Category Archives: Opportunities

Funding Opportunities

ACM SIGHPC/Intel Computational & Data Science Graduate Fellowships

ACM SIGHPC and Intel have launched an international graduate fellowship program aimed at increasing the diversity of students pursuing degrees in data science and computational science. This program will support students pursuing degrees at institutions anywhere in the world. Interested faculty advisors and students can find more information at Nominations close April 30, 2017. Contact with any questions.

HEP-CCE Announces: Graduate Student Summer Internship Program

The HEP-CCE announces a summer internship program for graduate students in the US who would like to work at Argonne National Laboratory, Fermilab National Accelerator Laboratory, and Lawrence Berkeley National Laboratory. The program covers the three high energy physics frontier  areas (Cosmic, Energy, and Intensity) and is aimed at  computationally-oriented graduate students interested in new  educational, training, and research opportunities. A strong computing/computational background is highly desirable. Continue reading HEP-CCE Announces: Graduate Student Summer Internship Program

Aurora Early Science Program Postdoctoral Appointments

The ALCF is seeking postdoctoral researchers to assist Early Science Program teams in their preparations to run the first science calculations on the facility’s next-generation supercomputer, Aurora. Over the next couple of years, these project teams from diverse scientific areas will be preparing their applications for the architecture and scale of Aurora, a 200-petaflops system based on third-generation Intel® Xeon Phi™ processors. For more details, visit:

Cori KNL Early Access Program

All NERSC Cori and Edison users are eligible to apply for early access to the regular KNL partition, which allows running jobs up to full system scale free of charge from March 1 to July 1. All users can currently run small jobs, but early access will enable users to run at scale.

To apply for early access, users will need to collect performance data on their application and fill out the application form at . We are accepting one application per repo, and the application can be submitted by any member of the repo. Please direct any questions to the consultants via,, or .

2017 Scientific Discovery through Advanced Computing: High Energy Physics

Letter of Intent Due Date: 1/17/2017 at 5 PM Eastern Time Proposal Due Date: 02/27/2017 at 5 PM Eastern Time

“The goal of this HEP-ASCR SciDAC 4 partnership program is to facilitate advanced and effective use of DOE HPC by major ongoing HEP experiments along with related theory and simulation activities and current and near term accelerator projects, via appropriate partnerships between the HEP and ASCR communities. The HPC systems embody a computing landscape and related hardware-software-data management computing eco-system of the future [ 6 ] and computational partnership research areas encompasses these. The HEP- ASCR Partnerships must work collaboratively across HEP experiments and research areas to develop shared computing solutions to address future HEP computing challenges related to use of DOE HPC. “

Berkeley Lab: Physicist Postdoctoral Fellow

Berkeley Lab’s Accelerator Technology & Applied Physics Division has multiple openings for Physicist Postdoctoral Fellows to work at the Center for Beam Physics (CBP) and the Berkeley Lab Laser Accelerator (BELLA) Center to develop and apply advanced computational methods and tools for plasma accelerators.

In collaboration with the Computational Research Division at LBNL, the National Energy Research Supercomputing Center, SLAC National Accelerator Laboratory and Lawrence Livermore National Laboratory, our team will lead the development of a new simulation tool that will harness the power of future exascale supercomputers for the exploration of outstanding questions in the physics of acceleration and transport of particle beams in chains of plasma channels. The new code will combine two major software components: the Particle-In-Cell framework Warp and the Adaptive Mesh Refinement BoxLib, and is one of the 15 research applications that are being funded by the Department of Energy’s Exascale Computing Project.