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 graduate students looking for a challenging internship. As a CAI graduate 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 Graduate Student (GRA) Program offers paid summer and year-round internships for graduate students in a variety of Computer Science, Mathematics, and Statistics projects. The GRA program provides mentoring, hands-on technical experience, and professional development opportunities through a normalized work plan complementing the student's chosen area of study. You will work closely with one of four groups within the CAI Division. - 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 graduate degree program in any Computer Science or Mathematics (or related) discipline. - Must be enrolled in at least 6 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). **Desired Qualifications:** - Computer programming (Python,