NESAP Postdoctoral Fellowships

Saul Perlmutter was once a postdoc (Photo: Berkeley Lab).

NERSC is looking for multiple highly motivated postdoctoral fellows to fill an essential role within the NERSC Exascale Science Application Program (NESAP). Through NESAP, postdocs collaborate with scientific teams to enable the solution of deep, meaningful problems across all program areas funded by the Department of Energy Office of Science. These science teams face challenges in enabling simulation of complex physical systems, advanced data analytics, and machine learning at scale on energy-efficient supercomputers. 

Successful candidates will join different teams working in one of three application focus areas: Simulations, data analytics, and learning (machine learning and deep learning). 

The NESAP Postdoctoral Fellowship Program began accepting applications Wednesday, October 31, 2018. The search for postdocs will continue until all positions are filled.

Submit your application to the NESAP Postdoctoral Fellowship Program today:

• NESAP for Data (new post coming soon)
• NESAP for Simulations
• NESAP for Learning

The Challenge

To enable new discoveries through simulation, data analytics, and ML/DL, NERSC will begin deploying “Perlmutter,” a Cray supercomputer, in 2020. Perlmutter, a system optimized for science, is a heterogeneous system including AMD CPUs and NVIDIA GPUs.  It also has a high-speed interconnect and an all-flash file system.

Perlmutter is NERSC’s first production GPU-based system. Many codes running at NERSC need to be adapted or optimized to run efficiently on GPUs. At the same time, solutions that put GPU performance in users’ hands are ideally portable ones.  NESAP is about employing cutting-edge computer science and advanced performance analysis tools to develop highly scalable, distributed parallel algorithms to meet this challenge.

As a NESAP Postdoctoral Fellow, you will be a part of a multidisciplinary team composed of computational and domain scientists working together to transition and optimize codes to the Perlmutter system and produce mission-relevant science that pushes the limits of HPC.  You will carry out code transition efforts in collaboration with a project PI and team members with the support of NERSC and vendor staff. Successful candidates are expected to collaborate with each other across NESAP program areas (simulations, data analytics, and learning).

NESAP has established a track record of enabling its postdocs to pursue careers in data science, HPC, and scientific computing both in industry and at national labs.  Take a look at what current and former NESAP postdocs are up to here.