Application of artificial intelligence for the diagnosis of eye diseases in cattle

Summary

Eye diseases of cattle are common in Australia and impact animal welfare, workplace health and safety, and cause significant productivity and economic losses. The aim of this project is to develop a cutting-edge classification tool for cattle eye diseases. An artificial intelligence (AI) model will be developed during the project and incorporated into a user-friendly mobile app to classify cattle eye diseases, provide an objective eye disease score and keep track of the disease progression or recovery over time.

Supervisors

Dr Mehar Singh Khatkar, Associate Professor Navneet Dhand.

Research location

Sydney School of Veterinary Science

Program type

PHD

Synopsis

The project will extend an ongoing pinkeye project and will involve refining and developing data collection strategies for eye diseases in cattle, developing scoring and annotation systems, analysing image data using machine learning approaches and evaluating user engagement.

Additional information

Additional supervisors for this project are: Associate Professor Merran Govendir and Associate Professor Zhiyong Wang.

The applicant should have a bachelor or master’s degree in quantitative disciplines (e.g., veterinary epidemiology, statistical genetics, computer science or bioinformatics) along with a strong background or interest in learning image processing, data science and machine learning. This position will also require animal handling and working in the field. The candidate should have a driving license and should be willing to travel. The successful candidate will be based at Camden within a large multidisciplinary and supportive team.

A letter of interest, C.V. including a list of publications and contact information for two referees should be emailed to [email protected]. Review of applications will begin immediately and continue until the position is filled. Informal inquiries are welcome.

HDR Inherent Requirements


In addition to the academic requirements set out in the Science Postgraduate Handbook, you may be required to satisfy a number of inherent requirements to complete this degree. Example of inherent requirement may include:

• Confidential disclosure and registration of a disability that may hinder your performance in your degree;
• Confidential disclosure of a pre-existing or current medical condition that may hinder your performance in your degree (e.g. heart disease, pace-maker, significant immune suppression, diabetes, vertigo, etc.);
• Ability to perform independently and/or with minimal supervision;
• Ability to undertake certain physical tasks (e.g. heavy lifting);
• Ability to undertake observatory, sensory and communication tasks;
• Ability to spend time at remote sites (e.g. One Tree Island, Narrabri and Camden);
• Ability to work in confined spaces or at heights;
• Ability to operate heavy machinery (e.g. farming equipment);
• Hold or acquire an Australian driver’s licence;
• Hold a current scuba diving licence;
• Hold a current Working with Children Check;
• Meet initial and ongoing immunisation requirements (e.g. Q-Fever, Vaccinia virus, Hepatitis, etc.)

You must consult with your nominated supervisor regarding any identified inherent requirements before completing your application.

Want to find out more?

Opportunity ID

The opportunity ID for this research opportunity is 2957

Other opportunities with Dr Mehar Singh Khatkar