Postdoctoral Research Associate in Educational Data Science

• Full time, fixed term for 2 years

• Located at the School of Computer Science, Camperdown Campus

• Base Salary $108K p.a., + 17% superannuation 

About the opportunity

Established as the first computer science department in Australia, the School of Computer Science (SCS) is research intensive and has a strong tradition of research-led teaching. The School offers undergraduate majors in computer science,  cyber security, data science and software development within its flagship Bachelor of Advanced Computing degree and combined degree programs with commerce and science. SCS is one of the seven schools in the Faculty of Engineering, which has a strong position within Australia and worldwide. To learn more about the School click here

We are currently seeking to appoint a Postdoctoral Research Associate to join the Human-Centred Data Science for Education and Health group. The successful candidate will work with Professor Kalina Yacef on a range of Artificial Intelligence in Education (AIED) and Educational Data Mining (EDM) projects focused on how data from online teaching tools and sensors can be harnessed to improve learning, such as generating smart personalised feedback, analysing learning behaviours from multimodal learning data and distilling patterns via learning dashboards. In this role you will conduct high-quality research, lead or contribute to publications and research grant submissions, participate actively in the supervision of research students (PhD and Honours) and support the technical aspects of the projects.

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate in Educational Data Science who has:

• A PhD (or in near completion) in the relevant fields of Artificial Intelligence, Machine Learning, HCI.

• demonstrated contributions to publications in top tier conferences and journals in data mining/machine learning, Artificial Intelligence in Education and Educational Data Mining, Human-Computer Interaction.

• Strong technical expertise in data mining, data management, and machine learning.

• motivation to conduct interdisciplinary work and engage with researchers from other fields.

• experience in conducting research/scholarly activities under limited supervision and as part of a research team.

• demonstrated ability to contribute to publications, grant writing and other project outputs.

• excellent communication skills in English (both written and oral).

To apply for this position, please address the above criteria in a cover letter and attach to your application.

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds.

How to apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.  

If you are a current employee of the University or a contingent worker with access to Workday, please login into your Workday account and navigate to the Career icon on your Dashboard.  Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact Rebecca Astar or Cherie Goodwin, Recruitment Operations, at recruitment.sea@sydney.edu.au

© The University of Sydney

The University reserves the right not to proceed with any appointment.

Click to view the Position Description for
this role.

Applications Close