• Assistant Computational Scientist - DUNE Software…

    Argonne National Laboratory (Lemont, IL)


    Argonne National Laboratory’s High Energy Physics (HEP) Division invites applications for an Assistant Computational Scientist to advance software and computing for the Deep Underground Neutrino Experiment (DUNE).

     

    The HEP Division conducts research across the Energy, Intensity, Cosmic, and Theory Frontiers, with additional strengths in Detector Development and Advanced Accelerator R&D. The Intensity Frontier group holds recognized roles within the international DUNE collaboration and is deeply engaged in high-performance computing, working closely with Argonne’s Leadership Computing Facility (ALCF).

     

    The successful candidate will contribute to the research and development of core data-processing frameworks for high energy physics experiments, with a primary focus on input/output (I/O) software and event data storage for DUNE. The role offers opportunities to collaborate broadly with HEP scientists within DUNE and to engage in other aspects of DUNE Software and Computing R&D, including high-performance computing, accelerator integration, and support for AI/ML workflows.

    Key responsibilities

    + Design, develop, and optimize I/O software and event data storage solutions for DUNE

    + Contribute to core processing frameworks used across HEP experiments

    + Collaborate with DUNE software and computing teams at Argonne and across the international collaboration

    + Engage with high-performance computing resources and workflows, including work aligned with ALCF

    + Support accelerator integration and AI/ML workflow enablement as project needs evolve

    Position Requirements

    + The successful candidate should have a Ph.D. in High Energy Physics, Computer Science or a closely related field

    + Programming expertise, ideally in C/C++ and/or Python

    + Comprehensive knowledge of input/output systems and data persistence

    + Deep understanding of data models and prior experience with ROOT software

    + Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork

     

    RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0+ years, or equivalent

     

    The expected hiring range for this position is $90,063 to $143,010 annually

     

    Job Family

     

    Research Development (RD)

     

    Job Profile

     

    Computational Science 2

     

    Worker Type

     

    Regular

     

    Time Type

     

    Full time

     

    The expected hiring range for this position is $90,063.00 - $143,010.27.

     

    Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

     

    Click here (https://www.anl.gov/hr/healthcare-insurance) to view Argonne employee benefits!

     

    _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._

     

    _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department._

     

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