Address
Form of work
SalaryAre you looking to deliver applied research that will transform the delivery of care to Australians? Are you looking a role that is centred on impact and delivery of real-world data innovation, but without the overhead of a teaching load? Would you like to join an award-winning team of data scientists at Australia's best young university, led by Eureka Prize winner and Women in AI awardee, Fang Chen?
The UTS Data Science Institute within the Faculty of Engineering and IT (FEIT) are seeking a passionate data science leader delivering machine learning and data-driven solutions in the health space, with a particular focus on translating health sensing and patient journey data into tools and systems that deliver value for both care providers and care recipients. You will be working closely with care providers, sensor technologists, health technology businesses, and data science and AI experts.
The is a collaborative impact-focused data science group delivering change for both industry and the wider community. The Institute delivers integrated applied research, linking preliminary data analytics, data engineering and innovative data science. We deliver practical, innovative solutions to solve real-world challenges.
In order to address the underrepresentation of female Academic staff in STEM, UTS was granted an exemption under section 126 of the Anti-Discrimination Act 1997 (NSW) (ADA) to conduct targeted recruitment programs. In accordance with this exemption, only applications from female candidates will be considered for these roles.
This aligns with a wider UTS commitment of increasing representation of women in STEMM academic positions (targeting at least 40% of roles) and the which fosters a network of passionate people who are actively involved in the development of our next generation of young Engineering and IT professionals.
Detailed Description
About the role
The UTS Data Science Institute is looking to recruit Senior Research Fellow to be part of collaborative CRC-P project and other health initiatives. The work will be focused on the delivery of improved triaging and health monitoring for older Australians through better utilisation of skin-contact wellbeing sensors and the development of insight into care recipient/patient journeys.
The Senior Research Fellow, will design and deploy machine learning algorithms to translate wellbeing sensor data streams and related static data assets into quantitative health risk estimates, particularly with respect to urinary tract infections, and classify and forecast the ways in which people move through the Australian health system.
About you
As a Senior Research Fellow, you will have demonstrated project management skills and expertise in data science and machine learning. You will have strong interpersonal skills and the ability work closely with industry and external academic partners in the delivery of practical impact-focused research in a high-paced delivery environment.
To be successful in this role you will have:
- PhD in Computer Science or equivalent industry experience
- Successful record of research achievement, particularly in the delivery of research with external partners and focused on real-world impact
- Deep experience in machine learning, data engineering and data science
- Familiarity with the health sector and, ideally, the aged-care and indigenous healthcare spaces
- Ideally, familiarity with the use of streaming data from health sensors or IoT devices
Remuneration/Salary
Remuneration & Benefits
Base Salary Range: $136,526 to $156,789 pa (Level C). This role attracts 17% superannuation (pension) in addition to the base salary.
This position is full-time and appointment will be made on a fixed term basis for 24 months.
UTS staff also benefit from a wide range of include flexible work practices, child care centres, generous parental leave and salary packaging opportunities.
