Internal Grant-Funded Researcher (C) - School of Computer Science

Страна: Австралия;

Город: Adelaide

Добавлена: 13.06.2019

Работодатель: The University of Adelaide

Дедлайн подачи: 23.07.2019


(Level C) Step 1 - $119,070per annum plus an employer contribution of up to 17% superannuation may apply

Full time, fixed term position for 4 years

Join a new research group working alongside Professor Mark Jenkinson (co-founder of the FSL analysis package), to pursue novel research in neuroimaging analysis in conjunction with the Australian Institute for Machine Learning (AIML) and the South Australian Health and Medical Research Institute (SAHMRI)


State-of-the-art facilities for human MRI and PET/CT scanning are available through SAHMRI, as well as the Royal Adelaide Hospital.  This newly founded group will initiate and support research in neuroimaging for both clinical and basic neuroscience projects, to foster neuroimaging within South Australia and build interstate and international links in this field. Strong links with the highly successful AIML already exist and this position is supported and based in both AIML and SAHMRI. As Professor Jenkinson has a jointly-funded position between AIML, SAHMRI, the University of Adelaide and the University of Oxford, and will spend 50% of his time in Oxford, the successful applicant will have exciting opportunities to take a leadership role in the broad research programme of this group in Adelaide, and have excellent exposure to international collaborations and networks.

This position will suit a researcher who is eager to develop new research programmes centred around novel neuroimaging analysis techniques for basic neuroscience and clinical applications, and is keen to gain experience in leading a research group and managing projects. The successful applicant should have experience working in interdisciplinary teams, applying for funding, and developing or applying novel neuroimaging techniques in research or clinical applications.


To be successful you will need:

  • A PhD, or equivalent, in Computer Science, Engineering, Mathematics, or a related field.
  • Experience in the analysis or processing of medical images.
  • A good record of research achievements as, for example, evidenced by published work in high quality journals or leading international conferences.
  • Demonstrated experience in developing proposals for competitive grants and industry funded research projects.
  • Experience in supervising higher degree research students or other researchers.


Enjoy an outstanding career environment

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.

Our core values are honesty, respect, fairness, discovery and excellence. Our culture is one that welcomes all and embraces diversity, We are firm believers that our people are our most valuable asset, so we work to grow and diversify the skills of our staff.

In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at:


Your faculty's broader role

The Faculty of Engineering, Computer and Mathematical Sciences is a thriving centre of learning, teaching and research in a vast range of engineering disciplines, computer science - including machine learning - and high-level mathematics. Many of its academic staff are work leaders in their fields and graduates are highly regarded by employers.

Learn more at:


If you want to change tomorrow, act today

Click the link to the online application form below and address and upload your responses to all selection criteria. Application close 11:55pm, 23 July 2019. 


For further information

For a confidential discussion regarding this position, contact:

Mark Jenkinson

Professor of Neuroimaging, School of Computer Science


You'll find a full selection criteria below: (If no links appear, try viewing on another device)


The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.

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