Development of novel machine learning algorithms for application to sonar and underwater acoustics, as well as the accompanying data analysis to effectively characterize their performance in the Advanced Technology Laboratory (ATL).
Requirements
- Demonstrated ability in Python or similar abstract language.
- Demonstrated knowledge in one or more of the following areas: machine learning, high-performance computing, data pipelining, applied statistics, robotics, Bayesian estimation, SLAM
- Two or more years of Python or C++ development
- Demonstrated knowledge in any of the following areas: distributed computing, embedded software development, data science, storage and database management, machine learning frameworks, and applied statistics
- Experience building and troubleshooting software systems
- Experience with scientific literature review
Responsibilities
- Conduct data analysis across a range of acoustic systems, identifying anomalies and opportunities for improvement.
- Identify, research, and develop algorithms to exploit information in various sensor systems
- Analyze and develop models of signal processing outputs to support system understanding
- Coordinate algorithm delivery to implementation and deployment teams.
- Present results to research community
- Travel in support of data collection and system evaluation testing.
- Other related functions as assigned.
Other
- Applicant must have a dynamic skill set, be willing to work with new technologies, be highly organized and capable of planning and coordinating multiple tasks.
- The position will require attention to detail, effective problem-solving skills and excellent judgment.
- Ability to work independently with sensitive and confidential information, maintain a professional demeanor, work as a team member without daily supervision and effectively communicate with all groups of clients.
- Able to work under pressure and accept supervision.
- US Citizen. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position.
