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part. Your work may also include teaching or other departmental duties, up to a maximum of 20 per cent of full-time. Your qualifications You have graduated at Master’s level in applied mathematics
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level in machine learning, computer science, mathematics, statistics, physics, or a related area that is considered relevant for the research topic of the project, or completed courses with a minimum of
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advanced courses in Computer Science, Electrical Engineering, or Applied Mathematics. Alternatively, you have gained essentially corresponding knowledge in another way. The requirement for a degree must be
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strong background in mathematics and statistics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience, as well as skilled
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essentially corresponding knowledge in another way. A successful candidate should have excellent study results. It is also desirable that the applicant has a strong background in mathematics and statistics
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infrastructure, and flexibility in delivery both in terms of time and location. You will use mathematical modelling and big data sets to analyze capacity limitations and different charging conditions, and how
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, Electrical Engineering, or Applied Mathematics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Computer Science, Electrical Engineering, or Applied Mathematics. Alternatively