Overview

　　NOTE: Several documents are strictly required to submit with the application to be eligible for this position. Please read the entire job posting for detailed instructions.

　　Protecting U.S. residents and visitors is among our nation’s highest priorities. As adversaries gain access to sophisticated technologies and materials, the threats grow more dynamic and complex—from cyber and nuclear to chemical and biological weapons of mass effect and other forms of terrorism. The PNNL national security mission employs our researchers, tools, and technologies to play a key role in advancing the ability to identify and secure nuclear materials, detect weapons of mass effect, manage nonproliferation treaties, secure our nation's borders, and protect critical infrastructures. PNNL’s scientific discovery and capabilities—rooted in innovative theory, methods, algorithms, and tools—are enabling stronger, more resilient technologies and systems to safeguard national security. Coupled with decades of radiological and nuclear materials expertise, advanced computing and threat analysis capabilities, and a broad fundamental science base, we are identifying and countering emerging threats that have significant impact at home and around the globe.

　　To learn more:

　　http://workbasedlearning.pnnl.gov/default.aspx?topic=National_Security_Internship_Program_(NSIP)

　　http://www.pnnl.gov/nationalsecurity/technical/capabilities/computing/

　　https://www.youtube.com/watch?v=Mz2UPYcl_uI

　　Responsibilities

　　PNNL is seeking graduate students for assignments within the National Security Internship Program (NSIP). The AI and Data 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, Seattle, WA, and Sequim, WA based on business need. Positions may also be performed remotely or on campus at PNNL based on business need. Due to the timing and duration of summer internships, typically 10-12 weeks, we expect most positions to start as cohorts in May or June 2024 and no later than July 2024.

　　Diverse Focus Areas: Your internship can be in one of five technical groups.

　　Math, Stats, and Data Science : Working together in multidisciplinary teams we leverage techniques from mathematics, statistics, and optimization to tackle complex, data-centered problems in national security. From modeling data and relationships to risk modeling, we do it all by employing powerful tools and techniques.Disciplines: Applied Mathematics, Machine Learning, Statistics, Operations ResearchApplied AI Systems : We develop hardened and robust models to distill large, fast, distributed, and messy data into knowledge to support decision processes in operational environments on sponsor systems.Disciplines: Artificial Intelligence, Applied Machine Learning, Data Science, Deep Learning, Computer Vision, Geospatial Intelligence, and Natural Language ProcessingFoundational Data Science : We conceptualize and develop fundamentally new algorithms and tools to address unresolved challenges in distilling large, fast, distributed, and messy data into knowledge to support sponsors’ decision processes.Disciplines: Artificial Intelligence, Applied Machine Learning, Data Science, Deep Learning, Computer Vision, Geospatial Intelligence, and Natural Language ProcessingSoftware Engineering & Architectures : We develop high-quality, scalable, cloud-first solutions for tackling large data pipelines and analytics that are delivered to operational sponsor environments. We use industry best practices for professional software development using Agile development practices, code reviews, automated testing, and CI/CD pipelines.Disciplines: Cloud Engineering, Large-Scale Data Engineering, Scalable Machine Learning/Artificial Intelligence, DevSecOps, Automated Testing, Software EngineeringHuman Centered Computing : We 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, User Experience, Software Engineering, Natural Language Processing, Graph Analytics and Data Visualization*HOW TO APPLY*

　　To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration:

　　Step 1: Upload Resume or CV in “Resume” section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to).

　　Step 2: Upload a Cover Letter separately in “Additional Documents” section of the application titled “AIDA – Summer 2024 NSIP Cover Letter”.

　　Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career. Please also select which group(s) aligns most with your interests.If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 5:00 p.m. (PST) on the posting close date.

　　Qualifications

　　Minimum Qualifications:

　　Candidates must be currently enrolled/matriculated in a PhD program at an accredited college.

　　Minimum GPA of 3.30 is required.

　　Hazardous Working Conditions/Environment

　　Not applicable.

　　Additional Information

　　Candidates must have the ability to obtain and maintain a future security clearance which requires U.S. citizenship.

　　Testing Designated Position

　　This is not a Testing Designated Position (TDP).

　　About PNNL

　　Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!

　　At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or 3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.

　　Commitment to Excellence, Diversity, Equity, Inclusion, and Equal Employment Opportunity

　　Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment.

　　Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.

　　We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at [email protected] .

　　Drug Free Workplace

　　PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.

　　HSPD-12 PIV Credential Requirement

　　In accordance with Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

　　Mandatory Requirements

　　Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.

　　Rockstar Rewards

　　Regular Hourly:

　　Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met.

　　Temporary Hourly:

　　Employees are offered an employee assistance program and business travel insurance.

　　Click Here For Rockstar Rewards (https://careers.pnnl.gov/rockstar-rewards)