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SimonMed Imaging

Associate Lecturer - MKTG1535 Artificial Intelligence in Marketing (HE7)

Healthcare Administration
Pay & benefits for this position
Requirements
5+ years experienceEvenings
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Position Details

Hospital System
SimonMed Imaging
Specialty
Healthcare Administration
Posted
2026-09-07
Applications close
2026-10-11
Job ID
JR101333

Description

Artificial Intelligence (AI) has critical implications for many aspects of marketing. While generative AI tools have become popular among end-users, AI has many uses that may not always be seen or understood by consumers. AI has the potential to empower creative marketing practices, predicting future trends, and even personalisation at broad scale.

Through this course, students will explore the broad-reaching implications of AI for marketers, beginning with defining the different types of AI and their applications. Learning practical tips for maximising the value of AI for marketers, while navigating relevant ethical and privacy concerns that AI raises. Job RequirementsPossess a Master’s Degree or professional qualification in the relevant discipline.5 years of relevant work experience will be an added advantageAt least 2 years of relevant teaching experience at the tertiary level would be a plus.

Must be available to conduct a weekly 3-hour lecture for a period of 9 weeks. Must be available to teach classes during the weekday or Saturday between 8.30AM and 6.30PM and/or weekday evenings from 7pm - 10pmMust be able to handle sizeable class, grade assessments and provide constructive feedback to students within a given timeline. We regret that only shortlisted candidates will be notified.

SIM-RMIT is looking for associates who are dedicated, highly motivated and possess a strong passion for teaching and shaping the minds of the young generation. Candidates must be able to handle a sizeable class, manage assessment marking and provide constructive feedback to students within a given timeline. Associates will work closely under the guidance of the course coordinator based in the partner university.

We regret that only shortlisted candidates will be notified.

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