Optimising Push Notifications for Enhanced User Engagement
Engineering, IT, Mathematics and Statistics
PLEASE NOTE
- As this research internship is carried out in partnership with the University of Melbourne, only candidates from the University of Melbourne will be considered.
ABOUT THE INDUSTRY PARTNER
The Australian Broadcasting Corporation (ABC) is Australia’s national public media service. Providing news, information and entertainment that appeals to different ages and interests, and is freely available on all platforms.
WHAT’S IN IT FOR YOU?
- Present insights directly to editorial stakeholders in Australia’s largest Newsroom
- Be trained in and work on a modern data engineering stack: Snowflake, Snowplow, AWS, DBT, Python, and Power BI
- Apply real-world data analysis methods and best practices
- Develop advanced data modelling and dashboard-building expertise
- Enhance Python and Power BI skills for analytics and visualisation
- Strengthen project management and prioritisation through hands-on research projects
- Improve stakeholder management and meeting facilitation
- Gain exposure to decision-making processes in a high-profile media environment
RESEARCH TO BE CONDUCTED
- Identify and evaluate advanced metrics for measuring push notification impact (e.g., session duration, click-through rate, user retention, behavioural differences across referral sources).
- Develop a predictive model or decision framework to recommend optimal notification timing, content, and frequency for maximum engagement with minimal user fatigue.
- Propose and validate a system for ongoing assessment of notification performance, ensuring consistent, data-driven improvements.
SKILLS WISH LIST
If you’re a postgraduate research student and meet some or all the below we want to hear from you. We strongly encourage women, indigenous and disadvantaged candidates to apply:
- Statistical modelling
- Python – Particularly in data transformation and modelling using packages such as Pandas or NumPy
- SQL (Snowflake is what you will be using but any experience with any system is great)
- Working with analytical or relational databases
- Git and coding in a team-based environment
- Data presentation and visualization such as with Power Bi, Tableau
- Experience with large event-based data sets
RESEARCH OUTCOMES
A concise report for news editors who decide on the push notifications, outlining key findings and recommended practices, plus alterations to an existing dashboard showcasing real-time push notification performance and engagement metrics. These deliverables will integrate with existing systems. The final presentation will include high-level insights derived from the research.
ADDITIONAL DETAILS
The intern will receive $3,300 per month of the internship, usually in the form of scholarship payments.
It is expected that the intern will primarily undertake this research project during regular business hours and maintain contact with their academic mentor throughout the internship either through face-to-face or phone meetings as appropriate.
The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.
Please note, applications are reviewed regularly and this internship may be filled prior to the advertised closing date if a suitable applicant is identified. Early submissions are encouraged.
INTERNSHIP CONTACT
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