NIWC - Graduate Student - Shipboard Scene Understanding Detection and Identification of Objects (SSUDIO) Project (Task 56-1125079)
About The Position
This Statement of Work covers the need for graduate student services to provide technical and/or analytical support in the field of computer science and electrical engineering for a computer vision team, specifically for the Shipboard Scene Understanding Detection and Identification of Objects (SSUDIO) project. The purpose of this project is to develop scene understanding from 3D scans of ships by applying machine learning/computer vision techniques. Additionally, the hired student will assist in corrosion/surface defect detection, object tracking of moving targets, and other machine learning based tasks. The computer vision team develops solutions for a range of vision tasks via machine learning and deep learning algorithms. The SSUDIO project aims to identify various objects of interest from shipboard 3D scans by training computer vision algorithms to detect, localize, and classify objects.
Requirements
- Graduate Level 1 or above: Pursuing a Master's Degree or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Data Science, or a related major
- Functional knowledge of Python and common libraries (e.g. comfortable with writing functions, classes, loops, etc. and using Anaconda or Python virtual environments)
- Proven oral/written communication skills and documentation habits
- Due to the regulations established by the Department of Defense, only US Citizens may qualify.
- Candidate must reside in California and live within a commutable distance from SDSU at time of hire.
Nice To Haves
- Familiarity with Computer Vision or Machine Learning and relevant frameworks ( e.g., Pytorch and/or TensorFlow)
- Familiarity with neural networks and deep learning
- Experience with object classification/detection/segmentation, Optical Character Recognition, or text localization
- Experience with LiDAR and point clouds or other 3D work
- Comfortable working in a Linux environment
- Experience with GIT/source control
Responsibilities
- Developing and maintaining computer programs using Python and other programming languages to support computer vision and machine learning projects.
- Researching, developing, and improving machine learning workflows and applications.
- Utilizing neural networks and deep learning for object classification/detection/segmentation, Optical Character Recognition, and text localization.
- Completing data labeling tasks for machine learning models, including file and data format conversions. Annotating data, including but not limited to text transcription, classification, and object detection in 2D, 3D, and other data types.
- Conducting research, writing reports/publishing conference papers, and creating demonstrations/visualizations to support the understanding of the algorithms and the data.
- Monthly Status Reports and Bi-Weekly Time Reports shall be in accordance with basic contract CORL.
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What This Job Offers
Job Type
Part-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
