Sessional Academic

Overview

• Sessional Academic
• Based at the Melbourne CBD campus
• Availability: Tuesday and Thursday (09 Am to 1 Pm)
• Start Date: 08 September

The Sessional Academic is responsible for delivering high-quality teaching and academic support aligned with AIA's commitment to student success and professional relevance.

This position supports the learning outcomes of Python embedded units by delivering a range of teaching activities, providing strategic input on subject delivery, and maintaining academic quality through the use of industry-standard tool.

This role involves working collaboratively with academic and professional staff across AIA's network to ensure students receive current, practical, and engaging learning experiences. This includes managing teaching materials within Canvas, engaging in assessment moderation, and ensuring alignment with the subject's learning outcomes and broader program goals.

The position plays a critical role in maintaining the academic integrity and industry alignment of the curriculum and contributes to the student experience through accessible and effective academic delivery. While this is a sessional appointment, the role is integral to AIA's academic standards and teaching excellence.

Responsibilities

• Deliver 6 hours per week of teaching over 6-week block
• Facilitate a combination of lectures, workshops, and tutorials focused on Data Wrangling and Python.
• Support student learning by providing consultations, guidance, and feedback.
• Manage and maintain academic integrity, quality, and professional currency.
• Mark and moderate assessments in accordance with academic policies and standards.
• Collaborate with academic colleagues to ensure alignment with learning outcomes and consistent delivery across cohorts.
• Stay current with data analytics tools, practices, and industry trends to ensure subject relevance.
• Engage in briefings and planning meetings as required by the Academic Dean, Academic Registrar or teaching team.
• Contribute to creating an inclusive, supportive, and engaging learning environment.
• Comply with all academic policies and procedures relevant to teaching and assessment at AIA.

Qualifications / Selection Criteria

• A PhD (or equivalent doctoral qualification) in Data Analytics, Statistics, Business Intelligence, or a closely related field.
• Demonstrated expertise in Python, including practical application of statistical analysis, data modelling, and reporting
• Proven experience in tertiary-level teaching, with the ability to deliver engaging lectures, tutorials, and workshops in both face-to-face and online settings.
• Strong understanding of curriculum design and assessment, particularly in foundational analytics or statistics subjects.
• Demonstrated ability to maintain academic quality and integrity in subject delivery, including learning management systems such as Canvas.
• Effective communication and interpersonal skills, with the ability to engage students from diverse backgrounds.
• A commitment to inclusive and student-centred learning, with a focus on supporting academic success and retention.

Qualifications / Selection Criteria (Desirable)

• Prior experience teaching or coordinating Python embedded units or similar first-year analytics subjects.
• Familiarity with online teaching tools, such as MS Teams, and Canvas-based assessments.
• Experience contributing to subject development or review processes in higher education.

About Analytics Institute of Australia

AIA is an innovative higher education institution, offering contemporary courses that aim to educate tomorrow's entrepreneurs and managers leading to meaningful careers in analytics and business transformation.

https://analyticsinstitute.edu.au

To Apply

Please submit your CV and covering letter addressing your suitability for this position by clicking on the 'Apply' link at the top of this page.

For further information, contact Academic Dean via email at michael.baron@analyticsinstitute.edu.au