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, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on methods that reduce compute, energy
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at Master’s level in Computer Science, Electrical Engineering, or Applied Mathe- matics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Computer Science, Electrical
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Innovative city . The position is formally based at the Division of Statistics and Machine Learning (STIMA) within the Department of Computer and Information Science . At STIMA, we conduct research and
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. This position, funded by the Swedish Research Council (VR), offers an exciting opportunity to work at the forefront of AI security, tackling some of the most pressing challenges in the field. As a PhD student
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priority research areas. Since 2008 REMESO’s PhD education is integrated with an international Graduate School in Migration, Ethnicity and Society. More about the REMESO research environment here https
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application! We are looking for a PhD student in Medical Science Your work assignments As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your
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application! We are looking for a PhD student in Medical Science Your work assignments As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your
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workplace The position is formally based at the Division of Statistics and Machine Learning (STIMA) within the Department of Computer and Information Science . At STIMA we conduct research and education in
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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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a PhD student, you will explore: how firms use specialized AI to strengthen their competitive position how new offerings and business models emerge how value creation and collaboration in ecosystems