Lecturer in Computer Science and Programming

The Hiring House; Durban; On-site; ZAR 400 000 - 600 000; Full time

Job summary

An educational institution in Durban seeks a passionate lecturer in Computer Science and Software Development. You will teach at undergraduate and postgraduate levels, mentor students, and support lecturer development initiatives. Suitable candidates should have teaching experience and an honours degree in a relevant field. This role fosters a culture of scholarship and academic excellence while using technology to enhance learning.

Qualifications

• 3 years teaching experience in programming or software development is advantageous.
• Experience as a software developer, AI / ML engineer, or cloud solutions architect is valued.
• Registration towards a Master's degree is required.

Responsibilities

• Teach and inspire students in Computer Science and Software Development.
• Assist in lecturer development and support processes.
• Mentor and support students to achieve academic success.
• Promote a culture of scholarship within their discipline.

Skills

Superior communication skills

Organisational skills

Experience with EdTech tools

Passion for teaching

Proven ability to build strong relationships

Education

Honours degree / Postgraduate Diploma in Computer Science

Registration towards a Masters degree

PhD in Computer Science (advantageous)

Tools

C#

.NET

Python

Java

Azure

TensorFlow

SQL

Job description

Lecturing

• Teach and inspire students in Computer Science and Software Development across undergraduate and postgraduate levels, including programming (Java, Python, C#, AI / ML concepts).
• Deliver content in multiple teaching modes and methodologies, including blended learning and constructivism.
• Design and grade assessments, provide constructive feedback, and moderate academic work where necessary.

Lecturer Development and Support

• Assist in lecturer development and support processes and procedures. This may include conducting peer reviews, facilitating workshops and one‑on‑one consultations.
• Lead and champion academic development initiatives for specific programmes.

Student Development & Support

• Mentor and support students to achieve academic success.
• Identify and implement tailored interventions.
• Track student success and implement support interventions where required.

Research & Scholarship

• The incumbent is required to promote a culture of scholarship within their practice, discipline and campus / team and is also required to contribute towards the company achieving its annual research output targets, particularly in areas like application development, artificial intelligence, data science and cloud computing.
• Foster a culture of continuous improvement and academic excellence.

Competencies Required :

• Superior communication (written and verbal) and organisational skills.
• Demonstrated ability to manage work and self‑proactively.
• Able to demonstrate a proven track record of eXective teaching in the subject area based on reflective practice.
• Passion for teaching, mentoring, and inspiring future tech leaders
• Passion for Customer Service.
• Experience with EdTech tools and using technology to enhance learning
• Proven ability to build strong relationships within academic teams

Minimum Education Requirements :

• Honours degree / Postgraduate Diploma (NQF Level 8) in Computer Science, Information Systems, Information Technology or related field.
• Registration (or intention thereof) towards a Masters degree is required.
• A PhD in Computer Science, Information Systems, or Information Technology will be an added advantage.

Work Experience Requirements :

• Having at least 3 years teaching experience in programming or software development would be advantageous
• Having industry experience as a software developer, AI / ML engineer, cloud solutions architect, or mobile app developer will be highly valued

Experience in one or more of the following technologies :

• Programming & Frameworks : C#, .NET (Core, MVC, Blazor), Python, Java, JavaScript (React, Angular, Node)
• Cloud Technologies : Azure, AWS, Google Cloud
• AI / Machine Learning : TensorFlow, PyTorch, Scikit‑learn (advantageous)
• Mobile Development : Android / iOS (React Native, Kotlin, Swift)
• Database Systems : SQL, Oracle, MongoDB, Firebase