Senior Research Fellow in Social Data Analytics
- Be an integral part of our exciting project
- Faculty of Business & Law, Social Innovation Research Institute, Hawthorn Campus
- Academic Level C/D, $115,855 – $153,093 + 17% Super, 3 years fixed term contract
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 social systems. Our university is focused on high-impact global research, high-quality teaching and active engagement with industry and communities.
About the job
As part of our growing investment in the emerging field of social data analytics, we seek to employ one or more researchers with excellent research track records to develop current and new projects; and lead development of a multi-disciplinary team to grow our Social Data Analytics Hub.
A Senior Research Fellow will understand social science and have interest in current and emergent societal challenges (e.g. impacts of social services reform and impacts of automation, AI and IoT in relation to Industry/Society 4.0); and competencies and experience in data analytics techniques and data science. We are open as to specific research focus. It could involve spatial data analytics, social media analytics and/or working with IoT data.
We are particularly focused on further developing our Social Data Analytics Hub which comprises access to social and related data-sets and enables data linkage and application of analytics techniques across data-sets. Using the Hub we explore projects for government, industry, community, NGOs and infrastructure project partners, for example to: establish social attitudes, social impact and social outcomes; explore and understand causal pathways of social conditions; evaluate social data collection systems; and inform development of social data collection. We are particularly interested to apply the Hub to understand emergent impacts of Industry 4.0.
A Senior Research Fellow will work as part of a growing multi-disciplinary team of social scientists, data scientists, developers, communications experts and social network analysts led by Prof Jane Farmer, Director of the Social Innovation Research Institute – and partnering with the Swinburne Data Science Institute, led by Prof Timos Sellis.
As well as contributing to Hub development and working on industry and community-generated research projects, a Senior Fellow will build on their existing research record to develop a theme within social data analytics.
A Senior Fellow in social data analytics will require to be comfortable in an interdisciplinary team, in interacting with industry, community, and NGO partners. The primary expectation of the position is to make original and innovative contributions to the advancement of research in the field. In addition, the position-holder may undertake some teaching as appropriate.
To be successful in the role, you will have:
- An earned doctoral qualification in an area appropriate to the role – e.g. in Data Science, Computer Science, Computer Engineering, GIS or related area using complex computer science techniques in analysis.
- Prior proven significant research experience in complex data integration or large scale data mining, in addition to a proven involvement in at least one of the following: indexing techniques, algorithm engineering, machine learning, real-time data.
- Previous experience with software development for large projects and manipulating large data collections.
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.
We are proud to be recognised by the Workplace Gender Equality Agency as an Employer of Choice for Gender Equality 2017 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).
As a Swinburne staff member 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. We also 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.
To find out more about the extensive benefits offered to Swinburne employees please visit:
Further information, contacts and support
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 Jane Farmer on +61 3 9214 5437 or via email at email@example.com
If you are experiencing technical difficulties with your application, please contact the Recruitment team on +61 3 9214 8600 (option 2).
Should you require further support for an interview due to special needs or consideration, please contact our Diversity Consultant, Dr. Walter Robles, on firstname.lastname@example.org, or our Aboriginal and Torres Strait Islander Employment Officer, Sherrin Trautmann on email@example.com.
Applications close at 5 pm, Wednesday 13th June 2018