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Position: Doctoral student in computer science: Machine Learning
Institution: Malmö University
Location: Malmö, Skåne County, Sweden
Duties: This PhD position will focus on (i) the design and application of Deep Learning methods for Computer Vision tasks in the context of smart IoT camera networks and (ii) the development of AI-analytics framework for multi-modal IoT systems. The work will be carried out in a subproject that focuses on context-aware understandability of visual scenes, as well as developing data efficient and interactive learning techniques that put the human-in-the-loop. Additional areas of interest include investigating the synergies between federated learning, edge computing and privacy-preserving mechanisms for sensitive data. The research will be conducted in close collaboration with two of our industry partners
Requirements: passed a degree at advanced level, or; completed course requirements of at least 240 ECTS, of which 60 ECTS at advanced level, or; in some other way, in- or outside Sweden, have acquired equivalent knowledge (HEO Chapter 7 section 39)
   
Text: Doctoral student in computer science: Machine Learning This PhD position will focus on (i) the design and application of Deep Learning methods for Computer Vision tasks in the context of smart IoT camera networks and (ii) the development of AI-analytics framework for multi-modal IoT systems. The work will be carried out in a subproject that focuses on context-aware understandability of visual scenes, as well as developing data efficient and interactive learning techniques that put the human-in-the-loop. Additional areas of interest include investigating the synergies between federated learning, edge computing and privacy-preserving mechanisms for sensitive data. The research will be conducted in close collaboration with two of our industry partners passed a degree at advanced level, or; completed course requirements of at least 240 ECTS, of which 60 ECTS at advanced level, or; in some other way, in- or outside Sweden, have acquired equivalent knowledge (HEO Chapter 7 section 39)
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