Pacific Northwest National Laboratory · 19 hours ago
PhD Intern – Data Science
United States
Internship
Remote
Intern
$24.04/hr - $36.06/hrPacific Northwest National Laboratory (PNNL) is a world-class research institution committed to scientific innovation. They are seeking a PhD intern focused on foundational graph models and scientific machine learning, contributing to the design and development of advanced algorithms and collaborating with a multi-disciplinary technical team.
Biomass EnergyEnergyGovernmentProduct ResearchSecurity
No H1B
U.S. Citizen Only
Responsibilities
PNNL is seeking a PhD intern with a focus on foundational graph models, graph representation learning, graph neural networks, knowledge graph construction and semantic search, scientific machine learning, and applications to electronic design automation and cybersecurity
The candidate should have experience with or interest in scientific software development and management of scientific data in accordance with the FAIR principles
The emphasis will be given to the design and development of graph neural networks, large language models, or applications in science
The successful candidates are also expected to help summarize the technical findings and contribute to peer-reviewed publications
The successful candidates will be collaborating on a multi-disciplinary technical team and must have strong communication and interpersonal skills
Qualification
Required
Candidates must be currently enrolled/matriculated in a PhD program at an accredited college
Minimum GPA of 3.0 is required
Preferred
Undergraduate degree in Computer Science, Applied Mathematics, Data Science, or closely related fields
Background in basic and applied energy sciences (e.g., computational physics, or computational chemistry, power systems)
Strong skills in selected areas of applied mathematics (e.g., analysis, linear algebra, machine learning, graph theory, topology, operator theory)
Proficiency in Python language and data science packages (e.g., Numpy, Pandas, SciPy, Matplotlib)
Proficiency with software version control systems (e.g., Git)
Proficiency in modern machine learning libraries (e.g., Pytorch or Tensorflow)
Proficiency in graph databases (e.g., Neo4j)
Experience with modern deep learning methods (e.g., graph neural networks, foundation models, large language models)
Publication record in scientific conferences such as NeurIPS, ICML, ICLR, AAAI
Benefits
Health insurance
Flexible work schedules
Employee assistance program
Business travel insurance
Company funded pension plan
401k savings plan
Company
Pacific Northwest National Laboratory
Pacific Northwest National Laboratory operates as a government research laboratory.
Founded in 1965
5001-10000 employees
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
US Department of Energy
2022-07-14Grant
2018-07-16Grant
Leadership Team
Allison Campbell
Associate Laboratory Director for Earth and Biological Sciences
Deborah Gracio
Laboratory Director
Recent News
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
2026-01-11
Pacific Northwest National Laboratory
2026-01-03
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