Scholarship details

Study levels


Student type

Future students

Study area

Business, Information technology, Science, technology, engineering and mathematics and Science

Eligibility criteria

Academic performance


Australian or New Zealand and International

What you'll receive

Three scholarships have become available through a joint endeavour between QUT Centre for Data Science and Hastings Deering to support data science research in an area of relevance to Hastings Deering.

This position will be based between Gardens Point campus and Hastings Deering Archerfield Office.

You'll receive a tax-exempt scholarship stipend at $28,854 (AUD) per annum for three years. This stipend will be paid fortnightly and indexed annually. This scholarship is for full-time study and can be used to support living costs.

A six-month extension to the scholarship is also possible, subject to approval.

A successful international student will be considered for a research degree tuition fee sponsorship, if successful in receiving the scholarship.

The opportunity to work with leading Data Scientists at QUT and Hastings Deering, including access to Hastings Deering data and expertise.


You must:

  • meet the QUT academic and English language entry requirements for QUT's Doctor of Philosophy (PhD)
  • alternatively, be an exceptional Master of Philosophy (MPhil) candidate with the aptitude and willingness to articulate into a PhD program within 12 months
  • have excellent written and verbal communication skills
  • have the ability to work effectively with both university and industry stakeholders.

The provision of a scholarship is conditional on successful application and admission to the Doctor of Philosophy course. Eligibility for admission to a research degree is determined by the Graduate Research Centre.

We are aiming to fill these scholarships as soon as possible. It is expected that the students will be able to commence the scholarships and begin full-time study in 2022.

How to apply

QUT and the Graduate Research Centre are committed to Equity and Diversity among our staff and students, to ensure that we mirror the diversity of the community in which QUT exists. In 2018, this was recognised by QUT receiving a Bronze Award in the inaugural SAGE Athena SWAN gender and diversity program.

Women and Aboriginal and Torres Strait Islander students are encouraged to apply.

To be considered for this scholarship you must be invited to apply for and be accepted into a PhD at QUT. The process is as follows:

  1. Complete the application form (PDF file, 605.9 KB) for the Hastings Deering project and send it to Dr Char-lee McLennan ( who will match you with a project supervisor.
  2. You will be invited to attend an online interview with the nominating supervisor and a Hastings Deering representative.

What happens next?

  1. If successful in your application, you will be invited to submit an expression of interest (EOI) to study a PhD at QUT. See more information about this process here: How to apply for a research degree
  2. If your EOI is successful, you will be invited to submit a full application including a research proposal to finalise your application.


The scholarship will be governed by QUTPRA rules (QUT Postgraduate Research Award (Domestic) or QUT Postgraduate Research Award (International) but will only include provisions for up to an additional 12 weeks of paid sick leave, paid maternity leave and paid extensions.

There are additional milestones that will need to be achieved as a part of this scholarship that will be discussed with you at time of application.

About the scholarship

Hastings Deering is an unlisted public company registered in Australia, which carries on industry and commerce primarily in the field of the provision and supply of Caterpillar earthmoving equipment, however, it also provides solutions for mining and construction technology. Hastings Deering is embarking on a data maturity transformation and this joint research fellow appointment funded by Hastings Deering and QUT Centre for Data Science aims to scale their data science activities and accelerate their transformation.

The QUT Centre for Data Science draws together capability in data science from across Australia, providing a centralised hub for world-class data science research, unique training opportunities, and active external engagement.

Current topic areas

Benefits Realisation of Data Science

The aim of this PhD project is to investigate benefits realisation and data science to evaluate efficiencies and effectiveness of a data science practice in an organizational setting, maximise and communicate the benefits from data and analytics projects and their business impact. For example, how to manage and evaluate the benefits of data science projects (not just costs but also skills and other intangible benefits), what people to employ, what best practice processes to adopt, and how to solve efficiencies across a matrix organisation. The research will aim to differentiate between improvement projects and innovation projects and will follow a business-driven approach and align with the project management framework. The research will also consider alignment with existing strategies and business priorities, and how to best execute data science projects. It will address the benefits realisation evaluation in terms of monitoring the implementation of projects and setting KPIs, as well as post project sustainability of the benefits.

For this PhD project we are specifically looking for some with the following knowledge and skills:

  • hold an honours degree or masters by research in either information systems, project management, data science or related field
  • experience with project or program management, in particular, benefits management and realization
  • understanding of a business perspective on data and technology in an organizational setting, including business value and impact
  • well-developed research skills, in particular, mixed methods combining qualitative (e.g., interviews) and quantitate (e.g., surveys) approaches.

Customer and Market Development Analytics

The aim of this PhD project is to conduct a prediction of Hastings Deering customers and the current and broader market. What is happening currently in the market, what is likely to happen in the future and how is behaviour changing? Data available includes oil samples, service history, fuel burn, customer purchasing and servicing behaviours, as well as externally available data. This project may identify who are the current groups of customers (cluster analysis), what is their current loyalty and churn behaviours, how they are changing and where potential markets might lie to inform product development and marketing activities. Our vision is for Hastings Deering to become industry leaders in the application of advanced analytics to understand customers, markets & productivity.

For this PhD project we are specifically looking for some with the following knowledge and skills:

  • hold an honours degree or masters by research in either business statistics, econometrics, data science, applied mathematics or related field
  • have experience with coding in either R, STATA, MATLAB, Python or SQL, or similar software.

Internal Customer ‘Data Needs’ Personas

The aim of this PhD project is to develop internal customer personas (data related) to understand: What do the internal customers need to know? Where are the internal customers at a given time? What is the best way to engage them with important information? This will then inform the development of an end-to-end solution (e.g., app or similar) that provides each personas end to end business insight requirements, as well as predicts and notifies the internal customer of important information, such as that something is declining or below a certain threshold. The purpose of this project is to establish a best practice framework for identifying and delivering information requirements to each key user persona. This would be achieved by breaking the current ‘death by dashboards’ approach and move towards a right information, right place and right time delivery model.

For this PhD project we are specifically looking for some with the following knowledge and skills:

  • hold an honours degree or masters by research in either business statistics, marketing statistics, data science, computer science, information technology or related field
  • have experience with coding in either R, STATA, MATLAB, Python, SQL, Wordpress, or similar software
  • have experience with developing dashboards or apps (favourable, but not essential).

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