Intern, R&D Graduate Summer - Computer Science Research Institute (CSRI),Onsite
About the role
We are seeking summer R&D graduate interns to join our dynamic team. The Computer Science Research Institute (CSRI) seeks several students to participate in collaborative research across a wide range of areas in computer science, applied mathematics, discrete mathematics, mathematical modeling, artificial intelligence, computational science and engineering, and high-performance computing. Possible research areas include quantum computing, advanced computer architectures, systems software, parallel algorithms, programming languages and paradigms, machine learning, data sciences, inverse methods, topology and shape optimization, computational geometry, materials, combinatorial mathematics, discrete event simulation, scalable solvers, continuous and discrete optimization, uncertainty quantification, statistics, multiscale methods and mathematics, multiphysics modeling, visualization, advanced modeling and simulation, human decision modeling, and brain inspired computing. Students are also sought with interests in applying computational methods to scientific and engineering applications molecular dynamics, magnetohydrodynamics, computational fluid dynamics, electrical systems, rapid advanced manufacturing, and climate security. These student internships are for motivated and enthusiastic individuals with excellent communication skills and who have the desire to gain research experience in a highly collaborative research environment. Successful applicants will be exposed to a wide range of computational research at Sandia and will have a strong project-based research experience working directly with Sandia staff scientists. This opportunity is for Sandia's Albuquerque, NM laboratory.
The Computer Science Research Institute (CSRI) at Sandia creates technology and solutions for many of our nation's most demanding national security challenges. The Institutes' portfolio spans the spectrum from fundamental research to state-of-the-art applications. Our work includes computer system architecture (both hardware and software); enabling technology for modeling physical and engineering