Post Doctorate Research Associate - Mathematics

Pacific Northwest National Laboratory • Richland, WA

8d • $69,000 - $119,100

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 Pacific Northwest National Laboratory Computational Mathematics group is seeking candidates for a Post Doctorate Research Associate (Mathematics). The Computational Mathematics Group has strong capabilities in combinatorial algorithms, optimization, and data-driven methods.

Requirements

• Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.

Nice To Haves

• Ph.D. in Mathematics, Computer Science, or a related field.
• Background in discrete mathematics, graph theory, or network science.
• Foundational background in probability and linear algebra, including the design of randomized algorithms.
• Experience applying advanced graph-theoretic methods to practical domain problems.
• Research or experience with Graph Neural Networks.
• Proven track record in preparing manuscript submissions to scientific journals.
• Proficiency in developing scientific software.

Responsibilities

• Develop new approaches for analyzing massive graphs, hypergraphs, and related combinatorial structures.
• Apply probabilistic methods to design and analyze randomized graph algorithms.
• Design graph approaches for scientific machine learning.
• Develop and optimize high-performance numerical algorithms for large-scale scientific computing.
• Interact, communicate, and solve problems with a diverse team of applied mathematics, computational science, and experimental research staff within the 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.
• Participate in the development of research proposals.

Benefits

• Employees and their families are offered medical insurance, dental insurance, vision insurance, health savings account, flexible spending accounts, basic life insurance, disability insurance, employee assistance program, business travel insurance, tuition assistance, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support.
• Employees are automatically enrolled in our company funded pension plan and may enroll in our 401k savings plan.
• Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees