fisheries acoustics

Machine learning in fisheries acoustics

Accelerating information extraction from fisheries acoustic data through a cloud-based machine learning workflow.

Scalable, cloud-native processing of water column sonar data

Accelerating ocean exploration through cloud-native processing of active ocean sonar data.

Pattern discovery from long-term echosounder time series

Developing algorithms to discover prominent spatio-temporal patterns of animal movement and grouping behavior observed in sonar echoes using data from the Ocean Observatories Initiative (OOI).

Scalable, interoperable processing of water column sonar data for biological applications using the echopype Python package

Building a toolbox for studying marine ecology using large ocean sonar datasets

Postdoc position for machine learning in fisheries/ocean acoustics

We are looking for a postdoc scientist to join our team on our recently funded project from NOAA Fisheries!