Student Internship

NIWC - Undergraduate Student - Port Contamination Project (Task No. 71-342609) Req No: 2026-20513 Category: Other Type: Student Salary: 19.28 Hourly Rate: $17.75 for Undergraduate II, $19.67 for Undergraduate III (non‑negotiable). Position Status: Open until filled. Overview Under direction, incumbents must have coursework in the discipline requested in the task order Statement of Work. The Statement of Work covers the need for student services to assist with the development of a machine learning pipeline for evaluating water quality. Tasks may include preparing satellite, buoy, and industrial/municipal spatiotemporal data for analysis; performing exploratory data analysis; creating data dictionaries, reports, and slides; and assisting with coding of deep learning models and other pipeline production requirements. This work supports water contaminant research at Naval Information Warfare Center, Pacific (NIWC PAC). The pipeline is part of a larger effort to help Navy commanders assess environmental risks and make operational decisions regarding exposure to hazards. The student will primarily be involved in data science tasks such as preparing datasets, coding analyses, and writing reports. No human or animal testing is expected with this effort. Responsibilities Prepare satellite, buoy, and industrial/municipal spatiotemporal data for analysis. Perform exploratory data analysis and generate data visualizations. Create data dictionaries, reports of analyses, and slide decks of results. Assist with coding and testing/debugging of a machine learning pipeline. Submit monthly status reports and bi‑weekly time reports in accordance with the base contract CDRL. Conduct relevant literature searches pertaining to the acceptance and execution of Model Based Systems Engineering (MBSE) practices. Qualifications Undergraduate Student 2: Student must be at the Junior or Senior level and have experience in 50% of the task requirements and be able to accomplish 50% of the work independently. Not required to be an SDSU Student. Undergraduate Student 3: Must have coursework in the discipline requested on the task order Statement of Work. Student must be at the Senior level and have experience in 100% of the task requirements and be able to accomplish 90% of the work independently. Not required to be an SDSU Student. Minimum Qualifications Undergraduate Level 2-3 (Sophomore to Senior): Mathematics and/or Computer Science major preferred; relevant majors such as Biology, Chemistry, or Physics may be suitable given relevant coursework and/or work experience. Required Coursework and/or Experience Introduction to Chemistry, Biology, or equivalent Computer Science and Object‑Oriented Programming or equivalent Probability and Statistics or equivalent Desired Coursework and/or Experience Introduction to Environmental Science, Oceanography, or equivalent Data Structures, Design and Analysis of Algorithms, or equivalent Computer Vision, Deep Learning, or equivalent Additional Desired Qualifications Python programming experience. Experience with CNNs or machine learning. Experience with GIS software. Independent/self‑starter who can operate under minimal oversight. Additional Applicant Information This position requires obtaining and maintaining a DoD Secret security clearance. The student will work in a hybrid format; most work conducted virtually via Routine Telework, but may need to work at NIWC Pacific Bayside upon request. Due to Department of Defense regulations, only U.S. Citizens may qualify. This is a student position limited to 20 hours per week. The position will remain open until filled. Candidate must reside in California and live within commutable distance from SDSU at time of hire. Job offer contingent upon satisfactory clearance based on background check results. Equal Opportunity Employer San Diego State University Research Foundation is an equal‑opportunity employer. Consistent with California law and federal civil rights laws, SDSU Research Foundation provides equal opportunity in employment without unlawful discrimination or preferential treatment based on race, sex, color, ethnicity, national origin or any other categories protected by federal or state law. Employment decisions are based on an individual's qualifications as they relate to the job under consideration. SDSU Research Foundation complies with Titles VI and VII of the Civil Rights Act of 1964, Title IX, the Americans with Disabilities Act (ADA), Section 504 of the Rehabilitation Act, the California Equity in Higher Education Act, California's Proposition 209, and other applicable state and federal anti‑discrimination laws. The Foundation maintains a nondiscrimination policy prohibiting discriminatory preferential treatment, segregation based on race or other protected status, and all forms of unlawful discrimination, harassment, and retaliation in all programs, policies, and practices. All employment decisions, including applicant screening, hiring, promotion, compensation, benefits, disciplinary actions, and terminations, are made on the basis of merit. Application To apply, visit the job posting website. #J-18808-Ljbffr