Research Associate, Social Media Data Analytics
We are currently seeking a Research Associate, Social Media Data Analytics, to join our Department of Business Technology & Entrepreneurship. In this role, you will support a variety of data science related research activities involving investigating and analysing Twitter data. You will play an integral role as part of an agile, dynamic research team, working collaboratively with several other universities.
As the Research Associate, Social Media Data Analytics, you will work on a legacy system and transform an existing application to match the current Twitter data format and build a database backend to facilitate on-going research and data collection. As a result, your expertise in extracting large Twitter data sets and understanding of JSON will be vital. The successful applicant will be able to independently translate requests into actionable results by building machine learning applications and development of complex code to be applied to a variety of quantitative data using multiple coding languages with a preference to Python. In addition, you will draw on your problem solving and assessment skills, along with dexterity working with applications.
About Swinburne University of Technology
Swinburne is a multi-sector university of science, technology and innovation with more than 54,000 students and 5,000 staff globally. We offer postgraduate, undergraduate, vocational education and online education to provide students with a variety of work-relevant pathways. Our mission is to be a world-class university, creating economic and social impact through science, technology and innovation. We aim to deliver future-ready learners, research with impact and innovative enterprise.
Forge strong industry connections, become workplace ready and gain an edge on the competition. Swinburne’s Faculty of Business and Law equips you with the knowledge and skill-set to thrive in the future of business, including the opportunity to conduct impactful research into the changing shape of industry, economy and society.
To be successful in the role, you will have:
- Degree or Masters in Data Science/Analytics, Information Systems, Computer Science, Software Engineering or relevant fields
- Proven track record of working in projects related to health informatics, data analytics, computer science, software engineering or related fields
- Ability to work independently and as part of a research team including in a multi-disciplinary environment
- Expertise in leading analytics software such as Python or similar
A full list of selection criteria is available within the position description.
- Onsite health services
- Private health insurance discounts
- Weekly yoga and Pilates classes
- Discounted annual Myki cards are available to Swinburne staff
To find out more about the extensive range of benefits offered to Swinburne employees please visit Employee Benefits
How to apply and further information
Please submit your application by clicking on the ‘Apply’ link, and submit a resume, cover letter and a response to the Key Selection Criteria, as listed in the position description. For further information about this position, contact Dr Suku Sukunesan, Senior Lecturer, Department of Business Technology & Entrepreneurship via email at [email protected]
If you are experiencing technical difficulties with your application, please contact the Recruitment team on [email protected]
Should you require further support for an interview due to special needs or consideration, please contact Jessie Macintyre, Director (Employee Experience) at [email protected] For support or queries related to Aboriginal and Torres Strait Islander employment, please contact [email protected]
Swinburne is a large and culturally diverse organisation. We are proud of our commitment to equity and inclusion through key initiatives such as our Charter of Cultural Diversity, [email protected] Strategic Action Plan, Science in Australia Gender Equity (SAGE) Action Plan and our Reconciliation Action Plan. Equity and diversity are integral to our 2025 vision to be a world class university creating social and economic impact through science, technology and innovation.
Applications close at 5pm on Wednesday, 8 July 2020
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