Lecturer in Accounting Analytics — Flexible, AI‑Driven Teaching

Opportunita; Sydney; On-site; AUD 118,000 - 141,000; Full time

Benefits offered by this job

Up to 17% superannuation

Job summary

The University of the Sunshine Coast seeks a Lecturer in Accounting Analytics for a full-time, ongoing role on its Sunshine Coast campus. This position focuses on integrating artificial intelligence, automation, data science, and business intelligence into accounting education.

The ideal candidate will have expertise in contemporary accounting systems, financial analytics, and digital technologies, including Python or SQL, and will deliver high-quality teaching while supervising HDR students and

Qualifications

• Experience integrating AI, automation, data science into accounting education.
• Proficiency in Python, SQL and related data-analytic tools.
• Ability to deliver high-quality teaching and supervise HDR candidates.
• Strong research capability with peer‑reviewed publications.
• Commitment to inclusive, student‑centred learning.

Responsibilities

• Deliver high-quality teaching across Accounting and Analytics.
• Develop, evaluate and improve curricula with AI and data science.
• Design technology‑enabled learning experiences and provide feedback.
• Undertake applied research and supervise HDR candidates.

Skills

Data analytics

AI in accounting

Programming (Python, R, SQL)

Teaching excellence

Education

Postgraduate qualifications in higher education

Fellowship of AdvanceHE

Chartered Accountant accreditation (Desirable)

Tools

Python

R

SQL

Job description

The University of the Sunshine Coast seeks a Lecturer in Accounting Analytics for a full-time, ongoing role on its Sunshine Coast campus. This position focuses on integrating artificial intelligence, automation, data science, and business intelligence into accounting education.

The ideal candidate will have expertise in contemporary accounting systems, financial analytics, and digital technologies, including Python or SQL, and will deliver high-quality teaching while supervising HDR students and