Opportunity: Postdoc - machine learning in fisheries/ocean acoustics

Echospace group at the University of Washington are accepting applications to a postdoc position for machine learning in fisheries/ocean acoustics. 

Visit the Echospace website for further details and how to apply.

Date published: 2021/09/24

Postdoc position for machine learning in fisheries/ocean acoustics


Seattle, WA, USA

Open Date

June 30, 2021


Open until filled. Review of materials will start immediately.


We are looking for a highly motivated and independent individual to join the Echospace group at the University of Washington to conduct research at the intersection of fisheries/ocean acoustics and machine learning.

The postdoc will develop and apply machine learning methodologies to extract identification and distribution information of fish and zooplankton from large volumes of water column sonar data collected over the past 20 years off the west coast of the U.S. The project is in close collaboration with the NOAA Fisheries Northwest Fisheries Science Center (NWFSC) with a primary goal of developing a high-throughput echosounder data analysis pipeline to contribute to fishery stock assessment and ecosystem-based management. In addition, the postdoc will have opportunities to develop skills including cloud computing and software engineering as integrated components of their work within Echospace and interact with the vibrant ocean sciences and data science communities at UW and in Seattle.


The candidate will hold a PhD degree (earned or nearing completion of) in acoustics, oceanography, computational sciences, or a related field, and have a track record of first-author, peer-reviewed publications, programming experience (Python, R, Matlab, or similar), and prior research experience in relevant research domains, such as ocean acoustics, fisheries acoustics, machine learning, statistics, data visualization, and physical or biological oceanography. Familiarity with echosounder data and analysis techniques, and experience applying machine learning methods to scientific problems are preferred. They are expected to have excellent communication skills, the experience and/or ability to work in a team environment, and a strong interest in interdisciplinary research approaches.

Application Instructions

Visit the Echospace website directly for instructions on how to apply, including a more detailed description.

Materials needed

  • CV including a list of publications (include GitHub handle if available)
  • Cover letter with a brief description of present and future research interests
  • A list of three references and their contact information

For questions about the position, please reach out to Dr. Wu-Jung Lee ([email protected]).