IDTC scholarships


Expressions of interest for IDTC program and scholarships 

ATN Universities offer scholarships as part of the IDTC’s PhD intake and we are inviting all interested students to submit an expression of interest by filling out the form below, and submitting all the required documents. Each University offers a number of four year, full-time, Research Training Program stipend scholarships, as part of the IDTC PhD program, with some universities offering an additional $2-3K on top of the RTP stipend-level scholarship.

When to Apply

Applications are reviewed throughout the year on a regular basis.

You are also welcome to use the same forms to 'express your interest' as a student in the IDTC PhD program, even if you do not need a scholarship from one of the ATN universities.


Value of scholarship


How To Apply

Entry Requirements

Apply now

Download the application form and submit via email to 

Applying directly to an ATN University

If you wish to apply for an IDTC scholarship directly through one of the ATN Universities, you can use the links below. Please note that you must then clearly state in your application that you are applying for the four year IDTC Scholarship (e.g. if application is to UTS, state clearly in your application as follows ‘UTS IDTC four year Scholarship for 2018’). Otherwise, please use the general IDTC Scholarships application form (where you will  nominate your preferred ATN universities), provided here.

Curtin -


UniSA -



Please contact Associate Professor Charles Lawoko, ATN IDTC Director via phone: (03) 9925 8353 or email

Current IDTC Projects looking for Students

PhD Research in Cyber Security

The Australian Technology Network of Universities (ATN) is seeking expressions of interest from Australian citizens with relevant qualifications who are interested in pursuing PhD degrees through its Industry Doctoral Training Centre (IDTC), in several areas of cyber security. The ATN Universities are: UTS (Sydney), RMIT (Melbourne), UniSA (Adelaide), Curtin (Perth). 

The IDTC is an Australia-wide research training program where Masters and PhD students work on an external organisation’s practical strategic challenge, as the main topic for their research degree. We focus on problems requiring analytics, data science, big data, computational sciences, and engineering solutions. The IDTC program is a four year PhD (or two year Masters) program, which also include training in broad technical and professional/transferable skills beyond the PhD or Master’s Degree. Hence, these PhD projects will be done in partnership with external industry partners. Because of the requirements by the industry partners, students for these projects must be suitably qualified Australian citizens.  

We are now seeking expressions of interest (EOI) from suitably qualified individuals who want to be considered for these projects.

For further information and details on how to apply, please click here.

IDTC PhD scholarships in Intelligent Systems and Engineering, at RMIT in Melbourne

Project 1: Recommendation algorithms are important parts of many systems such as e-commerce stores, entertainment platforms, online social networks and educational systems. A group of items is recommended for any target user such that the user like the items (provide positive rating), if use it. The aim of a recommender algorithm is to find proper recommendation list with the hope of maximum user satisfaction, which may also lead to maximize the revenue. The aim of this project is to develop an efficient recommender system for financial applications. The candidate will have access to financial data provided by the industry partner. The recommender system should be able to learn interests of the customers and recommend appropriate financial product to them.

Project 2: Robo-advisor is a class of financial advisors that are designed to provide financial advice with minimal human intervention. They include an inference engine that is based on computational algorithms and mathematical rules. The candidate will have access to financial data provided by the industry partner. They will then develop an intelligent inference engine that can effectively use the available data to learn the rules, and provide financial advice.

For further information and details on how to apply, please click here