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Field
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architectures, distributed computing, high performance and parallel computing, ethical and sustainable computing, artificial intelligence. The journal will also explore opportunities in emerging and
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be considered an asset Proven record in publication
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Doctoral/PhD degree in astronomy/astrophysics with affinity for programming, or in computer science/applied mathematics with affinity for astronomy/astrophysics. • You can demonstrate excellent abilities
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such as aeroacoustics. Furthermore, the high scalability on massively parallel computers can lead to advantageous turn-around times for industrial applications. The Laboratory of Fluid Mechanics and
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such as aeroacoustics. Furthermore, the high scalability on massively parallel computers can lead to advantageous turn-around times for industrial applications. The Laboratory of Fluid Mechanics and
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Doctoral/PhD degree in astronomy/astrophysics with affinity for programming, or in computer science/applied mathematics with affinity for astronomy/astrophysics. • You can demonstrate excellent abilities
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distributed computing for EMT simulations. • Experience with software development in Python, C++, or other programming languages. • Familiarity with GPU acceleration of numerical solvers, parallel sparse
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-relevant media are a strong plus. Very good organizational skills are highly desirable. Knowledge of parallel computing and use of GPUs are desirable. Supervision and teaching experience is an advantage
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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research