Research Fellow in Epilepsy and Brain-computer Interfaces

Work type: Fixed Term
Location: Parkville
Division/Faculty: Melbourne School of Engineering
Department/School: School of Chemical and Biomedical Engineering
Salary: $69,148 - $93,830 (Level A)
Role & Superannuation rate: Academic - 9.5% superannuation

About the Department of Biomedical Engineering (BME)

The Department of Biomedical Engineering integrates the expertise and capabilities that allows us to facilitate knowledge acquisition, research excellence, and its translation into technological, societal, industrial and medical innovation.  We are working on some of the most challenging problems at the interface of engineering with life sciences and medicine. We apply interdisciplinary expertise and thinking to make new discoveries and provide innovative solutions that will improve healthcare and social wellbeing. We encompass areas in biomaterials and tissue engineering; biomechanics and mechanobiology; bionics and neuroengineering; medical imaging; and systems and synthetic biology. At BME, you'll find smart people, big problems, and plenty of opportunities to make a real difference in the world.

About Melbourne School of Engineering (MSE)

At MSE, we are committed to excellence. We are transforming our engineering and IT teaching as well as research at the University of Melbourne, guided by MSE 2025, our ten-year strategic plan. With an expected investment of $1 billion in people and infrastructure, we are creating the entrepreneurial leaders and technology of the future — the people and things that will drive innovation and productivity to make a sustainable impact on the world in which we live. It’s an incredibly exciting time to be joining MSE!

The Opportunity

We have created a University-wide new research centre dedicated to Cognitive Computing for Medical Technologies and are now looking for outstanding Research Fellows to join on us on three-year appointments. This is an exciting joint venture between the Department of Biomedical Engineering and the School of Computing and Information Systems in collaboration with our research partners IBM Research Australia, University of South Australia, Western Sydney University, RMIT University, and CSIRO. Our focus is to create a workforce that is expert in developing, applying, and integrating artificial intelligence technologies in data-intensive medical contexts by facilitating the next generation of data-driven and machine learning-based medical technologies.

The Role 

You will play an integral role in providing a significant contribution in bringing medical technology into a new era of data-driven medical devices and applications. You will be expected to develop a research portfolio to expand the breadth of research activities in brain-computer interfaces. You will be an aspiring leader in machine learning, with a track record publishing in top quality journals and conferences. You also contribute to the work completed in the Centre, which will result in the development of capabilities in the core technologies of machine learning and the practical application of cognitive computing in health.

We’ve already been joined by some of the best minds, and we’re now inviting talented Research Fellows who have applied experience in the expert areas of:

  • Epileptic Seizure Prediction
    • ​​In this project, you will work to develop and apply state-of-the art machine learning approaches for epileptic seizure prediction as well as assessing the efficacy of epilepsy medication.
  • Epilepsy Modelling
    • ​​In this project, you will help understand the causes and behaviours of epileptic seizures and develop high fidelity models for seizure prediction. This will be done by bringing together neural models of the brain with machine learning.
  • Brain-Computer Interfaces
    • In this project, you will work to develop a neural network-based brain-computer interface that can be used to control augmentative devices for people with speech, vision or motor disorders.

We are interested in applications from those whose expertise aligns with and reflects strengths in Biomedical Engineering, Electrical Engineering, Mathematics and Computer Science. We are also interested in specific experience in programming skills, machine learning, signal processing and computational neuroscience.

This team is part of some of the most ground-breaking and exciting work at The University of Melbourne. By joining us, you will contribute to this large vision and enhance your career by translating your research into impactful solutions and contributing to a better future.

Application Process

  • Apply online with your resume and cover letter
  • Your cover letter must include your preference(s) of stream/project that you wish to work in and why
  • We ask that you please address the selection criteria for this position on a separate document and keep your responses short and succinct
  • Applications will be reviewed early January 2019 

What we offer you

Apart from competitive salaries, our benefits are aimed at recognising and rewarding the contributions you make. We offer complete flexibility, whatever that may mean for you. Many of our benefit programs and onsite amenities are aimed at supporting you - including generous leave, child care subsidies, discounted parking, medical and health care. We offer extensive opportunities for personal and professional development and we’ll support you in doing what you love.

Living in Melbourne

It’s no secret that Melbourne has been crowned the ‘World’s Most Liveable City’ more than any other city in the world, having attained top scores in stability, healthcare, arts and culture, sports, environment, education, and infrastructure. To find out more about life in Melbourne, visit:  

About University of Melbourne

The University of Melbourne is consistently ranked among the leading universities in the world, at number 1 in Australia and number 32 in the world (Times Higher Education World University Rankings 2017-2018). We are globally engaged, comprehensive, research-intensive and committed to respond to the major social, economic and environmental challenges of our time.

While we take a look at your application, get to know us more and find out what it’s like working at MSE by visiting

The University of Melbourne and MSE are strongly committed to supporting diversity and flexibility in the workplace. Applications for part-time or other flexible working arrangements will be welcomed and will be fully considered subject to meeting the inherent requirements of the position. 

Below are the three Position Descriptions for each expert area:

Download File Research Fellow in Epilepsy Seizure Prediction.pdf

Download File Research Fellow in Epilepsy Modelling.pdf

Download File Research Fellow in Brain-Computer Interfaces.pdf

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