Computing & Analytics National Security Masters Intern (NSIP)
PNNL is seeking graduate 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 for energy. Positions are available in Richland, WA and Seattle, WA, based on business need.
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
· 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*
Must complete all sections.
When prompted to “Upload Resume” all documents listed below must be bundle into ONE-SINGLE PDF for upload:
1) Resume or CV
2) Unofficial transcript for all current and past degrees
3) 300-word essay describing how your specific interests pertain to one of the focus areas listed above.
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 are accepted during October through February time-frame. The deadline to apply is 11:59:59 pm PST on closing date.