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University Professor Academic

Lecturer- Statistics

Job in Cape Town, 7100, South Africa
Listing for: Cape Peninsula University of Technology
Full Time position
Listed on 2026-01-01
Job specializations:
  • Education / Teaching
    University Professor, Academic
Job Description & How to Apply Below

Job Knowledge

, Skills and Experience
  • Masters (NQF level
    9) qualification in Statistics, Data Science, or equivalent.
  • Additionally, an NQF level 7, or 8 qualification (Advanced Diploma, Bachelors Degree, Postgraduate Diploma, or Bachelor Honours Degree) in Statistics, Mathematics, Applied Mathematics, Statistics, Computer Science, or a related field
  • Advanced proficiency is required in at least one of the statistics software or languages used in the Department, namely, R or SAS
  • At least two years’ relevant full-time working experience, of which at least one year must be in a lecturing role at a higher education institution

    • Recommended:

  • Industry experience in Statistics or Data Science would be advantageous
  • Experience teaching or working in an Engineering context would be advantageous
    • Key Performance Areas / Principal Accountabilities

    The successful candidate will be expected to perform in the following areas:

  • Teach statistics and related subjects up to at least NQF level 7, including in Engineering qualifications
  • Develop reusable learning and teaching 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 postgraduate level
  • Supervise and assess undergraduate and postgraduate Mathematical Sciences students for their exit-level projects
  • Participate in research and produce DHET-accredited publications at a rate of at least 0.5 publication units per year
  • 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
  • Strong oral and written communication skills
  • Organisational, planning, and time management skills
  • General computer skills (MS Office, Internet, email, AI prompts)
  • Adaptability and willingness to innovate
  • Strong student focus
  • Administrative skills and attention to detail
  • Research and academic writing skills
  • Proficiency in English
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