Undergraduate Intern - Applied Mathematics Research
Pacific Northwest National Laboratory - St Paul, MN
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Overview Join us at a leading research laboratory committed to tackling the most pressing scientific challenges of our time! We value collaboration, innovative thinking, and dedication, and are on the lookout for talented individuals to contribute to our mission. The Advanced Computing, Mathematics, and Data Division (ACMDD) is a dynamic environment where you can immerse yourself in applied mathematics and computational research, particularly if you have an interest in machine learning. Responsibilities Develop and implement data-driven and physics-informed machine learning algorithms to solve complex scientific problems. Utilize numerical solvers for ordinary and partial differential equations (ODEs and PDEs). Engage in high-performance computing on GPU and CPU architectures. Collaborate with multidisciplinary teams to support ongoing research projects and share valuable insights. This internship is perfect for enthusiastic students eager to apply their mathematical skills to real-world scientific issues. Qualifications Minimum Qualifications: A high school diploma or GED is required. Must be a degree-seeking undergraduate student enrolled at an accredited college or university. Enrollment in at least 6 credit hours with a minimum cumulative GPA of 2.5 is essential. Preferred Qualifications: Currently pursuing an undergraduate degree in Applied Mathematics, Computational Mathematics, or a related field. Experience or coursework in applied mathematics and artificial intelligence/machine learning (AI/ML). About Us We are committed to fostering an inclusive work environment where everyone is treated with respect and equality. Our laboratory, known for its supportive culture, offers excellent benefits including health insurance and flexible work schedules. Join us in eastern Washington, an area celebrated for its outdoor recreation and affordability. The facility is conveniently located near major hubs for easy access. Equal Employment Opportunity We are an Equal Opportunity Employer and consider all applicants without regard to race, religion, color, sex, national origin, age, disability, genetic information, or any other protected status.
Created: 2026-03-05