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Intern - Artificial Intelligence & Data AnalyticsPacific Northwest National Laboratory • United States
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Intern - Artificial Intelligence & Data Analytics

Pacific Northwest National Laboratory
  • US
    United States
  • US
    United States
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À propos

Overview At PNNL, we are committed to advancing scientific research and developing innovative solutions in critical areas. Our organization encompasses various specialized divisions dedicated to impactful research and operational excellence. The AI and Data Analytics (AIDA) Division, part of the National Security Directorate, leverages cutting-edge computational methods and interdisciplinary strategies to address complex data challenges. By collaborating within diverse teams, we connect foundational research with practical engineering, ensuring rapid and effective outcomes. If you’re a passionate and qualified candidate seeking an exciting opportunity, we encourage you to apply! Responsibilities We are looking for motivated Master's students to join the National Security Internship Program (NSIP) in our AIDA Division. Here, you will engage in meaningful work that tackles national challenges in security, energy, and the environment. As an intern, you will have the chance to: Apply advanced computational, statistical, and mathematical techniques to address complex problems. Develop innovative coding solutions to enhance data analysis. Participate in stimulating cyber competitions. Design compelling data visualizations to communicate insights. Work with big data while optimizing solutions across various domains. Internships are set to commence in May or June 2026, providing a collaborative cohort experience. Diverse Focus Areas:
As an intern, you can specialize in one of six technical groups: Math, Stats, and Data Science:
Engage in meaningful mathematical modeling and computational statistics to solve real-world challenges. Applied AI Systems:
Develop robust models that translate complex data into actionable insights within operational contexts. Foundational Data Science:
Create new algorithms and tools for understanding and utilizing large datasets. Software Engineering & Architectures:
Construct scalable cloud-based solutions for extensive data analysis and operational support. Human Centered Computing:
Innovate with visualizations and interactions to provide deeper insights from data. Operational Readiness & Enablement:
Ensure delivery of high-quality solutions by adhering to best software development practices. Positions are based in Richland or Seattle, WA. Work will primarily be on-site, with remote arrangements considered only in rare circumstances. How to Apply To complete your application, please upload the following documents: Resume:
Submit your resume in the provided section. Cover Letter:
Upload a cover letter that outlines your interest, relevant coursework, and experiences that prepare you for this role. Please ensure all documents are submitted as instructed before the deadline, as incomplete applications will be rejected. Qualifications Minimum Qualifications: Candidates must be enrolled in a Master's program at an accredited institution. A minimum GPA of 3.3 is required. Preferred Qualifications: Relevant disciplines include Mathematics, Statistics, Data Science, Computer Science, and related fields. Additional Information This position requires U.S. Citizenship due to access to sensitive information and systems. PNNL follows the Department of Energy's regulations regarding employment eligibility and security clearance processes. About PNNL At PNNL, you will join a dynamic team committed to scientific excellence and innovation. Our emphasis on diversity and inclusion enables us to address critical challenges in science and energy. Located in eastern Washington, PNNL is surrounded by stunning outdoor recreation opportunities and offers a competitive benefits package. Equal Opportunity Employer PNNL is dedicated to a diverse workforce and provides equal employment opportunities to all applicants without regard to race, color, sex, national origin, disability, or veteran status.
  • United States

Compétences linguistiques

  • English
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