Postdoctoral Appointee – Machine Learning for Lattice Quantum Chromodynamics

Argonne National Laboratory

Lemont, IL

Job posting number: #7062159 (Ref:407286)

Posted: November 4, 2019

Application Deadline: Open Until Filled

Job Description

The mission of the Argonne Leadership Computing Facility (ALCF) 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 expertise.

We invite you to apply for a postdoctoral appointee position with the ALCF. You will research and develop a scientific workflow targeting our forthcoming exascale supercomputer, Aurora, which will couple machine learning (ML) improvements into the lattice quantum chromodynamics (LQCD) approach. Machine learning methods will include deep reinforcement learning and Gaussian-process hyperparameter optimization. The physics focus is first-principles determination of possible interactions of dark matter candidate particles with nuclei—prohibitively expensive to compute with traditional LQCD even at exascale, but possible with acceleration and optimization using ML.  The position is with a project under ALCF’s Aurora Early Science Program, which combines the efforts of multi-institutional investigator teams with ALCF staff and Aurora vendor applications experts. 

In addition to the project PI and extended project team, you will work with the Computational Science (Catalyst) and Data Science teams at ALCF. You will have a rare chance to learn and exploit some of the world’s largest supercomputers, and use state-of-the-art techniques on our current and next-generation supercomputing systems to help solve significant scientific problems.


Ideal candidates are expected to have:

  • PhD + 0-3 years in computational sciences including physics, and engineering, or in a related field.
  • Comprehensive knowledge of numerical methods, parallel programming, machine learning/deep learning methods and frameworks.
  • Comprehensive experience programming in one or more programming languages such as C, C++, and Python.
  • Considerable knowledge of parallel algorithms, distributed memory architectures, and parallel performance evaluation of domain specific implementations.
  • Candidate should have the ability to create, maintain, and support high-quality software. An ideal candidate would have published their scientific software in a public repository (e.g. GitHub).
  • Good communication skills.
  • Considerable independent judgment and critical thinking.
  • Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork

Desirable Knowledge and Skills

  • Considerable knowledge of (and experience with) high energy physics, nuclear physics, and the numerical methods applied in lattice quantum chromodynamics.
  • Considerable knowledge of (and experience with) machine learning/deep learning methodologies and software frameworks.
  • Expert level knowledge of (and experience with) C++.
  • Good experience and skills in interdisciplinary teams involving mathematicians, computer scientists, and discipline scientists.
  • Collaborative skills including the ability to work well with other laboratories and universities, supercomputer centers, and industry.
  • Good publication record, preferably including first-author publication(s).
  • Experience with scientific applications that scale to several thousand MPI processes on massively parallel platforms.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1. You will be asked to disclose any such participation in the application phase for review by Argonne’s Legal Department.

 

As an equal employment opportunity and affirmative action employer, 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, 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 Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1. You will be asked to disclose any such participation in the application phase for review by Argonne’s Legal Department.



Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.


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More Info

Job posting number:#7062159 (Ref:407286)
Application Deadline:Open Until Filled
Employer Location:Argonne National Laboratory
Argonne,Illinois
United States
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