Company
Argonne National Laboratory
Company Website
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Temporary
Closes: 1 November 2021
  • November 1, 2021
  • Argonne Scholar-Margaret Butler Fellowship

    Position Description

    The Butler Fellowship is an exciting and unique opportunity to lead and contribute to new scientific applications of high-performance computing (HPC). This includes techniques to substantially improve the performance and range of science and engineering applications supported at the Argonne Leadership Computing Facility (ALCF), one of the world’s premier HPC Centers. The incumbent will work closely with multidisciplinary ALCF and science project teams throughout the HPC community to help chart the future direction of scientific computing and leadership-class supercomputing facilities.

    Research direction can include any combination of simulation, data, or learning sciences.  Considerable knowledge of high-performance computational science, examples include but not limited to: computational biology; chemistry; earth science; engineering; materials science; nuclear energy; physics; renewable energy; energy science; and mathematics.  Considerable skill in the solution of computational science problems using scalable parallel computers and large data systems.  In addition, candidates should show: Effective analytical and problem-solving skills to contribute to creative solutions to complex problems. Good communications skills, both verbal and written. Good collaborative skills, including the ability to work well with other labs, universities, computing centers, and industry. Good ability to keep abreast of advances in areas of interest, thereby enabling more effective interactions with researchers.

    Position Requirements:

    Ideal candidates are expected to have:

    A recent PhD in a related field, or a PhD that will be completed soon
    Knowledge of high performance computational science, examples include but not limited to: computational biology; chemistry; earth science; engineering; materials science; nuclear energy; physics; renewable energy; energy science; and mathematics
    Skill in the solution of computational science problems using scalable parallel computers and large data systems
    Effective analytical and problem-solving skills to contribute to creative solutions to complex problems
    Good communications skills, both verbal and written
    Good collaborative skills, including the ability to work well with other labs, universities, computing centers, and industry
    Ability to keep abreast of advances in areas of interest, thereby enabling more effective interactions with researchers

    Applicants should provide a one page research plan or a summary of research interests that align with the Margaret Butler Fellow mission of broadening domain science in the leadership class computing.

    November 1, 2021 is the deadline for all applicant submissions.