Wildlife health intelligence system

Developing a wildlife health intelligence and vaccine distribution system

Degree type


Closing date

27 March 2023



Citizenship requirement


About the research project

This project aims to establish a remote monitoring system for monitoring Tasmanian devils and devil baits in the field. The student will integrate their work into online dashboard currently in development. This will allow us to remotely monitor devil traps, bait dispensers, and devil behaviour. Students of any background (e.g. engineering, math, biological science, environmental science, computer science) are encouraged to apply, as our team includes supervisors to support the student’s skills development. This integrated wildlife health intelligence and scalable vaccine platform can help protect the iconic Tasmanian devil from disease and increase Australia's preparedness for looming threats to the livestock industry such as African swine fever.

Primary Supervisor

Meet Dr Andy Flies


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 $31,500 per annum (2023 rate, indexed annually) for 3.5 years
  • a relocation allowance of up to $2,000
  • 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.


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

Additional eligibility criteria specific to this project/scholarship:

  • Applicants must be able to undertake the project on-campus

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:

  • Ability to work with a diverse academic and industry team

Additional desirable selection criteria specific to this project:

  • Basic to advanced computer programming skills
  • Experience in machine learning algorithms
  • Bachelor's degree in science, technology, engineering, or math
  • Basic knowledge of animal behaviour

Application process

There is a three-step application process:

  1. Select your project, and check you meet the eligibility and selection criteria;
  2. Contact the Primary Supervisor, Dr Andy Flies to discuss your suitability and the project's requirements; and
  3. 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 by the advertised outcome date.

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