Computing and Analytics - National Security Undergraduate Intern
PNNL is seeking undergraduate students for assignments within the National Security Internship Program (NSIP). The Computing and Analytics Division is looking for individuals who have a passion for solving critical national challenges using advanced computational, statistical, and mathematical techniques. The intern will be given an opportunity to be presented with complex problems in national security, energy, and science; apply cutting-edge research to make our nation safer and stronger; develop complex computer code; develop and participate in cyber competitions; design new visualization; work with big data, and optimize solutions in diverse domains.
Positions are available in Richland, WA and Seattle, WA, based on business need. Positions may also be performed remotely or on campus at PNNL based on business need.
This internship can accommodate general internships as appropriate and co-op duration opportunities.
Participants will be starting in cohort sessions and must be available to start in September (Fall cohort) or January (Winter/Spring cohort).
Diverse Focus Areas: Your internship can be in one of six technical groups.
- Applied Statistics & Computational Modeling: Employ powerful tools and techniques, such as mathematical modeling and computational statistics, graph and game theory, network science, and uncertainty quantification to solve complex problems in a variety of domains.
- Disciplines: Applied Mathematics, Machine Learning, Statistics, Operations Research
- Cyber Security: Deliver first-of-a-kind solutions ranging from network and software development to embedded systems to protect our nation’s critical strategic assets.Develop cyber technologies and processes that have direct impact on our national security and scientific missions.
- Disciplines: Cyber Security, Computer Science
- Data Sciences & Analytics: Operate on the data-to-knowledge continuum distilling large, fast, distributed, and messy data into knowledge to support decision processes.
- Disciplines: Applied Machine Learning, Data Architectures, Data Engineering, Data Science, Deep Learning, Geoinformatics, Applied, Mathematics
- Operations & Analysis: Use a multitude of information sources to identify threats to critical networks and systems, creating tools that help us become more efficient at identifying those threats.
- Disciplines: Cyber Security, Computer Science, Information Management
- Software Engineering & Architectures: Develop and deliver well-architected software-centric systems and deploy sustainable software and hardware systems used in high-impact production environments.
- Disciplines: Mobile Application Development, Software Engineering, Software Testing
- Visual Analytics: Combine innovative interactive visualizations with advanced automated data analysis techniques to enable users to gain deeper insights from their data.Make complex data useful through skillful visual design, compelling human computer interaction, sound analytic methods, and solid engineering.
- Disciplines: Data Science, Human-Computer Interaction, Information Visualization, User Experience, Virtual/Augmented Reality
To learn more:
*HOW TO APPLY*
In order to have a complete application package, the three (3) listed items below are required and must be uploaded correctly per the below instructions:
Combine the below into one (1) PDF document
1) Resume or CV
2) Current unofficial transcript, cumulative GPA must be listed
3) 300-word essay describing how your specific interests pertain to one of the focus areas listed above, such as personal projects, hobbies outside of class, or any other activity to help you gain extra experience in your field beyond textbook knowledge. Also, include which cohort you are interested/available for: September or January.
* When prompted to “Upload Resume” all documents listed above must be bundled into ONE-SINGLE PDF for resume upload.
If any one of the 3 components are not included and/or not uploaded in one-single PDF file, application will be rejected and will no longer be considered. Electronic applications will be accepted until 11:59 p.m. (PST) on the posting close date.
Candidates must be degree-seeking students enrolled at an accredited college or university. Candidates must be taking at least 6 credit hours and have an overall GPA of 3.3.
Some projects may require U.S. citizenship.