Research Fellow (Level BRF)

• Open to Australian Aboriginal Peoples and UniSA employees only
• Full-time, fixed term contract until 6 June 2026 based in Education Futures at City West campus
• Commencement Salary: $109,074 per annum (plus 17% superannuation)

Reporting to the Executive Dean, Education Futures, you are responsible for the development of data-driven solutions that inform and lead to improve student learning outcomes and associated performance metrics using artificial intelligence and learning analytics.  

In collaboration with staff from the Centre for Change and Complexity in Learning (C3L), the role will develop statistically grounded interventions and methods to provide staff and students with timely information and feedback to facilitate student success outcomes.  

The University of South Australia is Australia’s University of Enterprise. Our culture of innovation is anchored around global and national links to academic, research and industry partners. Our graduates are the new urban professionals, global citizens at ease with the world and ready to create and respond to change. Our research is inventive and adventurous and we create new knowledge that is central to global economic and social prosperity. 

• Develop novel artificial intelligence and learning analytics methods to identify underlying patterns 
• Extract information from multiple sources to devise data-driven solutions that improve student learning outcomes 
• Collaborate with the C3L Data Science Team to develop data pre-processing and analysis methods to analyse UniSA learning data 
• Supervise HDR students and research assistants working on C3L-related projects within the staff members’ area of expertise 

• PhD qualification in a relevant discipline (e.g. artificial intelligence, data science, statistics, computer science, learning analytics or educational data mining) 
• Experience in analysing and reporting on student learning data
• Experience using cloud-based infrastructure (e.g., Microsoft Azure or AWS) and Python and R programming languages to analyse educational data 
• Demonstrated experience in learning analytics, educational data mining and artificial intelligence in education, with the ability to use technical skills to find solutions to unidentified problems 

Getting a great job working with the best is just the start. UniSA rewards its staff with a wide variety of benefits such as:  

• Access to great personal development opportunities  
• Generous superannuation contributions of 17%  
• Flexible working conditions including 40% working from home 
• Staff study support  
• A variety of leave arrangements 

The online application form will list the specific selection criteria that you need to address.   

Please address your cover letter to

. For further information about the position or the recruitment process, please contact UniSA Recruitment Central on +61 8 8302 1700 or via email at  

  using job reference number

.  

To be eligible to apply for internal positions, you must either identify as an Australian Aboriginal Person, or be a current UniSA continuing, fixed-term or casual staff member at the time the position is advertised and have the legal right to work in Australia for the term of the appointment. 

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Applications must be lodged online, please note UniSA does not accept applications via email.

UniSA is committed to developing a diverse workforce and a constructive enterprising culture in which everyone can thrive.

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