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principles. The candidates must also be able to quickly grasp emerging trends in the relevant discipline. The candidate should be willing to work using different programming languages/frameworks such as Python
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, problem-solving and project management skills. Candidates with strong quantitative skills, including familiarity with python and astronomy are desired for this project. Must be eligible to enrol in PhD
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essential. Excellent organisation and problem solving skills are expected and experience in data wrangling, processing and visualisation using R or Python would be advantageous but not essential
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with Python or C. Solid understanding of linear algebra, calculus, and probability theory. Strong background in machine learning and deep learning is highly preferred. The ideal candidate will have
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developing scientific software (using any of these languages/libraries: Python, Julia, C++, C, Fortran, Matlab, Fenics/FeniX, MFem, deal.II, libMesh, PETSc, Trilinos, Pytorch, TensorFlow, Jax, Keras, Pandas
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a member of a broader team, including with industrial partners Programming experience and expertise in Python and/or Matlab and/or C++. The candidate will be working on Signal Processing/Control Path