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National Security Internship Program (NSIP)


Perhaps the most appealing benefit of becoming a NSIP intern is the opportunity to pursue an exciting career in an innovative atmosphere of discovery. In addition to the unique opportunity to work at a cutting-edge national research and development laboratory, interns receive a competitive salary, and potentially, tuition reimbursement. We are looking for ambitious, high-caliber undergraduate or graduate-level college students for intern assignments. Potential applicants should be pursuing a STEM-related degree.  
To apply please bundle all documents into one PDF file for upload; the system will only accept one file. Include resume or CV, unofficial transcript for all current and past degrees, and a 300 word essay (see job posting/requisition for the topic). If any of the components are missing and not uploaded in one-single PDF file, your application will be considered incomplete and will not considered. This will require you to create a new applicant profile and apply again to be considered.
Submit a separate application for each position that you want to apply for.
Current Openings:
Many of the NSIP postings close March 4, 2017. Please check individual postings, as the deadline may have been extended.
Students must: 
  • be in active status and in good standing in an undergraduate, graduate, or post graduate program within an accredited college or university.
  • have a minimum grade point average of 3.3 (on a 4.0 scale) or better, or proven ability to contribute to PNNL projects, is desired.
  • be enrolled in a course of study focused in STEM disciplines. 
  • be able to accept a 10 week minimum summer internship and may include the option to continue working part-time during the academic year.
Internships are renewable, subject to satisfactory academic and research performance.
Women and minorities are encouraged to apply for NSIP assignments.

Computational & Statistical Analysis

Operating on the data-to-knowledge continuum, Computational & Statistical Analytics Division staff distill large, fast, distributed, and messy data into knowledge to support decision processes. We apply expertise in data engineering, semantic and human language technologies, machine learning, data architectures, systems integration, and software development to create advanced computational solutions that address our nation's complex data and analytic challenges. We develop theory, methods, algorithms, and tools to enable stronger, more resilient technologies and systems and equip cyber defenders to test and evaluate technology, detect and repair vulnerabilities, monitor and isolate adversaries, and predict and prevent cyber-attacks. Learn more about opportunities in this Division here.

Signatures Science and Technology Division

The Signatures Science and Technology Division focuses on advancing foundations in nuclear engineering, analytical chemistry, microbiology, nuclear physics, applied physics, and radiochemistry to deliver technical solutions and analysis to some of the nation's most pressing problems related to the detection of production, testing, trafficking, and use of weapons of mass destruction (CBRNE). Projects span from basic science investigations to development of applied laboratory procedures to deployable systems capable of field collection and analysis. World class analytical instrumentation, systems engineering, and state-of-the-art laboratories support our missions.

Systems Engineering and Integration Division

The Systems Engineering and Integration Division applies a diverse set of science and engineering capabilities and resources to both small- and large-scale programs in domestic and international locations. The Division leverages technical expertise, systems engineering expertise, and project management excellence to solve the nation's most challenging and complex problems. This Division is also responsible for development and leadership of the Laboratory's systems engineering strategy and stewardship of the Laboratory's engineering core capability.

Tuition reimbursement may be awarded upon completion and evaluation of the intern's summer assignment with Pacific Northwest National Laboratory.
Marisela Linares-Mendoza
Shauna Rodriguez