Postdoctoral Appointee - Foundation AI Models for Science (AuroraGPT)

Lemont, IL USA

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Argonne National Laboratory invites applications from outstanding candidates with a background in artificial intelligence (AI) and machine learning (ML) for postdoctoral research positions in the area of developing large-scale foundation models for advancing science. In this role, you will work on the AuroraGPT project, an ambitious new initiative at Argonne that aims to revolutionize scientific and engineering research by building an advanced AI model specifically tuned for science.

Applications are solicited from candidates with expertise in any area of AI foundation model development including, but not limited to, the following:

  • Multi-modal architectures for science
  • Data strategies for model training
  • Model training on large scale systems
  • AI evaluation and safety for science
  • Model fine tuning and instruct tuning
  • Inference acceleration
  • Surrogate models
  • Applications of foundation models for accelerating discovery
     

In this role, you will have the opportunity to collaborate with a large number of Argonne scientists working in the area of AI for Science and to run on advanced supercomputing facilities at the Argonne Leadership Computing Facility (ALCF), including the Aurora exascale system, other GPU-based systems, as well as specialized AI hardware from vendors such as Cerebras, SambaNova, Graphcore, Intel Habana, and Groq.

These positions are available immediately, but there is flexibility in start dates.

Position Requirements

  • PhD (completed within the last 5 years or soon to be completed) in computer science, physical sciences, engineering, or related field
  • Research experience in any area of foundation model development listed above
  • Experience with machine learning methods and deep learning frameworks such as PyTorch
  • Knowledge of software development practices and techniques for computational and data-intensive science problems
  • Effective collaboration skills and ability to work in a team environment
  • 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

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.  

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Computer Science Deep Learning Engineering GPU Machine Learning ML models Model training PhD PyTorch Research

Perks/benefits: Team events

Region: North America
Country: United States

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