Masters Intern - Applied Mathematics

Pacific Northwest National Laboratory

2d

About The Position

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.
Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.
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 complex systems in science, energy, and national security.
The Pacific Northwest National Laboratory Computational Mathematics group is seeking candidates for a Masters Intern in Applied Mathematics. The Computational Mathematics Group has strong capabilities in multiscale mathematics, uncertainty quantification, parameter estimation, and data-driven methods. In addition to developing new computational methods, our group members collaborate closely with physical scientists and engineers in various disciplines such as Earth system modeling, materials science, energy storage and chemistry.

Requirements

• Candidates must be matriculated/enrolled in a Master's program at an accredited college or university.
• Minimum GPA of 3.0 is required.

Nice To Haves

• Background in Applied Mathematics including numerical analysis, ordinary and partial differential equations and if applicable, scientific machine learning.

Responsibilities

• Develop physics-based computational tools for modeling complex systems with multiple spatial/temporal scales.
• Develop algorithms for scientific machine learning.
• Interact, communicate, and solve problems with a diverse team of applied mathematics, computational science, and experimental research staff.

Benefits

• Employees are offered an employee assistance program and business travel insurance.
• Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met.

What This Job Offers

• Career Level: Intern