Research Fellow, Department Of Computing Technologies

• Full time, fixed term (12-months) position at our Hawthorn campus
• Academic Level B salary plus 17% super and benefits with flexible working options

About the Role
The Department of Computing Technologies are seeking a Research Fellow to undertake research within the ARC supported project "Intelligent Geo-Located Data Exploration".
In this role you will make original and innovative contributions to designing, developing and implementing an intelligent geo-located data exploration framework and its enabling techniques (e.g., online learning and interpretation of personal preferences and intelligent exploration of points/areas of interests) to allow the user with little domain knowledge in data and query as well as indeterminate intentions to be capable to effectively and efficiently explore the data in an interactive and interpretable way. You will also contribute to implement and evaluate a proof-of-concept system.
As part of Swinburne's Intelligent Data Analytics Lab, the Fellow will collaborate with researchers from multiple disciplines, e.g., data science, machine learning and optimisation, and have access to Swinburne's supercomputers like OzSTAR (featuring 230 NVIDIA P100 GPUs) and Ngarrgu Tindebeek (featuring 88 NVIDIA A100 GPUs).
About You
To be suitable for this role you will need to have experience in the below key accountabilities:

• A strong publication record in top-tier journals and/or conferences, particularly in the areas of spatial data management, recommendation systems, machine learning, optimisation, data mining, and/or algorithm design with theoretical analysis
• Previous experience in working in a multi-disciplinary team with people from academia, governmental sectors and/or industries
• Decent knowledge and skills in spatial data management, recommendation systems, and machine learning
• Evidenced experiences in spatial data management system building and/or HCI system building

Qualifications
PhD in computer science or a related field focused on spatial data management, recommendation systems, machine learning, optimisation, and/or HCI.
About Swinburne University of Technology
Swinburne Horizon 2025 draws upon our understanding of future challenges. With this new strategic plan, we choose to build Swinburne as the prototype of a new and different university - one that is truly of Technology, of Innovation and of Entrepreneurship, and proud of it. We are committed to a differentiated university proposition in education and research, so that:

• Every Swinburne learner gets a work experience
• Every Swinburne graduate gets a job
• Every Swinburne partner gets a tech solution
• Swinburne is the prototype of global best practice

The achievement of our 2025 moon shots depends on our capacity to work collectively, always, as One Swinburne.
To Apply
Please submit your CV and cover letter addressing your suitability for this position.
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Please Note: Appointment to this position is subject to passing a Working with Children Check.
If you are experiencing technical difficulties with your application, please contact the Swinburne Talent Acquisition Team on .
Applications Close: Sunday 21 January 2024, 11.00pm (ADST)
Swinburne offers flexible working options, leave and parenting/carer policies to support work life balance.
Equity and Diversity
Swinburne is a large and culturally diverse organisation and we are proud of our commitment to equity, diversity and inclusion through key initiatives. For further information on all our initiatives visit our .
We welcome and encourage applicants from diverse backgrounds to apply.
We are committed to making the recruitment process fair and equitable for all our candidates. If you have specific accessibility or support requirements please contact
Aboriginal and Torres Strait Islander Applicants
We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.
For any support please contact or for more information on our Indigenous strategies please follow the link to our RAP .
Victoria's Commitment to Action: Improving international student employment outcomes
As a signatory to , Swinburne seeks to remove barriers to international graduate employment. We welcome and encourage applications from international graduates.
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