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well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/ida The position is based at the Division of Statistics and Machine Learning (STIMA). We conduct research
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application! We are looking for a PhD student to the Division of Communication Systems at the Department of Electrical Engineering (ISY). Your work assignments The position focuses on privacy and security
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quantification in science, engineering, and machine learning. Your workplace You will be employed at the Division of Applied Mathematics in a welcoming and international work environment. The research group in
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qualifications For this position we are looking for someone who have completed a degree at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240 credits of which
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out without a solid theoretical foundation. This leads to unpredictable behavior, which is a major bottleneck for efficient and resilient control of complex systems in engineering and medicine. Your
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level in Transportation Systems, Logistics, Supply Chain Management, Industrial Engineering, Applied Mathematics or other relevant education at master's level with at least 240 higher education credits
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, undergraduate and postgraduate education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en
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from candidates with an M.Sc. degree (or equivalent, including candidates who are about to complete their degrees) in materials science, chemistry, physics, or related fields. In addition to the above
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18 Dec 2025 Job Information Organisation/Company Linköping University Research Field Communication sciences Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 6 Feb
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technology or construction engineering or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge