Location: Los Alamos, NM
Cap-Exempt H-1B Position — No lottery required
**What You Will Do** **Come join the brightest minds at the most innovative R&D facility supporting our national security! The Computing and Artificial Intelligence (CAI) Division is seeking undergraduate students (UGS) looking for a challenging internship.** **As a CAI UGS student, we will provide you with a mentor, a challenging project, and an opportunity to present your work and progress to colleagues. The projects will vary depending on your skills and interests and the Laboratory's** **current needs. The CAI UGS program offers paid summer and year-round internships for undergraduate students in a variety of Computer Science, Mathematics, and Statistics projects.** - Computational Physics and Methods conduct research in numerical methods and algorithms, physical model development, and software engineering. - Information Sciences engages in a wide variety of basic and applied research activities that are directly applicable to core needs. - Statistics provides statistical reasoning and rigor to multidisciplinary scientific investigation and the development, application, and communication of cutting-edge statistical sciences research. - Applied Computer Science is to be the vanguard for scientific simulations at extreme scale through the co-design of applications, algorithms, and architectures. **What You Need** Minimum Job Requirements: - Currently enrolled in an accredited undergraduate degree program in any Computer Science or Mathematics (or related) discipline. - Must be enrolled in at least 12 semester credit hours (or full-time equivalent). - Must currently have and maintain a cumulative GPA of at least 3.0 on a 4.0 scale (or equivalent). Education/Experience: Undergraduate Currently enrolled (12 semester credit hours or full-time equivalent) in an accredited undergraduate degree-granting program (or international equivalent)Must have and maintain a cumulative GPA of at least 2.75 on a 4.0 scale (or equivalent). Entering first-year students must provide do