Neuroimaging Informatics Fellow

About Swinburne Neuroimaging (SNI)

Swinburne Neuroimaging (SNI) is a key research facility at Swinburne University of Technology and the only node of the Australian National Imaging Facility (NIF) with EEG, MEG and MRI capabilities. The National Imaging Facility is an Australia wide collaborative network of world-class imaging infrastructure, which was established in 2007, one of the four initiative projects implemented by the Australian Government, under the National Collaborative Research Infrastructure Strategy (NCRIS) Characterisation capabilities program.

About the role
Hosted by the Swinburne Neuroimaging and reporting to the Director of Neuroimaging, the Neuroimaging Informatics Fellow, cofunded by the NIF and Swinburne University of Technology, is the principle scientist responsible for developing and supporting innovative and robust data informatics for MRI, MEG and EEG users, nationally.

You will take a lead role in developing national capabilities in Open Science standards for neuroimaging data analysis and data sharing. The position will have the following principle roles: (i) developing innovative data analysis algorithms and pipelines for neuroimaging research, following the FAIR guidelines; (ii) managing and ongoing revision of practices and systems to ensure robust neuroimaging data management; (iii) providing expert support for facility users to plan and implement data analysis and manage data. The appointee will be expected to function as a member of an interdisciplinary national team and coordinate and participate in NIF activities to achieve its objectives, including supporting the national informatics needs, working with the Australian Research Data Commons (ARDC), contributing to data analytics and management policy for NIF, and playing an active role in the national and international Open Science neuroimaging community. The appointee will also be expected to work with the university ITS to ensure excellence in data management and analysis systems for all facility users. The appointee will be expected to carry out appropriate activities that will maintain and develop their scholarly, research and/or professional expertise.

About you
To be successful in the role, you will have:
• An earned doctoral qualification in Science in an area related to numerical and scientific computing, preferably in the context of neuroimaging
• Demonstrated high level of interpersonal and communication skills, including the ability to work within a collaborative, team environment in multi-disciplinary contexts
• Demonstrated experience in analysis algorithms implementation

A full list of the selection criteria is available within the position description

Benefits
Some of excellent benefits include:
• Onsite health services
• Private health insurance discounts
• Discounted annual Myki cards are available to Swinburne staff.
• Salary package your car parking, superannuation and vehicle lease plans. It can help you get the most value from what you earn.

Further information and how to apply
The diverse culture within Swinburne is a source of strength. We are proud to be recognised by the Workplace Gender Equality Agency as an Employer of Choice for Gender Equality 2018 and of key initiatives such as our Pride@Swinburne Strategic Action Plan and our Reconciliation Action Plan which are integral components of our 2025 vision to be world class university creating social and economic impact through science, technology and innovation. Swinburne has also received the Victorian “High Commendation” Multicultural Excellence Award (Business Category).

To view the position description or to start an application click on 'apply' at the bottom of this page and submit a resume, cover letter and response to the Key Selection Criteria, as listed in the Position Description.
Please do not email or send paper applications, all applications must be submitted online.

For further information about the position, please contact Prof. Tom Johnstone (Director of Neuroimaging) tjohnstone@swin.edu.au.

If you are experiencing technical difficulties with your application, please contact the Recruitment team on staffrecruitment@swin.edu.au

Should you require further support for an interview due to special needs or consideration, please contact our Diversity Consultant, Dr. Walter Robles, on inclusion@swin.edu.au. For support or queries related to Aboriginal and Torres Strait Islander employment, please contact DeadlyCareers@swin.edu.au.


Applications close at 5pm, Tuesday 2nd July 2019.