Post Bachelors Research Associate - Applied Mathematics

Pacific Northwest National Laboratory • UNAVAILABLE, UNAVAILABLE

2d • Onsite

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.

Requirements

• Candidates must have received a Bachelor’s degree within the past 24 months or within the next 8 months from an accredited college or university.

Nice To Haves

• Bachelor's degree in applied mathematics with experience in scientific machine learning.
• Internship experience at a national laboratory.

Responsibilities

• Contribute to PNNL’s goals in modeling and simulation of complex systems as part of the Laboratory’s Computational Mathematics Group of the Advanced Computing, Mathematics, and Data Division (ACMDD).
• Develop scientific machine learning algorithms for modeling complex systems, especially involving systems of ordinary and partial differential equations.
• Interact, communicate, and solve problems with a diverse team of applied mathematics, computational science, and experimental research staff within the ACMDD group and across PNNL.
• Publish your results in high-quality, peer-reviewed journals.
• Present your research at technical conferences and project and program review meetings.

Benefits

• health insurance
• flexible work schedules
• medical insurance
• dental insurance
• vision insurance
• robust telehealth care options
• several mental health benefits
• free wellness coaching
• health savings account
• flexible spending accounts
• basic life insurance
• disability insurance
• employee assistance program
• business travel insurance
• tuition assistance
• relocation
• backup childcare
• legal benefits
• supplemental parental bonding leave
• surrogacy and adoption assistance
• fertility support
• company-funded pension plan
• 401 (k) savings plan with company match
• 120 vacation hours per year
• ten paid holidays per year

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level