Data Science Lecturer — Hybrid, Research‑Focused

Placements24; Centurion; Hybrid; ZAR 700,000 - 900,000; Full time

Benefits offered by this job

Medical aid

Pension fund

Academic leave

Research grants

Job summary

Centurion University is seeking an accomplished Data Science Lecturer for its Faculty of Information Technology in Centurion, Gauteng. The role blends on-campus teaching with remote admin duties and student support, suitable for a scholar with substantial industry experience and a PhD.

The candidate will deliver courses in data analysis, ML, statistical modeling, and data visualization, supervise postgraduate work, and publish research while engaging with industry partners in a hybrid

Qualifications

• PhD in a quantitative field related to data science or CS.
• Minimum 4 years university teaching and research or equivalent industry research with publications.
• Proficiency in Python or R and data science libraries/frameworks.
• Strong knowledge of statistical modeling, ML, and data visualization.

Responsibilities

• Deliver high-quality lectures and tutorials on data science topics.
• Develop and update course content, syllabi, and assessments.
• Supervise postgraduate research projects and dissertations.
• Conduct and publish original data science research in journals/conferences.
• Mentor students on academic and career development.
• Participate in faculty meetings and university committees.
• Collaborate with industry partners on research and internships.
• Contribute to new data science programs and courses.
• Maintain a strong professional network in data science.

Skills

Lecturing

Research skills

Communication

Postgraduate supervision

Education

Ph.D. in Data Science/CS/Statistics/Math

Tools

Python

R

Hadoop

Spark

Job description

Centurion University is seeking an accomplished Data Science Lecturer for its Faculty of Information Technology in Centurion, Gauteng. The role blends on-campus teaching with remote admin duties and student support, suitable for a scholar with substantial industry experience and a PhD.

The candidate will deliver courses in data analysis, ML, statistical modeling, and data visualization, supervise postgraduate work, and publish research while engaging with industry partners in a hybrid