Astronomy Data Science Program Coordinator

Swinburne is a progressive university that aims to increase Australia’s capacity in science, technology and innovation as the drivers of modern, internationalised economies and workplaces. Our university is focused on high-impact global research, high-quality teaching and active engagement with both industry and the community.

About the job
In this Astronomy Data Science Program Coordinator role, you will be part of a team ensuring successful delivery of high-performance computing and data science programs. Funded primarily through the National Collaborative Research Infrastructure Scheme (NCRIS), these programs include the provision of Astronomy Data and Computing Services (ADACS) to the national astronomy community and a range of projects related to the supercomputing capability at Swinburne. You will be take the lead on coordinating these programs while exploring opportunities to secure and develop new projects.

In this role, you will ensure the timely delivery of key software and infrastructure development projects, taking a hands-on approach where necessary and demanding high-quality outcomes. Your responsibilities will include project management and a combination of software engineering and testing, research and development activities and training. Working closely with aligned activities within the Swinburne Data Science Research Institute, you work both independently and directly with other members of the support programs as well as with members of the astronomy community.

About you
To be successful in the role, you will:

• be an impressive individual with a passion for implementing professional data science and high performance computing methodologies to enhance astronomy research outcomes;
• be a proven leader with a commitment to excellence;
• have a degree in computer science, software engineering or information technology with relevant experience or an equivalent combination of relevant experience and/or education/training within an astronomy context;
• have extensive experience in software development including advanced or expert-level software programming skills;
• have a demonstrated ability to deliver software development (or closely related) projects on time and on budget with successful end-user outcomes.

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

Benefits
The diverse culture within Swinburne is a source of strength. We have an inclusive working environment with employees from a variety of backgrounds. We acknowledge that diversity in the university workforce increases the effectiveness of teams and our capacity for innovation. We welcome applications from Indigenous people, workers of all ages, people with disabilities, people who identify as LGBTIQ and those from culturally and linguistically diverse backgrounds.

We are proud to be recognised by the Workplace Gender Equality Agency as an Employer of Choice for Gender Equality 2015 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.

At Swinburne we recognise the need to support the work/life balance and flexible needs of our staff. As such a range of flexible working arrangements including paid maternity/partner leave, onsite childcare, working from home and part time options are available. You will have access to many benefits such as career development opportunities including 50% study reduction and staff and management development programs. You will receive up to 17% employer contributions (pension) and various discounts on annual Myki cards, private health insurance and movie tickets.

To find out more about the extensive benefits offered to Swinburne employees please visit: http://www.swinburne.edu.au/about/jobs/why-work-at-swinburne/

How to apply
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 full name Professor Jarrod Hurley (Professor, Supercomputing Manager) via jhurley@swin.edu.au.

If you are experiencing technical difficulties with your application, please contact the Recruitment team on +61 3 9214 8600 (option 2).

Position number: 30760
Applications close at 5pm on Friday 30 November 2018