阿贡国家实验室博士后职位招聘–计算机科学、数学、统计学

Job Description

The Mathematics and Computer Science Division at Argonne National Laboratory seeks  well-prepared candidates for a postdoctoral position in scientific machine learning. The successful candidate will be performing theoretical, foundational, and applied machine learning research in reinforcement learning, higher-order graph neural networks, and/or surrogate-based mixed integer optimization for scientific applications and leveraging the developed methods to solve various learning challenges posed by Department of Energy scientific applications. The class of methods pursued is flexible based on a wide range of applications such as climate, nuclear physics, fusion science, and distributed infrastructures. The research will include scientific applications such as climate, nuclear physics, fusion science, and distributed infrastructures. The successful candidate will actively collaborate with computer scientists, mathematicians, and domain scientists and have the opportunity to build an independent research program.

The successful candidate will have the opportunity to use advanced supercomputers across the Department of Energy computing facilities such as planned Aurora (>50,000 GPUs) exascale system at the Argonne Leadership Computing Facility (https://www.alcf.anl.gov/aurora) as well as emerging novel AI accelerators from various hardware vendors such as Cerebras, SambaNova, Graphcore, and Groq (https://ai.alcf.anl.gov/).

Position Requirements

• PhD in computer science, mathematics, statistics, or a related discipline (completed within the last 3 years, or soon to be completed) with strong background in one or more of the following: Reinforcement learning, Geometric learning (graph neural networks), or related area.
• Graduate/postgraduate research in machine learning, computer science, and/or mathematical optimization.
• Strong development skills in deep learning frameworks (Tensorflow, Pytorch, JAX/Flax)

Preferred experience:

• Experience in interdisciplinary research involving computer scientists/mathematicians and discipline scientists
• Ability to work well with other laboratories and universities, supercomputer centers and industry
• Ability to provide project leadership as well as have collaborative skills
• Machine learning on high-performance computing systems and AI accelerators.

Job FamilyPostdoctoral Family

Job ProfilePostdoctoral Appointee

Worker TypeLong-Term (Fixed Term)

Time TypeFull 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.

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.

Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual’s age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.