Postdoctoral Appointee

1 month ago

Lemont, United States Argonne National Laboratory Full time

The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites candidates to apply for a postdoctoral position in the areas of federated learning and distributed computing.

This postdoctoral appointee will work on integrating Argonne's federated learning tool (APPFL) and the Globus suite into the Argonne Leadership Computing Facility (ALCF)'s Nexus workflows, supporting the Department of Energy (DOE) user facilities. This position offers a unique opportunity to collaborate with leading scientists from MCS, DSL, and ALCF, and to develop innovative techniques for federated learning and services across multiple facilities.

Key Responsibilities:

  • Develop and implement techniques for integrating APPFL and the Globus suite into Nexus workflows.
  • Collaborate closely with scientists from MCS, DSL, and ALCF to understand their needs and develop customized solutions.
  • Create new methods and algorithms for federated learning that can be applied across multiple DOE user facilities.
  • Contribute to the expansion of the federated learning and distributed computing capabilities, enhancing its services and usability.
  • Participate in interdisciplinary research projects and contribute to scientific publications.
  • Present research findings at national and international conferences.
Position Requirements

Required skills and qualifications:
  • Recently or soon-to-be completed Ph.D. (within the last 0-5 years) in Computer Science, Applied Mathematics, Electrical Engineering, or a related field
  • Skilled in federated learning, distributed computing, or machine learning.
  • Experience with software development and integration, particularly in high-performance computing environments.
  • Proficiency in Python.
  • Excellent communication and teamwork skills, with the ability to work in a multidisciplinary environment.
Preferred skills and qualifications:
  • Experience with scientific computing workflows and data management.
  • Knowledge of DOE user facilities and their computational needs.
  • Demonstrated ability to conduct independent research and contribute to collaborative projects.
  • High performance computing (HPC) experience.


Job Family
Postdoctoral Family

Job Profile
Postdoctoral Appointee

Worker Type
Long-Term (Fixed Term)

Time Type
Full time

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.

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