Gravitational Wave Data Science Support Leader

Swinburne University of Technology

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Education & Training

Full-time, 4 year fixed term position, salary from $113,834 + 17% super
Vacancy Type
Work type


About the job
In this Gravitational Wave Data Science Support leadership role you will be part of a team ensuring the successful delivery of high-performance computing and data science programs, with a particular focus on the data processing and management needs of gravitational wave astronomers. Swinburne has a strong track record of leadership in academic supercomputing and is now involved in a program funded through the National Collaborative Research Infrastructure Scheme (NCRIS) to provide Astronomy Data and Computing Services (ADACS) to the national astronomy community. You will play a key role in establishing and growing a new Gravitational Wave Data Centre at Swinburne as an extension of this ADACS program, in close collaboration with the six institutes that form the OzGrav Centre of Excellence for Gravitational Wave Discovery: the Australian National University, Monash University, University of Adelaide, University of Melbourne, Swinburne and University of Western Australia. You will be part of an exciting and diverse team of software engineers and high-performance computing experts, with daily interaction with researchers pushing the boundaries of gravitational wave science and a personal investment in future discoveries.

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. You will take the lead on managing the relationship between the OzSTAR supercomputing environment at Swinburne and gravitational wave data and computing requirements: primarily the streaming and processing of data from the Laser Gravitational wave Observatory (LIGO) and VIRGO. Key responsibilities will include project management and a combination of software engineering and testing, research and development activities and training. Working closely with the OzGrav Centre of Excellence for Gravitational Wave Discovery, you will work both independently and directly with other members of the support programs as well as with members of the astronomy community. 

About Swinburne
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 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 a demonstrated understanding of the data and computing needs (and challenges) relating to gravitational wave astronomy;
  • 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

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.

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:

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

If you are experiencing technical difficulties with your application, please contact the Recruitment team via

Position number: TBD
Applications close at 5pm on Monday 29 April 2019


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