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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered relevant for the research topic, or completed courses with a minimum of 240 credits
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of full-time. Your qualifications You have graduated at Master’s level in biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered
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Science, Computational Science and Engineering or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in which you have gained expertise in applied mathematics
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different backgrounds. This position requires that you have graduated at Master’s level in in computer science, media technology, computer engineering, human-computer interaction, visual learning and
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maximum of 20 per cent of full-time. Your qualifications You have a master’s degree in electrical engineering, engineering physics, computer science, applied mathematics or have completed courses with a
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University. We value diversity in experiences and perspectives, and the division represents diverse background– engineers, natural and social scientists. In the research groups we work together to develop and
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duties, up to a maximum of 20 per cent of full-time. Your qualifications To be employed as a PhD student you need to have completed a degree at Master’s level in Electrical Engineering, Computer
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departmental duties, up to a maximum of 20 per cent of full-time. Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of
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application! Your work assignments Spatio-temporal processes are everywhere in science and engineering, with applications ranging from weather prediction to cardiovascular medicine. Developing machine learning