Graduate Summer Internships in Parallel Computational Science

The Summer Internships in Parallel Computational Science (SIParCS) program at the National Center for Atmospheric Research (NCAR) offers graduate students and undergraduates who have completed their sophomore year significant hands-on R&D opportunities in high performance computing (HPC) and related fields that use HPC for scientific discovery and modeling. This program embeds students as summer interns in the Computational and Information Systems Laboratory (CISL), an organization within NCAR charged with provisioning supercomputing and data systems to the geosciences research community, as well as conducting research and development in computational science, data analysis, scientific visualization and numerical modeling. These twin roles of service and research in CISL support NCAR's broad scientific mission of discovery in the atmospheric and related sciences.

The 2025 summer internships are 11 weeks in duration. Applicants must be available to work 40 hours per week from May 19, 2025 through August 1, 2025 for participation in the program. NCAR has 3 unpaid holidays for interns during the summer internship (Memorial Day, Juneteenth, Independence Day).

Program requirements, beyond working on projects, include attending appropriate technical seminars, attending skills-enhancing workshops, preparing a poster, and giving an oral presentation of results at the end of the summer.

For Summer 2025, we are planning for an in-person/hybrid internship program where interns come on-site to our Boulder, Colorado campuses and on occasion meetings may be held virtually over Zoom or Google Meet.

NSF NCAR’s Computational and Information Systems Laboratory (CISL) is a leader in supercomputing and data services necessary for the advancement of atmospheric and geospace science. CISL’s mission is to remain a leader at the forefront of ensuring that research universities, NSF NCAR, and the larger atmospheric, oceanographic, and related research communities have access to the computational resources they need for their research. To fulfill the need for a stronger workforce at the intersection of High Performance Computing (HPC) and geoscience problems, CISL engages in education and outreach activities to inspire and attract a diverse future workforce.

UCAR values diversity and encourages those in underrepresented groups to apply. AA/EOE 

The project qualifications describe the ideal skill set we look for in candidates. We encourage you to apply even if you do not possess all of the listed qualifications.