The Data Science and Learning (DSL) Division in collaboration with X-ray Science Division at Argonne National Laboratory seeks a postdoctoral appointee to perform research and development in applying artificial intelligence (AI) and machine learning (ML) for science as well as developing systems for AI/ML.
In this role you can expect to:
- Perform research and development in systems, including networks and edge resources, and HPC for efficient usage of the resources for ML/DL tasks.
- Apply artificial intelligence (AI) and machine learning / deep learning (ML/DL) methods to scientific problems, collaborating with a broad spectrum of domain scientists.
- Uses 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, and Groq.
- Perform scalability studies, performance tuning, porting to new platforms, and incorporating new AI methods to solve scientific problems.
- Work with scientists and engineering staff to put the tools in to practice.
Position Requirements
- Recently completed PhD (within the last 0-5 years) in computer science, physical sciences, engineering, or related field.
- Comprehensive knowledge in HPC, parallel and distributed computing, and systems programming.
- Experience in programming with one or more programming languages, such as C, C++, or Python.
- Experience with machine learning methods and deep learning frameworks, such as TensorFlow or PyTorch.
- Knowledge of modern software development practices and techniques.
- Effective collaboration skills and ability to work in a team environment.
- Ability to document results in publications, technical reports, and scientific presentations.
- Experience and skills in interdisciplinary research involving computer and other domain scientists.
- 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 timeThe 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 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.
