Research Associate, Machine Learning (Underwater Sound)

Perth (Suburb), Western Australia (AU)
$74,236 - $99,905 p.a. plus 17% superannuation
13 Jan 2023
End of advertisement period
28 Feb 2023
Contract Type
Fixed Term
Full Time

School of Biological Sciences

Oceans Institute

  • Level A, full-time appointment on a fixed term contract for 3 years
  • Base salary range: $74,236 - $99,905 p.a. plus 17% superannuation

The University of Western Australia (UWA) is ranked among the top 100 universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record, vibrant campus and working environments, supported by the freedom to innovate and inspire, there is no better time to join Western Australia’s top university.

About the team

The UWA Oceans Institute and School of Biological Sciences bring together The University of Western Australia’s multidisciplinary research strengths across areas including oceanography, ecology, engineering, resource management and governance to address key ocean challenges. We work with local, State, and Federal governments, industry and business, research institutions and the community to help generate solutions towards the sustainable use of ocean resources.

The Australian Institute of Marine Science (AIMS) is a leader in tropical marine science. Established in 1972, the Institute's primary function is research for sustainable use and protection of the marine environment. The Institute investigates topics from broad-scale ecology to microbiology. AIMS is committed to the protection and sustainable use of Australia’s marine resources. Its research programs support the management of tropical marine environments around the world, with a primary focus on the Great Barrier Reef World Heritage Area, the pristine Ningaloo Marine Park in Western Australia and northwest Australia.

About the opportunity

You will develop and apply novel approaches and machine learning techniques for the detection, classification and identification of marine fauna from passive acoustic monitoring (PAM) validated with paired visual identification data. You will be responsible for the development of techniques to generate datasets for species identification and ecosystem health, which can then be applied to existing datasets from Australia and internationally.

You will work closely with research staff across UWA and AIMS, and be expected to develop your own area of research interest to support the core science in collaboration with teams across AIMS and UWA. You will also have the opportunity to acquire new data sets in the field.

About you

You will provide evidence of published manuscripts and conference presentations with excellent written and verbal communication skills. You will demonstrate willingness to supervise and guide research students

To be considered for this role, you will demonstrate:

  • A PhD in passive acoustic monitoring (PAM), ecoacoustics, data science, machine learning or other related disciplines with a strong quantitative background
  • Experience in programming with scientific languages such as Python, Malab, or R
  • Experience in working with, and analysing large datasets
  • Experience with the use of machine learning techniques for use with sound data
  • Experience working independently and productively in multidisciplinary teams on a range of projects

Note: A current ‘C’ class driver’s licence is a requirement of this position.

About your application

Full details of the position's responsibilities and the selection criteria are outlined in the position description: PD - Research Associate - Machine Learning (Underwater Sound).docx

You are required to address the selection criteria in your submission in a separate document. For information to assist you with compiling statements to answer the selection criteria, please visit Addressing the selection criteria.

Closing date: 11:55 PM AWST on Tuesday, 28 February 2023

To learn more about this opportunity, please contact Dr Tim Langlois at copying Dr Miles Parsons at AND Mathew Wyatt at

This position is open to international applicants.

Application Details: Please apply online via the Apply Now button.

Our commitment to inclusion and diversity

UWA is committed to a diverse workforce and an equitable and inclusive workplace. We celebrate difference and believe diversity is fundamental to achieving our goals as a globally recognised Top 100 educational and research institution. We are committed to creating a safe work environment for Aboriginal and Torres Strait Islander people, women, people from culturally and linguistically diverse backgrounds, the LGBTIQA+ community and people living with disability.

  • We have a globally competitive, gender neutral parental leave policy with 26 weeks paid leave after 12 months service and 36 weeks after 5 years.
  • We have on-campus childcare facilities for child 6 weeks to kindy.
  • We facilitate flexible working, with part-time and job-sharing arrangements considered.
  • We have an ongoing partnership with Pride in Diversity and were recently awarded a Bronze Employer status for LGBTIQA+ inclusion.
  • We have Athena SWAN Bronze accreditation and actively work to improve gender equity.

Should you have any queries relating to your application, please contact the individual named in the advertisement. Alternatively, contact the Talent team at with details of your query. To enable a quick response, please include the 6-digit job reference number and a member of the team will respond to your enquiry.