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OpenDue August 11, 2026

Correctness for Scientific Computing Systems

U.S. National Science Foundation

Who can apply

*Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. - <span>Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.</span> <ul> <li>DOE National Laboratories.</li> </ul> *Who May Serve as PI: By the submission deadline, any PI, co-PI, or other senior/key personnel must: o be a DOE National Laboratory employee; or o must hold either: <ul> <li> a tenured or tenure-track position, or</li> </ul> <ul> <li> a primary, full-time paid appointment in a research or teaching position</li> </ul> at a US-based campus of an organization eligible to submit to this solicitation (see above), with exceptions granted for family or medical leave, as determined by the submitting organization. Individuals with primary appointments at for-profit non-academic organizations or at overseas branch campuses of U.S. institutions of higher education are not eligible. A project must have at least one (co)-PI with expertise in scientific computing and at least one (co)-PI with expertise in formal reasoning and mechanized proving of properties of programs.

About this opportunity

Correctness for Scientific Computing Systems (CS 2 ) is a joint program of the National Science Foundation (NSF) and the Department of Energy (DOE). The program addresses challenges that are both core to DOE&rsquo;s mission and essential to NSF&rsquo;s mission of ensuring broad scientific progress. The program&rsquo;s overarching goal is to elevate correctness as a fundamental requirement for scientific computing tools and tool chains, spanning low-level libraries through complex multi-physics simulations and emerging scientific workflows. At an elementary level, correctness of a system means that desired behavioral properties will be satisfied during the system&rsquo;s execution. In the context of scientific computing, correctness can be understood, at both the level of software and hardw...

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