The Short Course Unit seeks to appoint a Part-time Lecturer for Foundations of Data Science

Ref: SCU-DS-L01

 Minimum requirements for Part-time Lecturer:

• A completed Masters/M. Tech in Information Technology, Computer Science, Information Security, Information Systems, Statistics, Mathematics or an appropriate associated field. However, Doctorate/PhD candidates would be given higher preference.
• At least 3 years lecturing/ facilitation experience for industry.

Additional Recommendations:

• Research track record (publications in Data Science, Artificial Intelligence, Machine Learning).
• Lecturing experience at a University of Technology or similar.
• Own PC/Laptop with a high-quality microphone and webcam for virtual lectures.
• Strong and stable internet connection for online facilitation.
• Experience in designing data science courses and adapting them to industry needs will be advantageous.
• Industry experience in data science, data visualisation and preparation will be advantageous.
• Advanced Knowledge of Artificial Intelligence
• Advanced Knowledge of Machine Learning
• Experience using RapidMiner/Google CoLab or Jupyter Notebooks

Summary of Duties:

• Teach and facilitate Foundation of Data Science Short Courses targeted at industry.

• Develop and curate course content.
• Assist student queries and provide guidance on practical application of data science, data visualisation and data preparation.
• Practical demonstrations using RapidMiner or related software
• Demonstrate a high degree of competency in digital communication tools, including Microsoft Teams, Google Classrooms, Zoom and Learning Management Systems (LMS).
• Provide mentorship and consultation for students where necessary.

Contact Person: Ms Nelisiwe Msimango

Email:  [email protected]

Status of Position: Part-time contract (6 months)

Applications should include:

• A fully completed prescribed application form which can be obtained from dut.ac.za (under the QUICK LINKS tab à Careers @ DUT à Application for Employment Form)
• A detailed curriculum vitae (CV)/resume (explicitly stating experience or knowledge in the above-mentioned fields)
• Covering letter
• Certified copies of all academic records and certificates
• Current contact information of referees
• Closing date: 22 April 2026 at 16:00.

NB: No manual applications will be accepted and incomplete applications will be disregarded.

Please forward a completed official application for employment form, detailed CV and covering letter with the exact name of the post you are applying for (e.g. SCU-DS-L01 – Foundations of Data Science Lecturer) to [email protected]

Contact Person: Ms Nelisiwe Msimango    Email:  [email protected]

Communication will be entered into with short-listed candidates only.

Only applications made on our application for employment form would be considered.

“While DUT strives for equal opportunities, preference will be in terms of the University’s equity policy.”

“The University reserves the right not to appoint”