Post Doctorate Research Associate, Complex Data Models

Post Doctorate Research Associate, Complex Data Models

At Pacific Northwest National Laboratory (PNNL), the National Security Directorate (NSD) seeks a Post Doctorate Research Associate focused on Complex Data Models. This role is within the AI and Data Analytics Division, which integrates advanced hardware and software to deliver computational solutions for intricate data challenges.

About the National Security Directorate

The National Security Directorate at PNNL is dedicated to providing science-based, mission-focused solutions for critical national and global threats. The AI and Data Analytics Division specifically leverages deep domain expertise and innovative computational approaches to tackle complex data and analytical problems.

Responsibilities

• Develop and apply advanced mathematics and machine learning techniques to national security research challenges.
• Integrate mathematical concepts such as computational topology, representation theory, geometry, applied category theory, graph and hypergraph theory with machine learning to analyze complex systems, including AI-based systems.
• Create methods for analyzing complex data systems (e.g., knowledge graphs, semantic databases, authorization systems) by combining computational topology, applied category theory, graph and hypergraph theory with machine learning.
• Clearly communicate impactful research findings through technical documents, verbal presentations, and discussions to diverse technical and non-technical audiences.

Minimum Qualifications

• PhD received within the past five years (60 months) or to be received within the next 8 months from an accredited institution.

Preferred Qualifications

• A degree in Mathematics, Computer Science, or a closely related field.
• A strong background in mathematics, evidenced by publications utilizing topology, algebra, geometry, or category theory.
• Proficiency in Python programming.
• Experience with knowledge graphs and other complex systems data.
• Familiarity with the science of deep learning or mechanistic interpretability.

Additional Information & Requirements

This position requires the ability to obtain and maintain a federal security clearance, which involves a comprehensive background investigation including employment, education, financial, and criminal history. Applicants must be U.S. Citizens and will be subject to pre-employment and random drug testing, with a strict policy against illegal drug use, including marijuana, for the 12 months prior to the QNSP completion.

PNNL is committed to a diverse and inclusive workplace and offers excellent benefits, including health insurance, flexible work schedules, and a competitive salary structure based on skills and experience, not prior salary history.

Key skills/competency

• Computational Topology
• Machine Learning
• Graph Theory
• Category Theory
• Deep Learning
• Python Programming
• Knowledge Graphs
• Data Analytics
• National Security
• Algorithm Development