Postdoctoral Researcher in Mathematics

Overview Join our dynamic team at PNNL, where we leverage scientific innovation to address critical challenges in National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. Our collaborative atmosphere fosters creativity and utilizes cutting-edge capabilities in mathematics, computational science, and data analysis. The Physical and Computational Sciences Directorate is dedicated to deepening our understanding through experimental, computational, and theoretical mathematics. We are proud of our diverse group of experts who collaborate to develop impactful solutions. Responsibilities The Computational Mathematics group is eager to invite applications for a Postdoctoral Researcher in Mathematics. In this role, you will: Innovate new methodologies for analyzing complex graphs, hypergraphs, and combinatorial structures. Utilize probabilistic techniques to design and evaluate randomized graph algorithms. Develop graph-based strategies that contribute to scientific machine learning initiatives. Enhance high-performance numerical algorithms suited for large-scale scientific computations. Collaborate with an interdisciplinary team of applied mathematicians, computational specialists, and experimental scientists at PNNL. Publish your findings in esteemed peer-reviewed journals. Present your research at conferences and project meetings to highlight your work. Engage in crafting research proposals to secure funding for new projects. Qualifications Minimum Qualifications: Must have obtained a PhD within the last five years or will receive one in the next eight months from an accredited institution. Preferred Qualifications: Doctorate in Mathematics, Computer Science, or a related field. Strong knowledge of discrete mathematics, graph theory, or network science. Solid background in probability and linear algebra, particularly related to randomized algorithms. Experience in applying advanced graph-theoretic methods to real-world challenges. Familiarity with Graph Neural Networks and their practical applications. Proven track record of preparing manuscripts for scientific journals successfully. Proficiency in developing scientific software solutions. About PNNL Pacific Northwest National Laboratory (PNNL) is a leading research institution, supported by a diverse and skilled workforce dedicated to integrity, collaboration, and achieving significant scientific advancements. We provide a vibrant research environment along with a comprehensive benefits package, which includes health insurance and flexible work schedules. Our campus is located in the beautiful eastern Washington State, just a short drive from the bustling cities of Seattle and Portland. Commitment to Excellence and Equal Employment Opportunity PNNL is committed to fostering a workplace where everyone is treated with dignity while addressing critical challenges in science and national security. We value diversity and welcome applications from individuals of all backgrounds. Drug Free Workplace PNNL maintains a drug-free workplace and adheres strictly to federal regulations regarding substance use. Compensation We offer competitive compensation, with salaries starting at USD $69,000.00 per year, reaching up to USD $119,100.00 per year, depending on relevant experience and qualifications.

Created: 2026-03-04