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Lecturers: Data Science
3 weeks ago
**Join our lecturing team for Trimester 2 beginning in July**:
- **Ongoing lecturing work available for strong performers**:
- **After three trimesters, be eligible for a permanent part-time position**
**Role**
Kaplan Business School - one of the highest-quality providers of higher education in Australia - is seeking Lecturers in Adelaide, Brisbane, Melbourne, Perth and Sydney for the following areas:
- Data Management and Storage
- Time-series Forecasting
- Machine Learning and Artificial Intelligence
**Responsibilities**
- Facilitate engaging and highly interactive workshops
- Mark assessments promptly and provide comprehensive feedback
- Foster professional and productive student/teacher relationships
- Provide regular support and consultation to students
**Requirements**:
- A doctoral-level qualification or a Master’s-level qualification coupled with extensive industry experience. _Must be directly relevant to one of the areas listed above_
- Qualifications and experience in AI, machine learning, or data science
- Strong skills in Python and R. Experience with TensorFlow and PyTorch would be an advantage
- An understanding of SQL commands and data storage environments
- An appreciation of the distinction between lecturing and educating
- Sensitivity to the needs of international students
- Comprehensiveness and thoughtfulness when marking assessments
- Ability to meet tight academic deadlines
**Kaplan Business School**
Kaplan is one of the world’s leading providers of lifelong education, helping over one million students around the globe achieve their educational and career goals each year. In Australia, Kaplan Business School is an award-winning institute of higher education recognised globally for student support and quality education with undergraduate and postgraduate courses in business, accounting, marketing, management, tourism, entrepreneurship, health services, information technology, digital management, analytics, project management and leadership.
**Job Types**: Part-time, Permanent
