Postdoctoral Appointment in AI for Science Architectures

Argonne National Laboratory

United States

ALCF’s datascience group seeks a post-doctoral candidate to work on performance modeling and optimization of scientific machine learning applications on GPU and novel AI systems.

The successful candidate will develop and optimize scientific machine learning applications on novel architectures and well as work toward the design of future supercomputers to meet the needs of AI applications.

The candidate will also have the opportunity to explore these tests and features in novel AI Hardware, such as that hosted at the ALCF AI-Testbed (

The work will take place in a multi-disciplinary environment and will offer opportunities to interact with a wide range of talents from the whole spectrum of HPC research.

The successful candidate will be expected to present and publish their work at major symposia and journals.

You can expect to:

Conduct research and development aligned with Argonne’s strategic missions in computation.

Conducts work in computational science and leadership computing and promotes findings through publications, presentations, program reports, software dissemination and other means of reporting outcomes.

Contributes to discovery and technological advances in application science, with emphasis on the applications of exascale (and beyond) computer architectures, e.g., to address data architecture challenges and algorithm implementation challenges of high-performance simulations.

Strengthen your career path opportunities by applying new techniques, developing independent research capabilities and building professional skills such as communication, networking and leadership.

Work closely with industry, national lab and universities on the design of current and future systems to meet the AI for science mission Position Requirements

Position Requirements

A recent Ph.D. (typically completed within 3 years) and 0-3 years of experience in computer science, computer engineering, computational science, or a related field

Experience in GPU and accelerator computing, including reduced precision.

Experience related to parallel algorithms, I/O architectures, or performance evaluation and tuning

Extensive expertise in multicore systems, concurrency, and scientific application codes Effective written and communication skills

Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork

Job Family Postdoctoral Family Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full time

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Please note that all Argonne employees are required to be vaccinated against COVID-19. All successful applicants will be required to provide their COVID-19 vaccination verification as a condition of employment, subject to limited legally recognized exemptions to COVID-19 vaccination. Interested in translating science into innovation? Build your career at Argonne. At Argonne, we view the world from a different perspective. Our scientists and engineers conduct world-class research in clean energy, the environment, technology, national security and more. We’re finding creative ways to prepare the world for a better future.

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