![](https://datascience.sdsc.edu/sites/default/files/styles/medium/public/file_fields/project/Screen%20Shot%202018-01-09%20at%204.19.51%20PM.png?itok=ww9y_GbQ)
Using underwater sound pressure from active and passive sources to train machine learning models for various applications.
Type of Data:
acoustic data
Approximate Data Size:
1 TB
Domain Expert:
Domain Student:
Methods Expert:
Methods Student Openings:
2.00
Methods Student Funding:
no
Methods Student Prerequisites:
One course in signal processing.
Experience with python.
MS or PhD student preferred.