NIWC - Undergraduate III (Senior) - ORFALA Project (Task Order: 5505-24303)

This hourly rate for this position is $18.90 and is non-negotiable.

This Statement of Work covers the need for student services to develop software and computer-based solutions in
order to evaluate the impact of data processing on the uncertainty characterization of meteorological sensor
measurements and instrument ranges located at NIWC Pacific.

The ORFALA project will develop a Kalman filter software suite capable of processing meteorological data in realtime to improve data integrity in laser beam quality metrics such as Power In Bucket. The available filtering
methods will be adaptive, robust, and data-driven while benefitting from Continuous Integration / Continuous
Deployment best practices (version control, unit tests, and containerization). Accurate knowledge of the atmosphere is critical for High Energy Laser (HEL) applications (e.g., test events and threat mitigation). The ORFALA project provides a mechanism for reducing sensor-inherent errors such as missing data points, time-varying noise, and outliers. The goal is to provide the warfighter high quality data for an optimal decision strategy.

Responsibilities: 

The Undergraduate III will assist with:

The student contractor shall provide analytical and technical support in the following areas, as specified under individual task orders, to the work sponsor:

Software Engineering, Programming:

• Assist with design and development of software for characterizing error of meteorological sensor data
  collected at NIWC Pacific.
• Assist with incorporation of error characterization algorithm into existing software frameworks developed by Code 55280 at NIWC Pacific.
• Assist with software development best practices (DRY, unit tests, version control, style guides, and naming conventions).
• Assist with model and simulation to validate and interpret algorithm performance with respect to uncertainty characterization.

MINIMUM QUALIFICATIONS

• Undergraduate Level 3 or above: Computer Science and/or Applied Mathematics major preferred; relevant majors such as Data Science and Software Engineering may be suitable given relevant coursework and/or work experience.

Required Course Work:

• CS 210 Data Structures (or equivalent)
• CS 420 Advanced Programming Languages (or equivalent)
• CS 460 Algorithms (or equivalent)
• CS 503 Database Techniques (or equivalent)
• MATH 245 Discrete Mathematics (or equivalent)
• MATH 596 Mathematical Data Science (or equivalent)

DESIRED QUALIFICATIONS

• Python, Java, C#, JavaScript or web-development or software programming experience.
• Experience with GIT and version control.
• Ability to read and implement technical documents or test standards.
• Comfortable with working independently and in group settings.
• Flexible with learning new programming languages based on project’s needs.
• Knowledge in Docker/containers.
• Experience in deploying software.
• Ability to read and implement technical documents or test standards.
• Independent/self-starter who can operate under minimal oversight.
• Collaborative/team-player who can work well with groups.

ADDITIONAL APPLICANT INFORMATION:

• This position will require the employee to obtain and maintain a DoD Secret security clearance.
• Due to the regulations established by the Department of Defense, only US Citizens may qualify.
• This is a student position and is limited to working 20 hours per week
• This position will remain open until filled.
• Candidate must reside in California and live within a commutable distance to work site.
• San Diego State University Research Foundation is an EEO/AA/Disability/Vets/Title IX Employer.