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of the Department of Computer Science (DIKU), University of Copenhagen, invites applications for a 3-year PhD position on reversible programming languages. The project The position is funded by the
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be considered eligible. Workplace description The Programming Languages and Theory of Computation ( PLTC ) Section is part of the Department of Computer Science ( DIKU ) at the Faculty of Science
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Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering , with demonstrated knowledge in machine learning, algorithms, and programming. Prior exposure to reinforcement learning
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Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering , with demonstrated knowledge in machine learning, algorithms, and programming. Prior exposure to reinforcement learning
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profile Excellent Master's degree in Computer Science, Software Engineering, or a closely related field. Strong interest in research in one or more of the areas of software engineering, programming
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research in leading journals and conferences. Attract competitive research funding in Denmark and Europe. Teach and develop courses in parallel computer systems, parallel programming, and HPC, and supervise
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expect you to hold an MSc in computer science, software engineering, or a closely related field, or to complete one before the start date. The core of the work is programming languages and software
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participate in grant writing and proposal development activities Your profile You have a university-level master's degree in computer science Desirable: previous publications in journals or
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) in Business Administration, Computer Science, Data science, Artificial Intelligence, Business Informatics, or a related field, with excellent academic results Strong interest in research at the
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PhD Position in Reversible Programming for Energy Efficient Cyber-Physical Systems (MSCA Doctoral...
Moller Institute, University of Southern Denmark (SDU), invites applications for a 3-year PhD position on reversible programming languages and their use for energy efficient cyber-physical systems. The