Intern, R&D Graduate Summer

About the Role

We are seeking summer R&D graduate interns to join our dynamic team. The Computer Science Research Institute (CSRI) at Sandia 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
• 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
• 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.

Key Responsibilities

• 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.
• Gain research experience in a highly collaborative research environment.
• Be exposed to a wide range of computational research.
• Have a strong project-based research experience working directly with Sandia staff scientists.

Requirements & Tech Stack

• Earned bachelor's degree
• Currently attending and enrolled full time in the spring term immediately preceding the internship (or scheduled to graduate in the spring) in an accredited science, engineering, or math graduate program
• Minimum cumulative GPA of 3.0/4.0
• Ability to work up to 40 hours per week during the summer
• U.S. citizens, legal permanent residents, asylees or refugees in the U.S.
• If you have not yet started your graduate program, please apply to an undergraduate intern position.

Qualifications We Desire

• Majoring in artificial intelligence, chemistry, computer science, engineering, mathematics, neuroscience, physics, statistics, or a related field
• Communication skills appropriate for participating in multi-disciplinary research teams
• Software development and programming experience (C++, C, Fortran, Matlab, Java, Python)
• Knowledge or the interest to learn parallel programming such as MPI, OpenMP, and/or threads
• Experience with mathematical modeling techniques (e.g., linear and integer programming, statistical modeling, system dynamics modeling)

About Our Team

The Computer Science Research Institute (CSRI) at Sandia creates technology and solutions for many of our nation's most demanding national security challenges. The Institute's 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 systems; and support research in discrete mathematics, data analytics, and decision support. The CSRI enterprise is closely tied to the laboratories' broader set of missions and strategies. Application areas include nuclear weapons, climate security, alternative energy technologies, and improvements to the power grid. We also serve as stewards of important capabilities for the nation in high-strain-rate physics, scientific visualization, mesh generation, and computational materials. We maintain world-class research programs in computational and discrete mathematics, computer science, scalable algorithms, and large-scale high performance computer systems. The CSRI is an exciting and highly multidisciplinary research environment. CSRI interns have access to Sandia's state-of-the-art parallel-computing environment including numerous large-scale clusters, visualization servers, and other specialized computing systems.

About Sandia

Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation.

Pre-employment Requirements

• Sandia will conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications.
• Employees in New Mexico need to pass a U.S. Air Force background screen for access to Kirtland Air Force Base.
• Under federal law, citizens and agents of the People's Republic of China, the Islamic Republic of Iran, the Democratic People's Republic of North Korea, and the Russian Federation are generally prohibited from accessing Sandia National Laboratories. Accordingly, such individuals will not be considered for employment unless they are also a citizen of the United States.
• If hired without a clearance and it subsequently becomes necessary to obtain and maintain one for the position, or you bid on positions that require a clearance, a pre-processing background review may be conducted prior to a required federal background investigation. Applicants for a DOE security clearance need to be U.S. citizens.
• Members of the workforce (MOWs) hired at Sandia who require uncleared access for greater than 179 days during their employment, are required to go through the Uncleared Personal Identity Verification (UPIV) process.