Postdoctoral Fellow, Bioacoustics at Museums Victoria
MCC, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

08 May, 25

Salary

95102.0

Posted On

12 Mar, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

POSTDOCTORAL FELLOW, BIOACOUSTICS

Australia’s largest public museum organisation is seeking a Postdoctoral Fellow, Bioacoustics to join Museums Victoria.

ABOUT THE POSITION:

We are seeking an enthusiastic and energetic individual to join the Sciences team as a Postdoctoral Fellow, Bioacoustics, leading the development, optimisation, and implementation of machine-learning algorithms to analyse large-scale audio data from birds as part of the Hearing Victoria’s Birds project. This research will advance automated bird call detection methods and contribute to understanding how bird communities respond to environmental disturbances, including fire. The successful candidate will work as part of a global research network, with opportunities to lead scientific publications on methods for multi-species sound detection and ecosystem monitoring. This 12-month fixed-term role is full-time and has the potential for renewal for up to three years. The position provides an exciting opportunity to work within a global research network, collaborating with national and international scientists in the field of bioacoustics.

Responsibilities
  • Evaluating the performance of existing bird sound classification algorithms.
  • Training and optimising deep learning models for multi-species sound detection, focusing on Victoria’s birds.
  • Generating species detection data from Museums Victoria’s digital wildlife sounds library.
  • Preparing new species detection records for registration in the Ornithology Collections.
  • Developing and deploying a bird sound classification algorithm for use on micro-computers (e.g., Raspberry Pi).
  • Collaborating with international research partners on cutting-edge machine learning and acoustic analysis projects.
  • Publishing scientific research papers and presenting findings at conferences and workshops.
  • Disseminating developed computer code and project outcomes through open-access platforms.
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