Dr. Brian Stucky

Dr. Brian Stucky
Project Title
Machine learning for high-throughput analysis of bioacoustic data
Time Commitment
Possible Co-Authorship
Project Description

Several paid undergraduate research positions in audio signal analysis and machine learning are currently available at the Florida Museum of Natural History and the Machine Learning and Sensing Lab at the University of Florida. These positions are part of a project to develop software tools for automated analyses of bioacoustic data. Thousands of species of animals, from insects to mammals, use sound to communicate, and audio recordings of natural environments can reveal which animals are present at a given time and what they are doing.

The goal of this project is to make it easier for biologists to use bio-acoustic data in their research. Ideal candidates will have the following qualifications:
• Strong programming skills, with Python experience preferred.
• Background (or interest in and strong motivation to learn) machine learning, pattern recognition and/or signal/audio processing.
• Eagerness to work in interdisciplinary teams.
• Self-motivated and able to work independently.

Contact Info

Phone:  (352) 294-2086

Email:  stuckyb@flmnh.ufl.edu

Any additional requirements or prerequisites in order for the student to be a part of your team?

Prefer first year students who will be able to work in the lab for several years