AI in Giant Crab fishery

Visual intelligence for assisting in Giant Crab fishery management in Southeast Australia

Degree type


Closing date

24 September 2021



Citizenship requirement

Domestic/International Onshore

About the research project

The Giant Crab Fishery (GCF) is looking for ways to improve stock management. A lack of quality stock assessment data has led to increasing uncertainty in the population of crabs. This project is pioneering a new method of collecting quality data for use in population models that can more accurately assess the state of the fishery. Using Visual Intelligence, a combination of visual processing and machine learning, images of Giant Crabs can be used to collect size, sex and unique ID of individuals. The successful applicant will assist in the development of image capture process that will eventually be trialled within the GCF. They will also develop models using Visual Intelligence to retrieve crab data from the images. It is hoped this data gathering process will be rolled out in southeast Australian GCF and assist in the sustainable management of the industry.

Primary Supervisor

Meet Dr Scott Hadley


Applicants will be considered for a Research Training Program (RTP) scholarship or Tasmania Graduate Research Scholarship (TGRS) which, if successful, provides:

  • a living allowance stipend of $28,597 per annum (2021 rate, indexed annually) for 3.5 years;
  • a relocation allowance of up to $2,000; and
  • a tuition fees offset covering the cost of tuition fees for up to four years (domestic applicants only)

If successful, international applicants will receive a University of Tasmania Fees Offset for up to four years.

As part of the application process you may indicate if you do not wish to be considered for scholarship funding.


The project is open to domestic (Australian and New Zealand) and international applicants who are already in Australia (onshore) at the time of submitting their application.

Due to current Australian COVID-19 travel restrictions the University cannot accept applications from international applicants who are currently overseas.

Applicants should review the Higher Degree by Research minimum entry requirements.

Selection Criteria

The project is competitively assessed and awarded.  Selection is based on academic merit and suitability to the project as determined by the College.

Additional essential selection criteria specific to this project:

  • A degree (MSc, honours) in fields related to information and communication technology

Additional desirable selection criteria specific to this project:

  • Machine learning (highly desirable)
  • Data analytics (highly desirable)
  • Programming (familiar with at least one of the following programming languages:  Python, C/C++, Java, .NET, MATLAB)
  • Computer Vision (optional)

Application process

There is a three-step application process:

  1. Select the project, and check you meet the eligibility and selection criteria;
  2. Contact the Primary Supervisor, Dr Scott Hadley, if you have any questions about the project; and
  3. Click here to submit an application by the closing date listed above.
    • Copy and paste the title of the project from this advertisement into your application. If you don’t correctly do this your application may be rejected.
    • As part of your application you will be required to submit a covering letter, a CV including 2 x referees and your project research proposal.

Following the application closing date applications will be assessed within the College. Applicants should expect to receive notification of the outcome by email.

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