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Education and Experience Preferred Qualifications: PhD in Computer Science, engineering, science, Mathematics, Data Science or similar quantitative subject areas. Expert knowledge of HPC systems, best
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Education and Experience Preferred Qualifications: PhD in Computer Science, engineering, science, Mathematics, Data Science or similar quantitative subject areas. Expert knowledge of HPC systems, best
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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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optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
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Computer Science or a closely related discipline. Strong research background in computer systems includes, but is not limited to, operating systems, networks, embedded systems, parallel or distributed
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background in computer systems includes, but is not limited to, operating systems, networks, embedded systems, parallel or distributed systems, internet of things, or cyberphysical systems. Successful
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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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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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-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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. Additionally: • Main-author publications in renowned subject-relevant media are a strong plus. • Very good organizational skills are highly desirable. • Knowledge of parallel computing and use of GPUs