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linking ML, systems, and hardware design. Experience in one or more of: LLMs, AI agents, embedded ML, physical modelling and simulation Strong programming skills in Python and C/C++, familiarity with ML
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running on distributed systems; main programming languages and technologies include Python, Numpy, Xarray, and C++. Ensure the data processing framework remains highly performant, scalable, and cloud-native
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such data; hands-on experience in scaling up and/or parallelizing codes on HPC systems using languages such as e.g., C/C++, Fortran, Python; solid knowledge of parallel programming models (e.g., MPI, OpenMP
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(master's level or above) or equivalent, in Computer Science, Software Engineering, Computational Science, Physics, Astrophysics, or a related field. Programming Skills: Proven proficiency in programming
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programming in Julia or a strong willingness to learn Strong English speaking and writing skills Able to work well in a team Heliosphere / plasma science, cosmic dust science, astrodynamics Parallel processing