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Postdoctoral Appointee-Extreme-Scale In-Situ Visualization and Analysis of Fluid-Structure-Inter
Requisition Number: 409469 Location: Lemont, IL
Functional Area: Research and Development Division: LCF-Leadership Computing Facility
Employment Category: Temporary 6 Months or Greater Education Required: Not Indicated
Level (Grade): 700 Shift: 8:30 - 5:00
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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and computational science expertise

With the coming Aurora exascale supercomputer, the ALCF has an opening for a postdoctoral position in developing in situ and in transit techniques for applying visualization, data analysis and machine learning methods to physics-based simulations. The successful candidate will contribute as a member of a dynamic, multidisciplinary team of computer scientists, applied mathematicians, and biomedical engineers developing innovative techniques that enable large-scale fluid dynamics simulations on next-generation high performance architectures.   This project is in collaboration with the Randles Lab at Duke University and involves developing predictive, physics-based models of patient-specific blood flow.

Essential Duties:

  • Leverage new and existing in situ technologies to incorporate visualization and analysis capabilities into large-scale fluid dynamics simulations.
  • Research, design, and implement new machine learning-based tools that will accelerate training on large-scale fluid dynamics data sets.
  • Contribute novel analysis and transformational ideas to support in situ analysis and ML-training for patient-specific blood flow modeling
  • Solve abstract complex problems and/or ideas and convert them into usable algorithms and software
  • Document research by publishing papers in peer-reviewed media and presenting papers within the HPC community and at conferences
  • Contribute to group grant proposals, including proposal presentations and preparation of proposal that will provide future research opportunities in the field
  • Participate in the establishment of future research directions
  • Perform other duties as assigned
  • Work in a collaborative multidisciplinary team environment to accomplish goals and interact with the team at ANL and Duke weekly

Required Qualifications:

  • Recent Ph.D. in biomedical engineering, computer science, applied mathematics, or a related field.
  • Expertise in C/C++ in a UNIX environment
  • Expertise using Python and/or other scripting languages
  • Expertise in parallel programming and using MPI and OpenMP
  • Effective verbal and written communication skills necessary to interact with a multi-disciplinary research team, author technical and scientific reports and papers, and deliver scientific presentations
  • Demonstrated experience developing independent research and experience in the identification of complex problems and solutions in a creative and timely manner
  • Experience in applying large-scale simulation to study biomedical phenomena
  • Experience with scientific applications and numerical algorithms
  • Experience with the lattice Boltzmann method for large-scale computational fluid dynamics

Desired Qualifications:

  • Experience with applying machine learning to physics-based models 
  • Experience with the HARVEY software package

As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other 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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