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operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing libraries (numpy, scipy, JAX…) and machine learning libraries
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on the intersection of data science, statistics and machine learning, all with applications to wind and solar energy science. You will be a part of an international team developing tools to plan and operate hybdrid
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Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and
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Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and
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engineering, computer science or similar Strong analytical and problem-solving skills Excellent written and verbal communication skills in English Ability to work independently and in cross-functional teams
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environmental datasets (e.g., topography, land cover) Strong programming skills in Python, including experience with scientific computing libraries Strong publication record relative to career stage Excellent
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(e.g., CNNs, UNets, Transformers) Proficiency in working with satellite data, particularly SAR and multi-spectral imagery Strong programming skills in Python and experience with deep learning frameworks
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/accessibility/expression testing, trajectory inference, etc. An understanding, experience and published outcomes from analysing and interpreting large datasets using statistical programming languages (e.g. R
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publication record in relevant fields. Solid programming skills and a collaborative mindset. Excellent communication skills in English (written and oral). Qualification requirements Appointment as postdoc
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programming and analytical skills. Ability to work independently and in collaboration with diverse teams. We offer DTU is a leading technical university globally recognized for the excellence of its research