the supervision of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, scientific computing, statistics, physics or a
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be met no later than the time the employment decision is made. Applicants should hold a PhD in Electrical Engineering, Computer Science, or a closely related field. Good collaboration skills who can
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stands are most exposed, but current monitoring relies largely on field inspections and coarse regional assessments that are often too slow or too limited for operational decision-making. The Department
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Engineering, Mechatronics Engineering, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering or other related subjects. Experience working on experimental ultrasound sensing and
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Engineering, Computer Engineering, Mechatronics Engineering, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering or other related subjects. Experience working on experimental
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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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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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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