Research Associate/post-doctoral Research Fellow

**Job no**: 527273
**Work type**: full time
**Location**: Sydney, NSW
**Categories**: Post Doctoral Research Associate
- **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.

As the** **Research Associate/ Postdoctoral Fellow (Data Scientist) **you will play a key role in the Housing Analytics Lab (HAL) project and other funded projects. In this role you will be working on collecting data, data wrangling, big data analytics, data visualisation and running artificial intelligence and machine learning algorithms, centred upon data and analytics related to housing across Australia.

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.

**A**ccountabilities include**
- 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.

**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 geoprocessing, spatial
- statistics, big data analytics, spatial data mining and data visualisation.
- 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.

**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**:
**Applications close**: Monday, 7th October 2024 at 11:30pm Sydney Australia

**Get in touch**:
For questions related to the position please contact:
Persa Tzakis

Interim, Recruitment Manager

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.

Position Description

**Advertised**: 23 Sep 2024 AUS Eastern Standard Time
**Applications close**: 07 Oct 2024 AUS Eastern Daylight Time