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PhD Position in Reversible Programming for Energy Efficient Cyber-Physical Systems (MSCA Doctoral...
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content PhD Position in Reversible Programming for Energy
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The SDU Drone Center, part of the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), invites applications for a 3-year PhD position on reversible programming languages and their
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parallel project carried by another postdoc, which is focused on similar investigation on brain cells in donated postmortem brain tissue. You will be employed in the project Evaluating STING
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neuroinflammatory process in people with Parkison’s disease. The study will be complementary to a parallel project carried by another postdoc, which is focused on similar investigation on brain cells in donated
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scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data analysis is an advantage but is not required. We welcome applicants who
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involve scientific programming, analysis and documentation of results, and dissemination through peer-reviewed publications and international conferences. The position is offered within the Center for
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these skills further during your PhD. We expect that you are curious about glaciology, ice sheet processes and/or satellite remote sensing and motivated to learn or further develop programming and data
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solid academic foundation in quantitative analysis, system modelling, data science or related methods. Experience with programming and data analysis, preferably using Python or a similar programming
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Experience with programming using statistical software (such as SAS, Stata or R) is considered a strength but not a requirement Preferably prior experience with register-based and/or environmental
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: Outstanding scientific programming skills (Python, PyTorch/JAX) with a proven track record of developing, debugging, and scaling complex RL pipelines or custom simulation environments. Clean public