Employment Type: 12-month fixed term full timeRemuneration: Level A: $88,290 - $117,718 (plus 17% superannuation and leave loading)Location: Kensington NSWWhy your role matters: The City Futures Research Centre was established in 2005 to undertake research aiming to develop a better understanding of our cities, their people, the policies that manage their growth, the issues they face and the impact they can make on our environment and economy.
The Centre is hosted by the Faculty of Arts, Design and Architecture and is based at the University of New South Wales, Kensington campus.
Please refer to the City Futures Research Centre website, located at cityfutures.ada.unsw.edu.au.
The Postdoctoral Fellow (Urban Analytics) will be a pivotal member of the Housing Analytics Lab (HAL) and the 'Rental Vulnerability in Australia' project, along with other exciting funded initiatives, focusing on analyzing spatial, demographic, and administrative data, developing urban models, creating data visualizations, and implementing AI and machine learning algorithms, all centered on housing data and analytics across Australia, within the innovative environment of the City Future Research Centre.
This position is being offered as full time, with a flexible blend of working remotely and from the vibrant UNSW Kensington Campus.
This role reports to the Centre Director and will work with a dynamic team of data scientists, modellers and computer scientists to deliver a world-class data-driven urban analytics toolkit for Australia.
Accountabilities include: Understanding the housing pipeline through collecting and analyzing planning approval data using spatial analysis techniques and artificial intelligence;Undertaking urban analysis and modelling using tools such as the What if?
Planning Support System to explore future urban growth scenarios of cities and regions;Assisting in the sourcing of data and undertaking data cleaning, analysis, and visualization for the 'Rental Vulnerability in Australia' project;Conducting oral presentations relating to the research;Providing peer review and editing support as a member of the research team and when requested by the Director;Writing project reports to disseminate research outcomes.About you: Your skills and experience include: PhD or experience in a related discipline – data science, modelling and simulation, computer science, geomatics, and/or actuarial;Expertise and skills in data analytical techniques including principal component analysis, geoprocessing, spatial statistics, big data analytics, spatial data mining, and data visualization;Experience in applying artificial intelligence, machine learning algorithms, natural language processing, and other data mining techniques to big (ideally city) data;Advanced computer programming skills, particularly using languages to work with big data including Python and R.To be successful, you will hold Australian Working Rights or Australian Citizenship.
Visa sponsorship is not available for this appointment.
To view the comprehensive list of responsibilities and skills and experience, please refer to the position description.
A copy of the position description can be found below the job advert on JOBS@UNSW.
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We recognise it is the contributions of our staff who make UNSW one of the best universities in Australia and the world.
Our benefits include: Flexible Working Options (work from home, flexible hours, etc.
)Career development opportunities17% Superannuation contributions and additional leave loading paymentsAdditional 3 days of leave over the Christmas periodDiscounts and entitlements (retail, education, fitness)How to Apply: Make each day matter with a meaningful career at UNSW.
Submit your application, upload your CV, and include a 1–2-page cover letter addressing how your skills and experience align with this position.
Applications close on Sunday, 19th January 2025 at 11:30pm Sydney Australia.
Get in touch: For questions related to the position, please contact:
Persa TzakisInterim, Recruitment Manager Please apply online - applications will not be accepted if sent to the contact listed above.
Due to the university shutdown, there may be a delay in our response to your query.
We will get back to you as soon as we return.
UNSW is committed to equity, diversity, and inclusion.
Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community, and people of Aboriginal and Torres Strait Islander descent, are encouraged.
UNSW provides workplace adjustments for people with disabilities and access to flexible work options for eligible staff.
The University reserves the right not to proceed with any appointment.
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