Work collaboratively with computer scientists, computational scientists, applied mathematicians, and domain scientists • Develop software that integrates machine learning and numerical techniques targeting heterogeneous architectures (GPUs and accelerators), including DOE leadership-class supercomputing facilities, to enable and support scientific research • Identify and implement strategies for correctness and reproducibility testing, and analyze and optimize software scalability and performance • Apply software engineering and documentation best practices to ensure usability and maintainability • Present results at meetings, workshops, and conferences • Publish findings in conference proceedings and/or peer-reviewed journals. The Scientific Computing Applications group in CSD has an immediate opening for a Postdoctoral Research Associate to design, develop, and deploy machine-learning and high-performance computing workflows, algorithms, and software in support of Department of Energy (DOE) mission applications across a broad range of scientific domains, including materials, biology, physics, and nuclear science.