Undergraduate Intern - Applied Mathematics

Pacific Northwest National Laboratory

11h•Onsite

About The Position

The Physical and Computational Sciences Directorate's (PCSD’s) strengths in experimental, computational, and theoretical chemistry and materials science, together with our advanced computing, applied mathematics and data science capabilities, are central to the discovery mission we embrace at PNNL. But our most important resource is our people—experts across the range of scientific disciplines who team together to take on the biggest scientific challenges of our time. The Advanced Computing, Mathematics, and Data Division (ACMDD) focuses on basic and applied computing research encompassing artificial intelligence, applied mathematics, computing technologies, and data and computational engineering. Our scientists and engineers apply end-to-end co-design principles to advance future energy-efficient computing systems and design the next generation of algorithms to analyze, model, understand, and control the behavior of the behavior of complex systems in science, energy, and national security.

Requirements

Candidates must have a high school diploma /GED or higher
Candidates must be degree-seeking undergraduate students enrolled at an accredited college or university
Candidates must be taking at least 6 credit hours and have an overall cumulative GPA of 2.5

Nice To Haves

Pursuing an undergraduate degree in Mathematics, Applied Mathematics, Computational Mathematics, or related degree.
Experience in graph theory, combinatorial programming, randomized algorithms.
Experience writing results for the broader mathematical community.

Responsibilities

Develop and apply randomized algorithms to scientific problems.
Work with standard software packages for graphs and hypergraphs.
Collaborate with internal research staff to support ongoing projects and share insights.