About the Role

You contribute to cutting-edge research in learning sciences, artificial intelligence, quantitative ethnography, and learning analytics across various educational environments, including K-12 and higher education. You will focus on developing data-driven solutions that improve student learning outcomes by leveraging artificial intelligence, learning analytics, and learning sciences. Working collaboratively with academic and industry partners, you will develop innovative methodologies and tools, and analyse complex datasets to uncover key drivers of student success, engagement and equity.

About UniSA

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.

Core Responsibilities

• Develop and apply artificial intelligence, quantitative ethnography, and learning analytics techniques to uncover patterns in student engagement and learning outcomes
• Analyse educational data to generate actionable insights that inform and improve student engagement, learning outcomes, and instructional design
• Contribute to learning analytics initiatives by designing and implementing AI-driven interventions that personalise learning experiences and optimise educational outcomes
• Develop automated models that support adaptive learning, formative feedback, and targeted educational interventions
• Collaborate with academic and industry partners to integrate AI-driven interventions into learning environments and support their deployment at scale

Essential Skills and Experience

• A PhD in a relevant discipline (e.g., artificial intelligence, data science, statistics, computer science, learning engineering, learning sciences, learning analytics, or educational data mining) with demonstrated experience in analysing and interpreting student learning data
• Strong knowledge of education theory, as well as quantitative and qualitative research methodologies applicable to learning analytics and AI-driven educational interventions
• Experience with generative AI-driven methods for processing educational data
• Proven expertise in learning analytics, educational data mining, and artificial intelligence in education, with the ability to develop or support the development of data-driven solutions for enhancing student engagement and learning outcomes
• Excellent analytical skills and proven ability to translate observations into shared knowledge

Benefits

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

• Generous superannuation contributions of 17%
• Flexible working conditions
• Employee assistance and development programs
• A range of salary packaging options, including vehicle leasing, laptops and car parking fees
• Corporate health insurance

Culture

At the University of South Australia, we value workplace diversity and are committed to providing a supportive, inclusive, and respectful work environment for all people. We strongly encourage applications from Aboriginal and Torres Strait Islander Peoples, women, members of the LGBTIQ+ community, people of culturally diverse backgrounds and people with disability.

Start Your Unstoppable Career!

For a copy of the position description and to apply, please visit Working at UniSA. The online application form will list the specific selection criteria that you need to address.

Please address your cover letter to Kendelle Newby, Consultant: Recruitment Central. For further information about the position or the recruitment process, please contact UniSA Recruitment Central on +61 8 8302 1700 or via email at [email protected] using job reference number 7131.

Applications close: 11.30pm Tuesday 13 May 2025

We are committed to providing an equitable and barrier free recruitment process and encourage you to share any support, adjustments and/or access requirements you have by contacting our Recruitment Central team on [email protected]. Anything you tell us will be kept completely confidential.