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)
Job Summary
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).
Conduct data analysis across a range of acoustic systems, identifying anomalies and opportunities for improvement, and coordinate algorithm delivery to implementation and deployment teams.
UT Austin offers a competitive benefits package that includes 100% employer-paid basic medical coverage, retirement contributions, and paid vacation and sick time.
Matching Summary
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).
Salary
$88,500-$120,000+/negotiable
Skills & Requirements
Must-have
Python or similar abstract language
Machine learning algorithms
Sonar and underwater acoustics
Data analysis across acoustic systems
Algorithm delivery coordination
Nice-to-have
Work with new technologies
Highly organized and capable
Attention to detail
Effective problem-solving skills
Ability to work independently
Key Requirements
Bachelor’s degree in physics, math, computer or information sciences, engineering, related technical area
Demonstrated knowledge in machine learning, high-performance computing, data pipelining, applied statistics, robotics, Bayesian estimation, SLAM