Collect, wrangle and process data from a variety of sources including open data repository, social media and sensitive data made available to the Housing Analytics Lab project.
Develop and undertake data analytical techniques to understand new insights into city form and function using spatial data, open data, big data and thick data.
Conduct oral presentations relating to the research.
Provide peer review and editing support as a member of the research team and when requested by the Director.
Requirements
PHD or experience in related discipline – data science, modelling and simulation, computer science, geomatics and/or actuarial.
Expertise and skills in data analytical techniques including geoprocessing, spatial-statistics, big data analytics, spatial data mining and data visualisation.
Experience in applying artificial intelligence, machine learning algorithms, national language processing and other data mining techniques to big (ideally city) data.
Advanced computer programming skills in particularly using languages to work with big data including languages such as, python and R.
To be successful you will hold Australian Working Rights or Australian Citizenship. Visa sponsorship is not available for this appointment.
Benefits
Flexible Working Options (work from home, flexible hours etc)
Career development opportunities
17% Superannuation contributions and additional leave loading payments
Additional 3 days of leave over Christmas period
Discounts and entitlements (retail, education, fitness)
Notes
For questions related to the position please contact Persa Tzakis, Interim, Recruitment Manager at p.tzakis@unsw.edu.au.
Applications will not be accepted if sent to the contact listed above.
UNSW reserves the right not to proceed with any appointment.
