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: Prof. Diana Göhringer (Chair of Adaptive Dynamic Systems) Terms: 100% of the full-time weekly hours Tasks: The PhD student will be responsible
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highly desirable that you have a sound understanding of robotics, machine learning, and AI. Benefits Attractive salary up to £35,116 per annum Excellent conditions including - social security tax, health
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, their achievements and productivity to the success of the whole institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Robotics offers a full-time
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on how to use and create digital technologies to study and improve human’s lives (e.g., by enhancing learning, improving mental health, teaching green skills, strengthening cybersecurity). The xCIT team is
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in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix- Your profile Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with
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idea at the department is to stimulate translational research and thereby closer interactions between medical research and health care. Research is presently conducted in the following areas: medical and
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holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 13 August 2025 The Role As part of the project
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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for wind turbines, with the ultimate objective of including structural health information in windfarm asset management to optimise structural lifetime consumption while guaranteeing optimal power production
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, and virology. The research is essentially of fundamental nature, but with relevance and application in health and disease in both animals and humans. More info: Research – Uppsala University Data-driven