Design a better future with a PhD in engineering or IT at Australia’s leading university.

Considering graduate research in engineering or IT?

Join us at our Engineering & IT Future Researchers Symposium on Friday 15 May 2020.

Get a taste of life as a PhD student while you discover the best way to pitch your thesis, meet potential supervisors, find out about Melbourne School of Engineering’s generous scholarship program and learn how to make the most out of your PhD.

Symposium program

Register to attend

5–8pm Friday 15 May 2020

Yasuko Hiraoka Myer Room
Level 1, Sidney Myer Asia Centre (158)
Parkville Campus [View map]

Introduction and research overview

Discover the breadth of engineering and IT research at the Melbourne School of Engineering.

Panel discussion

Hear from a panel of academic staff, current PhD students and alumni about:

  • Where a PhD in engineering or IT can take you
  • How to find the right project and supervisor for you
  • Commercialising your thesis topic
  • What a successful PhD researcher looks like
Meet potential supervisors

Have your PhD study queries answered and discuss your research goals with potential supervisors and current PhD students.

Refreshments will be served.

Who should attend?

We are inviting high achieving students or graduates of universities in Australia and New Zealand to attend the Future Researchers Symposium.

Attendees must either:

  • Be in the final year of a four-year honours degree in a cognate discipline or
  • Be in the final year of a Masters degree in a cognate discipline with a substantial research component (at least 25% of your final year) or
  • Have already completed either of the above


  • Must have achieved an overall average of 80% or above

Research spotlight

Real-time wind forecasting model

Mathieu is part of a team working with Meridian Energy Australia to develop a real-time wind forecasting model, using state-of-the-art LIDAR technology to improve wind forecasting accuracy for wind farms. The ability to forecast further into the future and more accurately helps the market operator, AEMO, accommodate for the intermittent nature of wind.

Treating real-world injuries with Virtual Reality

Although the Computer Assisted Rehabilitation Environment (CAREN) resembles an immersive video game, this unique technology is changing how we approach injury prevention and treatment.

Housed in Melbourne School of Engineering’s MedTech Linkway, CAREN allows researchers to understand how patients are responding to rehabilitation in real time. Using this curved virtual reality screen and ground-level mobile platform, researchers see how joints and muscles move. The screen projects a 3D musculoskeletal model of patients’ bodies with the muscles being used lighting up as patients move. Researchers can also collect information about muscle and brain activity through electromyography (EMG) and electroencephalography (EEG), assisting the rehabilitation of stroke sufferers.

With such diverse capabilities, CAREN supports cross-disciplinary research and helps researchers in engineering, medicine and science collaborate to solve major issues surrounding ageing, rehabilitation, human performance, mental health, computer science and even animation.

 A person walks on the rig, with a projected landscape in the background
The CAREN set-up in use

More about this project

AI’s Black Mirror

Society is becoming increasingly reliant on AI. But what happens when AI produces false or doubtful results?

Dr Niels Wouters and Professor Frank Vetere are exploring this phenomenon with Biometric Mirror – an interactive application that analyses your demographic and personality characteristics, ranking your level of attractiveness and even your ‘weirdness’.

Using an open dataset, the AI compares your photo with facial images that have undergone crowd-sourced ratings for perceived personality traits. Biometric Mirror then assesses and displays your personality traits, asking you to imagine this information being shared with someone like your future employer – a not too distant reality.

Biometric Mirror demonstrates the possible consequences of AI and algorithm bias and encourages us to reflect on a landscape where governments and businesses increasingly rely on AI to inform their decisions.

Biometric Mirror uses an open dataset of thousands of facial images and crowd-sourced evaluations. Picture: Sarah Fisher/University of Melbourne

More about this project

Further information

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