EOI: Sessional/Casual Teaching Academic for Data Science

at  University Of Technology Sydney

Due to the rapid growth and increased popularity of our Data Science and Innovation program, a number of casual / sessional teaching roles (subject coordinator, lecturer and tutor) are available for the program at TD School. We are seeking expressions of interest from appropriately qualified and professionally experienced candidates to teach our data science subjects on a casual basis. To be considered for the position, applicants must meet the following criteria:

• A Master’s degree or above in Computer Science, Machine Learning, Statistics, or Data Science;
• Experience in teaching data science relevant subjects (proper training will be provided to get familiar with our teaching materials and methods);
• Ability to work independently and collaboratively with others;
• Ability to deliver classes in different innovative delivery modes include face-to-face, hybrid, block, and online;
• Experience delivering interactive and engaging classes
• Demonstrated commitment and ability to communicate effectively with students and answer students queries in a timely manner;
• Experience Co-ordinating subjects is an advantage.
• Experience coordinating subjects and developing teaching materials is an advantage.

Pay rates will depend on the position classification and experience level.
We are looking for candidates with relevant expertise and experience to teach 8cp, 4cp and 2cp subjects in the UTS Master of Data Science and Innovation program. Expertise in in ‘36104 - Data Visualisation and Narratives’ highly sought.
Interested people should refer to the UTS handbook for more details of these subjects: https://coursehandbook.uts.edu.au/course/2025/c04372.

Please submit your application via our online system, attaching your resume and your and expression of interest statement. The expression of interest statement must outline the following:

• Your skills and experience;
• Which subjects you are interested in;
• Which days and nights you are available (our classes are mostly in weekday evenings and Saturdays, but some enterprise learning is delivered during business hours).

Only those applications submitted via the UTS online recruitment system will be accepted. If you are a current UTS staff member, for help on how to apply through NEO please click here.
Please ensure that the file name for each document submitted includes the relevant reference number IRC302060 and your name.
Successful Expressions of Interest will be kept in our casual academic pool and may be contacted when a vacancy is available. Review of the Expressions of Interest will be on a continuous basis.
Specific enquiries or issues with your application may be directed to Marie Hetherington in the UTS Recruitment Team via recruitment@uts.edu.au