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 biomedical science. In this role, you will work on extending the MVP-CHAMPION project, an ambitious initiative addressing pressing challenges in healthcare for veterans. In collaboration with the Department of Veterans Affairs, we are developing HPC and AI-driven models to analyze health data from the Million Veteran Program. These analyses and models aim to improve early diagnosis, treatment plans, and outcomes for chronic diseases, mental health issues, and complex conditions prevalent in the veteran population. This project demonstrates the potential of large-scale data and advanced AI techniques to generate actionable insights that directly impact patient care. 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 developing HPC methods for accelerating biomedical research along with experience in developing 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 + Inference acceleration + 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. This position is available immediately, but there is flexibility in start dates. **Position Requirements** + PhD (completed within the last 5 years or soon to be completed in 2025) 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 **Job Profile** Postdoctoral Appointee **Worker Type** Long-Term (Fixed Term) **Time Type** Full time The expected hiring range for this position is $70,758.00 - $110,379.55. 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 (https://www.anl.gov/hr/healthcare-insurance) to view Argonne employee benefits! _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._