Postdoctoral Appointee - AI-Powered Materials Discovery

The Argonne Leadership Computing Facility (ALCF) and Computational Science Division (CPS) and Argonne National Lab (near Chicago, USA) is seeking postdoctoral researchers to accelerate development of multi-fidelity models in materials science leveraging advances in artificial intelligence and exascale computing. The postdoctoral researcher will work on development of interpretable and efficient modeling tools to advance the discovery of new materials.

Argonne National Laboratory is a multi-disciplinary research institution offering world-class opportunities in High-Performance Computing and housing the Argonne Leadership Computing Facility (ALCF), the Mathematics and Computer Science Division (MCS), the Computational Science Division (CPS), and the Data Science and Learning Division (DSL). The postdoctoral researcher will have the opportunity for extensive collaborations across the computing divisions as well as experimental and computational groups in the Center for Nanoscale Materials (CNM) and the Advanced Photon Source (APS) at Argonne.

Position Requirements

Required skills and experience:

• Ph.D. (completed within the last 0-5 years) or equivalent experience in a computational science discipline, computer science, or in a related field
• Strong programming skills in one or more scientific programming language, such as C++ and Python
• Experience with frameworks for data analytics and artificial intelligence
• Experience with multimodal knowledge graphs
• Experience with developing machine-learned interatomic potentials and deploying them in large-scale molecular simulations.
• Experience with scientific computing and software development on HPC systems
• Ability to conduct independent research and demonstrated publication record in peer-reviewed journals and conferences
• Effective communication skills, both verbal and written, for effective collaboration with interdisciplinary teams and clear presentation of complex technical information
• Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork

Desired skills and experience:

• Experience in GPU programming with one or more parallel computing models
• An understanding of computer architecture and experience in the analysis and improvement of applications performance

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.

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