Analyze and model performance of scientific and AI applications; Develop and tune algorithms and runtimes for GPU-accelerated HPC systems; Participate in a multidisciplinary team involving computer scientists, applied mathematicians, and domain scientists with the purpose of developing and deploying these codes for the solution of scientific and engineering problems; Document work and results in the form of journal papers and conference proceedings; Present work and results at scientific meetings
Requirements:
PhD degree, within the last 3 years, in computer science, applied math, computational science, or a related technical field; Experience in using at least one of the GPU programming models (e.g. OpenMP, OpenACC, or vendor-specific ones); Familiarity with performance profiling infrastructures; Excellent written and oral communication skills
Text:
Postdoctoral Fellow in Supercomputing Performance Analyze and model performance of scientific and AI applications; Develop and tune algorithms and runtimes for GPU-accelerated HPC systems; Participate in a multidisciplinary team involving computer scientists, applied mathematicians, and domain scientists with the purpose of developing and deploying these codes for the solution of scientific and engineering problems; Document work and results in the form of journal papers and conference proceedings; Present work and results at scientific meetings. PhD degree, within the last 3 years, in computer science, applied math, computational science, or a related technical field; Experience in using at least one of the GPU programming models (e.g. OpenMP, OpenACC, or vendor-specific ones); Familiarity with performance profiling infrastructures; Excellent written and oral communication skills
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