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Undergraduate Tech Intern - AI & Data Analytics (NSIP) at Pacific Northwest National Laboratory

Undergraduate Tech Intern - AI & Data Analytics (NSIP)

Pacific Northwest National Laboratory Santa Fe, NM Full-Time
**Overview**

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.

**Responsibilities**

PNNL is seeking undergraduate 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 and Seattle, WA, based on business need. Positions may also be performed remotely or on campus at PNNL based on business need.

Participants will be starting in cohort sessions and must be available to start in May or June 2023 [Summer cohort].

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

1. Math, Stats, and Data Science: We 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

2. Applied 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 Processing

3. Foundational 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 Processing

4. Software 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 Engineering

5. Human 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

To learn more:

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******HOW TO APPLY******

To have a complete application package, the three (3) listed items below are required and must be uploaded correctly per the steps below:

Step 1: Upload Resume or CV in "Resume" section only (note: if applying to multiple positions, the resume uploaded will be the resume used for all positions an applicant applies towards)

Step 2: Combine the two (2) below requested documents into one (1) PDF document and name this file AIDA - Summer NSIP. This combined document must be uploaded into the "Additional Documents" section.

1) Current unofficial transcript, cumulative GPA must be listed

2) 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.

If any one of the 3 components are not uploaded per the instructions listed, applications 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.

**Qualifications**

Minimum Qualifications:

+ Candidates must be degree-seeking undergraduate students enrolled at an accredited college or university.

+ Candidates must be taking at least 6 credit hours and have an overall cumulative GPA of 3.30.

**Hazardous Working Conditions/Environment**

Not applicable.

**Additional Information**

Candidates must be able to obtain and maintain a future security clearance which requires U.S. citizenship.

**Testing Designated Position**

This is not a Testing Designated Position.

**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 address blocked ] - Click here to apply to Undergraduate Tech Intern - AI & Data Analytics (NSIP) .

**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.

**Mandatory Requirements**

Battelle requires employees to have a COVID-19 vaccine as a condition of employment, subject to accommodation. Applicants are required to disclose their vaccination status following a conditional offer of employment and must attest to being fully vaccinated with a Center for Disease Control (CDC)-approved COVID-19 vaccination, or provide documentation of need for medical or religious exemption from the COVID-19 vaccination requirement.

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.

Recommended Skills

  • Agile Methodology
  • Algorithms
  • Analytical
  • Artificial Intelligence
  • Big Data
  • Biology
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