Honours opportunities in TIA

Work with industry on projects that have real impact for growers and the agricultural sector

Are you looking to build connections into the agriculture or food industries? Perhaps you are passionate about a particular issue or crop? Or maybe you’re looking to study for a PhD in the future? An honours degree at the Tasmanian Institute of Agriculture might be for you.

Working with a supervisory team, you can complete an honours project in your chosen area, whether that’s vegetable agronomy, dairy cow welfare or soil health (or anything in between). Doing an honours degree helps you to improve your problem solving, communication and project management skills and gain a better understanding of the research process.

Industry focused

Most of our honours projects are working directly with industry partners, helping you build your industry knowledge and network. Many of our honours graduates get excellent industry jobs or go on to complete further study.

Eligibility

To be eligible, students need to have completed an undergraduate degree in a science subject, or have completed the third year of their Bachelor of Agricultural Science degree at the University of Tasmania. Students who have completed an undergraduate degree at other universities are welcome to apply.

Most candidates are based on-campus at a location that is most suited to their research (Hobart, Launceston, Burnie). In some cases, candidates may be externally located (e.g. based in industry or a family farm) but supported with supervision from our staff.

Scholarships

The University of Tasmania offers scholarships in agriculture to reward and encourage students. You can even apply for multiple scholarships in one easy application. Find out more about scholarships.

Available projects

We welcome enquiries from suitably qualified potential applicants. For more information contact the Honours Coordinator Dr Apeh Omede.

Project Description: There are several freely available agricultural mathematical models on the internet. These have scales ranging from the paddock to the globe. However, most models still require some adjusting to local conditions in order to match field data or regional observations. This project will compare crop production and grain yield of selected decision-support tools (e.g. APSIM, DSSAT) and simple empirical models programmed from first principles to determine which model(s) provide better predictions with the lowest amount of model coefficient adjustment (parameterisation).

Primary Supervisor: Matthew Harrison

Industry Partner Involvement: No

Student Stipend Offered: No

This project is available in Bachelor of Agriculture with Honours (S4X) and Bachelor of Agricultural Science with Honours (S4A).