Postdoctoral Research Associate

Brookhaven National Laboratory

Upton, New York, United States
Base: $71,900 - $119,000 / year; bonus/equity: not...
Hybrid
Phd in computational physics or related field
High-performance computing (hpc) experience
Programming proficiency in c/c++ and python
The role involves designing and deploying machine-learning and high-performance computing workflows to support Department of Energy mission applications

Job Summary

  • The role involves designing and deploying machine-learning and high-performance computing workflows to support Department of Energy mission applications.
  • Candidates will collaborate with domain scientists to co-develop cutting-edge computational techniques for scalable ML training and surrogate modeling.
  • The position offers a two-year initial appointment with the possibility of extension and career growth contingent on performance and funding.

Matching Summary

The role involves designing and deploying machine-learning and high-performance computing workflows to support Department of Energy mission applications.

Salary

Base: $71,900 - $119,000 / year; Bonus/Equity: Not specified; Benefits: Comprehensive employee benefits program included

Skills & Requirements

Must-have

  • PhD in Computational Physics or related field
  • High-performance computing (HPC) experience
  • Programming proficiency in C/C++ and Python
  • Parallel programming model knowledge (MPI, CUDA)
  • Machine learning model training and evaluation

Nice-to-have

  • Experience scaling ML on multi-node HPC systems
  • Background in software performance profiling
  • Knowledge of adaptive computational workflows
  • Contributions to open-source software projects
  • Familiarity with exascale platforms like Frontier

Key Requirements

  • PhD required prior to employment
  • Maximum 5 years post-PhD work experience
  • On-site work at Upton, NY campus

Work Rights

REAL-ID compliant documentation required for site access

Tailored Resume

Cover Letter