Research Associate/Post-Doctoral Research Fellow – Urban Analytics City Futures Research Centre

• Employment Type: 12-month fixed term full time
• Remuneration: Level A: $88,290 - $117,718 (plus 17% superannuation and leave loading)
• Location: Kensington NSW

Why your role matters:  

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 Faculty of Arts, Design and Architecture and is based at the University of New South Wales, Kensington campus. Please refer to 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 Centre Director and will work with a dynamic team of data scientists, modellers and computer scientist to deliver a world class data driven urban analytics toolkit for Australia.

Accountabilities include

• Understanding the housing pipeline through collecting, analyzing planning approval data using spatial analysis techniques and artificial intelligence; 
• Undertake urban analysis and modelling using tools such as the What if? Planning Support System to explore future urban growth scenarios of cities and regions;
• Assist in the sourcing of data and undertake data cleaning, analysis and visualisation for the ‘Rental Vulnerability in Australia’ project;  
• 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;
• Write project reports to disseminate research outcomes

About you

Your skills and experience include:

• 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 principal component analysis, geoprocessing, spatial- statistics, big data analytics, spatial data mining and data visualization;
• 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.

To view the comprehensive list of the responsibilities and the 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.

About UNSW

UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing great things. But what makes us different isn’t what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do.

Benefits: 

People are at the core of everything we do. 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 opportunities 
• 17% Superannuation contributions and additional leave loading payments 
• Additional 3 days of leave over Christmas period 
• Discounts 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 to 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 Tzakis

Interim, Recruitment Manager

p.tzakis@unsw.edu.au
 
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 disability and access to flexible work options for eligible staff.

The University reserves the right not to proceed with any appointment.