SDSU Research Foundation

  • NURP Project on Navigation/Sensors (56-7015)

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  • Overview

    This Statement of Work covers the need for the services of graduate students to provide technical and/or analytical support in the fields of mechanical engineering, electrical engineering, and computer science related to their research and coursework for Naval Undersea Research Program (NURP).  The students will support the Center for Innovative Naval Technologies-Information Warfare (CINT-IW) Heterogeneous Autonomous Marine Mobile Expeditionary Robots (HAMMER) project.  The purpose of this project is to successfully integrate Unmanned Surface Vehicles (USVs), Unmanned Aerial Vehicles (UAVs), and Unmanned Underwater Vehicles (UUVs) for search, identify, and intervention missions at sea.  The students will focus on navigation sensors and algorithms and aiding in robotic experiments.


    Until recent developments in technology, the combination of USV, UAVs, and UUVs had only been visions for the future. Now, various research groups from around the world are making the connections needed for the successful implementation of this idea. The team plans on creating a successful combination of the Unmanned Systems (UxVs) for future missions at sea. The HAMMER project utilizes a Wave Adaptive Modular Vessel (WAM-V) catamaran USV as the central node and main transport mechanism to carry UAVs and UUVs to distances over 100 miles. The system is designed to be modular and can easily be scaled up if needed. 


    Computer Science and Information Systems support:

    • Writing, testing and documenting code for the sensor acquisition software.
    • Performing data conversion and coding, and/or data analysis and data reduction.
    • Writing, testing, and documenting software for sensor integration onto unmanned vehicles.
    • Writing software to use sensor data to control vehicles.
    • Writing software with machine learning and computer vision applications

    Engineering support:

    • Perform autonomous above and below water sensor data collection to work on fusion of the sensors to include: cameras, lidar, thermal cameras, and multi-beam sonar sensors.  
    • Perform image processing.
    • Perform state-of-the-art literature reviews to help assess new navigation and sensor fusion technologies
    • Perform at sea tests to assess the performance of navigation and control software


    • The student shall accompany Government personnel on travel to assist with a data collection exercise at a government flight range.


    Minimum Qualifications:


    • Grad Level 2: mechanical engineering or computer science or electrical engineering major (working on Master’s or PhD)

    Graduate Student 2: Can be a PhD candidate or in a Master's degree program and able to perform at a high level. Must be able to accomplish a minimum of 90% of the task without supervision.


    Required Course Work: 


    • Feedback control theory
    • Estimation Theory
    • Mathematical Analysis

    Additional Qualifications desired:



    • Experience with Open CV software and web applications and tools.
    • Experience with image processing, vision based navigation, collision avoidance algorithms
    • Experience with Python programming
    • Experience with ROS and/or MOOS
    • Ability to read technical papers
    • Experience with implementing control and estimation algorithms for robotic systems

    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
    San Diego State University Research Foundation is an EEO/AA/Disability/Vets Employer


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