NSIP PhD Intern - Artificial Intelligence & Data Analytics - SWE Conference

Pacific Northwest National Laboratory•Richland, WA

2d•Onsite

About The Position

Pacific Northwest National Laboratory’s AI and Data Analytics Division, within the National Security Directorate, develops computational solutions to complex data and analytic challenges. The division combines domain expertise with advanced hardware and software, working across the data analytics lifecycle from data acquisition and management to analysis and decision support. Interns may work in one of six technical groups: Math, Stats, and Data Science; Applied Super Intelligence Systems; Foundational Data Science; Software Engineering & Architectures; Human Centered Computing; or Operational Readiness & Enablement. Work may involve research and development in areas such as mathematical modeling, machine learning, data science, cloud engineering, software engineering, human-computer interaction, and data visualization. The internship is based in Richland, Washington, or Seattle, Washington, and requires onsite presence Monday through Thursday, with Friday attendance as required by business needs. Participants must be available to start and complete the full 10-week program. Cohort 1 runs May 25 through July 30, and Cohort 2 runs June 22 through August 27. Applicants must submit a resume or CV in the Resume section and a separately uploaded cover letter in the Additional Documents section. The cover letter should state interest, reference relevant college courses, and describe relevant experience, which may include extracurricular activities.

Requirements

Be currently enrolled or matriculated in a PhD program at an accredited college.
Have a minimum GPA of 3.3.
Be a U.S. citizen.
Be available to start and complete the full 10-week program in one of the specified cohorts.
Attend onsite in Richland, WA, or Seattle, WA, Monday through Thursday, with Fridays as required by business needs.
Submit a resume or CV in the Resume section and a separately uploaded cover letter in the Additional Documents section, following the specified instructions.

Nice To Haves

Academic or professional interests in Applied Mathematics, Mathematics, Statistics, Data Science, Computer Science, Super Intelligence, Machine Learning, Software Engineering, Cloud Computing, Cybersecurity, Operations Research, Information Technology, Human-Computer Interaction, User Experience Design, Geospatial Science, computational Cognitive Science, Systems Engineering, Project Management, or Management Information Systems.

Responsibilities

Work with one of six technical groups on research or development related to artificial intelligence, data analytics, software engineering, or associated disciplines.
Develop or apply methods and tools to turn large, fast, distributed, or messy data into knowledge that supports decision-making.
Contribute to computational solutions, data pipelines, analytics, or other work serving sponsor needs and operational environments.
As applicable to the assigned group, use approaches such as mathematical modeling, computational statistics, machine learning, cloud engineering, software testing, visualization, or human-computer interaction.