Improved fisheries management through weather forecasting

Value of information: Can better weather forecasts improve risk management in Tasmanian fisheries and aquaculture?

Degree type


Closing date

22 November 2021



Citizenship requirement

Domestic/International Onshore


$28,597pa for 3.5 years

About the research project

What is the economic value of weather forecasts for fisheries and aquaculture in Tasmania? Severe weather
events undermine the economic viability of fisheries and aquaculture sectors by limiting the productive capacity
and by adding extra complexity in economic decision-making. Australia’s southern coastal waters is now
experiencing storm and high-speed wind with an ever-increasing frequency and intensity, which challenges the
productivity and sustainability of the Tasmanian fisheries and aquaculture.

Ex ante information such as weather forecasts is crucial for many businesses to minimise their loss from the severe
weather events. However, recent studies show that weather forecasts based on a large-scale global Numerical
Weather Prediction (NWP) model do not necessarily improve economic decision-making. The limitation of NWP
indicates an opportunity for small-scale local models to play a role in forecasting severe weather events for the use
of the Tasmanian fisheries and aquaculture businesses.

The project enhances the adaptive capacity of Tasmania’s fisheries and aquaculture sectors to severe weather
events. To achieve this aim, the project has two major tasks:

  1. Characterise the decision-making process of Tasmanian fisheries and aquaculture businesses regarding
    their weather-risk management.
  2. Tailor small local models to generate marine weather forecasts that optimise the decision making.

Primary Supervisor

Meet Dr Jing Tian


The scholarship supporting this project 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;
  • a tuition fee scholarship for up to 4 years (successful domestic applicants will be awarded an RTP Fees Offset and successful international applicants will be awarded a University of Tasmania Fees Offset)

The scholarship supporting this project is funded by the University of Tasmania and the Australian Government through the Research Training Program.


The project is open to domestic (Australia 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 PhD minimum entry requirements.

Applicants from the following disciplines are encouraged to apply:

  • Economics
  • Econometrics
  • Applied Statistics
  • Operational Research

Selection Criteria

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

Additional selection criteria specific to this project/scholarship:

  • Strong statistics and quantitative skills
  • Experience in programming in Matlab, R or Python
  • Genuine interest in developing and applying economic methodologies to specific sectors
  • Strong verbal and written communication skills

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 Jing Tian, 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 by the advertised outcome date.

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