Career Opportunity /  30 June 2024

Postdoctoral Research Associate: Bioacoustics & population modeling

The San Diego Zoo Wildlife Alliance's Burrowing Owl Recovery Program and Conservation Technology Lab seek a postdoctoral research associate to develop bioacoustic tools for monitoring the western burrowing owl population and associated biodiversity in grassland ecosystems of southern California

Deadline: 30 June 2024 - the deadline has passed.
San Diego County, California - United States

The Burrowing Owl Recovery Team at the San Diego Zoo Wildlife Alliance has an opening for a full-time, 3-year Postdoctoral Research Fellowship in ecological population modeling using bioacoustic data and machine learning-backed detection and classification to develop approaches for monitoring burrowing owls and other affiliated species in southern California. Working closely with the Recovery Ecology and Population Sustainability Conservation Technology Teams, the Fellow will work to pioneer the application of bioacoustic monitoring of grassland ecosystems and work collaboratively to develop protocols land managers and agencies can use to support regional monitoring of burrowing owls and associated species, with opportunities for retrospective analyses of more than 10 years of ecological and population data on burrowing owls in southern California. Qualifications include a PhD in Ecology, Computer Science, Wildlife Conservation and Management, or similar field of study, strong quantitative skills, experience in collecting, processing, and analyzing passive acoustic data, and experience developing detection and classification models for such data using machine learning approaches and/or other methods of signal processing. 

Ideal candidates will:

  • Demonstrate a strong record of collaborative research and productivity 
  • Be comfortable working independently in the field
  • Have strong quantitative and ecological modeling skills
  • Have experience analyzing passive acoustic data for taxa specific detections and patterns in biodiversity
  • Be able to incorporate acoustic detection data into population models

     

Full details and how to apply: