Margaret Butler Fellowship – Argonne Scholar

Argonne National Laboratory

Lemont, ILOn-siteFull time
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Pay
$85.8K to $143K
a year
Location
Lemont, IL
Work style
On-site
Job type
Full time
Posted
Oct 26
1 day ago
Career path

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About the company

Argonne National Laboratory

Research · 1,001 to 5,000 employees

Argonne National Laboratory on LinkedIn

What you'll do

  • Leverage the ALCF’s world-class computing resources
  • Work closely with multidisciplinary science teams to drive a research agenda
  • Help chart the future direction of scientific computing and artificial intelligence

What you need

  • Ph.D. in applied mathematics, physics, chemistry, computer science, or similar field
  • Ph.D. completed within the last 0-5 years, or to be awarded by the start of the appointment
  • Knowledge of high-performance computational science
  • Experience with at least one AI-driven approach
  • Strong analytical and problem-solving skills
  • Effective verbal and written communications skills
  • Demonstrated ability to collaborate effectively with researchers

Key skills

high-performance computational scienceAI-driven approachanalytical and problem-solving skillscollaborate effectively

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Perks

  • generous professional allowance

See full description on company page, apply now

Read the full posting here
The Argonne Leadership Computing Facility's (ALCF) Margaret Butler Fellowship in Computational Science is an exciting and unique opportunity to pursue high-impact scientific research at the intersection of Artificial Intelligence (AI) for Science and High-Performance Computing (HPC) to drive scientific discoveries. The mission of this fellowship is to broaden domain science in leadership-class computing. This postdoctoral fellow is expected to leverage the ALCF’s world-class computing resources. These include the Aurora Supercomputer — one of the two exascale computing platforms in the US, — and novel AI accelerators in the AI Testbed. The postdoctoral fellow will work closely with multidisciplinary science teams to drive a research agenda and help chart the future direction of scientific computing and artificial intelligence on leadership-class supercomputing facilities. The responsibilities will be determined based on the accepted research proposal and plan and based on meetings with the supervisor/mentor of this fellow. The appointment is for one year and may be renewed for another year, subject to performance, project needs, and funding availability. The benefits of the appointment include a highly competitive salary and a generous professional allowance. For additional details, including past recipients, see: https://www.alcf.anl.gov/margaret-butler-fellowship-computational-science This position requires some on-site presence at the Argonne campus in Lemont, Illinois, with the possibility of a hybrid schedule which applies to employees regularly scheduled for some onsite and some remote days, with employees typically working up to 40% of their time remotely. Position Requirements Ph.D. (completed within the last 0-5 years, or to be awarded by the start of the appointment) in applied mathematics, physics, chemistry, computer science, or similar field. Knowledge of high-performance computational science. Examples include, but are not limited to computational science research in at least one of the following: Biology; chemistry; earth science; engineering; materials science; nuclear energy; physics; renewable energy; energy science; artificial intelligence; numerical methods & applied mathematics Experience with at least one AI-driven approach, such as distributed foundation model development and Fine tuning; agentic AI orchestration; development and application of surrogate models; AI integration with autonomous laboratories; multimodal AI; etc. Strong analytical and problem-solving skills to contribute to creative solutions to complex problems Effective verbal and written communications skills Demonstrated ability to collaborate effectively with researchers and contribute to impactful research outcomes Ability to work effectively with collaborators within Argonne and at other laboratories, universities, computing centers, and industry organizations. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Job Family Argonne Scholar Job Profile Argonne Scholar Worker Type Long-Term (Fixed Term) Time Type Full time The expected hiring range for this position is $85,781.00-$142,968.00. 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 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. All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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