Job Description

The successful candidate will teach Mathematics modules and supervise student projects up to the Postgraduate Diploma level in Mathematical Sciences, will contribute to curriculum development in Mathematical Sciences (especially post-Diploma qualifications), while providing support to the Department in pursuit of its objectives in teaching and learning, work integrated learning, service learning, and research.
Job Knowledge, Skills and Experience

• A doctoral degree in Applied Mathematics or a doctoral degree in Mathematics with a demonstrable focus on Applied Mathematics
• At least 4 years' relevant working experience, which must include two years teaching experience in Mathematics or Applied Mathematics at the Higher Education level
• Demonstrable skills and experience in Data Science (data cleaning and data analysis) in a widely used software or language such as Python, R, or SAS
• Research and postgraduate supervision commensurate with Institutional requirements
• Experience in curriculum development

Key Performance Areas / Principal Accountabilities

• Teach Mathematics and related modules up to the Postgrad Diploma level in Mathematical Sciences
• Supervise student projects up to the Postgraduate Diploma level in Mathematical Sciences
• Monitor and assess Work Integrated Learning
• Develop innovative teaching and learning methods and materials for the subjects being taught (e.g., lecture notes, tutorials, online content)
• Perform appropriate academic and administrative duties in the Department
• Participate in curriculum development, particularly at post-Diploma level and higher
• Participate in research projects and produce DHET-accredited publications
• Participate in the Quality Assurance activities of the Department
• Assist with marketing and student recruitment activities
• Perform other functions as may be assigned by the Head of Department

Competencies

• Proficiency in at least one Data Science programming language such as Python, R, or SAS
• Proficiency with at least one Mathematics software package such as MATLAB
• Strong oral and written communication skills
• Organisational and planning skills
• General computer skills (MS Office, Internet, email)
• Adaptability and willingness to innovate
• Skills in a code-based document preparation system (e.g. LaTeX)
• Strong student focus
• Administrative skills
• Research and academic writing skills
• Proficiency in English

General Information
Closing Date: 02 November 2025
Enquiries: Ms. Nomaphelo Maki- MakiN@cput.ac.za - Human Capital Department
NB: PLEASE NOTE THAT THIS SYSTEM DOES NOT ALLOW APPLICANTS TO UPLOAD CVs. IT IS THUS
IMPORTANT THAT APPLICANTS COMPLETE ALL SECTIONS COMPREHENSIVELY AS FAILURE TO DO SO MIGHT DISADVANTAGE YOU. PLEASE UPDATE YOUR APPLICATION ON THE SYSTEM WITH THE LATEST INFORMATION AS THIS WILL BE THE ONLY CRITERIA USED FOR EVALUATION OF YOUR APPLICACTION BY OUR PANEL.
NB: Internal applicants interested in higher level academic positions are encouraged to apply for Promotion of Academic Staff if they are eligible. To ensure fairness and consistency, all applications will be assessed against the criteria for Promotion of Academic staff at the respective level(s) applied for. All applicants must satisfy the criteria for promotion to be considered and will be required to submit a portfolio of evidence. In instances where a post is advertised across two levels or more (e.g., Senior lecturer/ Associate Professor/Professor), preference may be given to applicants who meet the requirements at a higher level. Applicants must specify the level at which their application(s) should be considered. The University reserves the right to appoint at a lower level
Please note previous applicants need not re-apply
The Cape Peninsula University of Technology is committed to Employment Equity and aims to attract and retain talented individuals to achieve our equity objectives and therefore, people from the designated groups, including those with disabilities are encouraged to apply. Preference will be given to applicants whose appointment contributes towards the achievement of demographic representation. We reserve the right not to make an appointment.

Skills Required