Post Doctorate Research Associate - Mathematics

Overview

At Pacific Northwest National Laboratory (PNNL), our core capabilities are divided among major directorates that focus on specific areas of science including national security, earth and biological sciences, physical and computational sciences, and energy and environment. Our Physical and Computational Sciences Directorate is central to scientific discovery through experimental, computational, and theoretical research complemented by advanced computing and applied mathematics.

Responsibilities

As a Post Doctorate Research Associate - Mathematics, you will join the Computational Mathematics Group, renowned for its work in combinatorial algorithms, optimization, and data-driven methods. Your responsibilities include:

• Develop new approaches for analyzing massive graphs and hypergraphs.
• Apply probabilistic methods to design and analyze randomized algorithms.
• Design graph-based approaches for scientific machine learning.
• Develop and optimize high-performance numerical algorithms.
• Collaborate with a diverse team across scientific disciplines.
• Publish research results in peer-reviewed journals and present findings in conferences.
• Participate in research proposal development.

Qualifications

Minimum Qualifications include a PhD received within the past five years or soon to be received within the next 8 months. Preferred qualifications include a strong background in discrete mathematics, graph theory, probability, and experience in applying advanced graph methods and Graph Neural Networks.

Work Environment & Benefits

PNNL provides an exciting research environment with excellent benefits such as flexible work schedules, health insurance, and professional development opportunities. Located in eastern Washington State, the campus benefits from affordable living and proximity to major hubs like Seattle and Portland.

Additional Information

PNNL is an Equal Opportunity Employer committed to diversity and inclusion. Applicants will need to pass a drug test and, if applicable, a federal background investigation once offered employment.

Key skills/competency

• Combinatorial algorithms
• Graph theory
• Optimization
• Scientific computing
• Randomized algorithms
• Data science
• Machine learning
• Numerical methods
• Research publication
• Collaborative research