Neuroimaging Informatics Fellow

Swinburne Neuroimaging (SNI), in the Centre for Mental Health & Brain Sciences (CMHBS), is a key research facility at Swinburne University of Technology and a node of the Australian National Imaging Facility (NIF), an Australia-wide collaborative network of world-class imaging infrastructure funded under the National Collaborative Research Infrastructure Strategy (NCRIS). Reporting to the Director of SNI, the Neuroimaging Informatics Fellow, co-funded by the NIF and Swinburne University, is the principal SNI scientist responsible for developing and supporting innovative and robust data informatics systems for MRI, MEG and EEG users at Swinburne and across the NIF network.

The Informatics Fellow will take a lead role in developing and supporting national capabilities in Open Science standards for neuroimaging data analysis and data sharing. The position will have the following principal roles: (i) developing and supporting innovative data analysis platforms 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 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 be expected to work with the university ITS and administration of the OzStar HPC system to ensure excellence in data management and analysis systems for all facility users. The incumbent will carry out appropriate activities to maintain and develop their scholarly, research and/or professional expertise.

**About You**
To be suitable for this role you will need to have experience in the below key accountabilities:

- 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, data management and analysis.
- Experience with Linux, distributed and high performance computing (SGE, SLURM), preferably in the context of neuroimaging data analysis.
- Advanced knowledge of high-level computing languages (eg. Python, C, Matlab, R)
- Demonstrated ability to plan effectively, be proactive and solve problems in a constructive manner.

**Qualifications**
- An earned doctoral qualification in science, in an area related to numerical and scientific computing, preferably in the context of neuroimaging.

**About Swinburne University of Technology**
Swinburne is a research-intensive dual sector university of technology. With our strategic plan, Horizon 2025, we choose to build Swinburne as the prototype of a new and different university - one that is truly of technology, of innovation and of entrepreneurship; and, we’re proud of it We are committed to a differentiated university proposition in education, research, and innovation so that:

- Every Swinburne learner gets a work experience
- Every Swinburne graduate gets a job
- Every Swinburne partner gets a tech solution
- Swinburne is the prototype of global best practice

The achievement of our 2025 moon shots is underpinned by our values, where our people are empowered to work together to build a better future.

**To Apply**
Please submit your CV and cover letter addressing your suitability for this position.

To review the Position Description and to apply, please scroll down to the bottom of the page.

If you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to Swinburne’s Jobs website to access the Position Description at the bottom of the page.

**Applications Close: Sunday January 7th at 11PM**

Swinburne offers flexible working options, leave and parenting/carer policies to support work life balance.

**Equity and Diversity**
Swinburne is a large and culturally diverse organisation and we are proud of our commitment to equity, diversity and inclusion through key initiatives. For further information on all our initiatives visit our Equity & Diversity website.

We welcome and encourage applicants from diverse backgrounds to apply.

**Aboriginal and Torres Strait Islander Applicants**

Victoria’s Commitment to Action: Improving international student employment outcomes
- We are a 2023 Circle Back Initiative Employer - we commit to respond to every applicant._