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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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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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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
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generation and robot programming to develop porous mineral interfaces informed by biological requirements. Living Material Design and Biological Performance: developing hydrogels incorporating living
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machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph representation learning. Programming skills (e.g., Python) and experience with deep learning
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, data analysis and programming skills (e.g., R, python, matlab, etc). We seek candidates that are team players who can play active scientific and social roles in a diverse and international lab setting