Senior Lecturer/ Lecturer in the Department of Statistics at Rhodes University

Main Objectives

• All academics are responsible for disseminating knowledge (teaching and learning), creating knowledge (research), and engaging in community engagement, recognising differences in executing these responsibilities within the various departments and faculties. 
• Academics are also expected to assume administrative, management, and/or leadership duties at the departmental, faculty, and/or university levels. In addition, they are expected to be actively involved in the development and advancement of their discipline through professional service.

The Requirements 
Lecturer: 

• At least a Master’s in the Mathematical Statistical Sciences, but not in Operations Research / Applied Statistics / Decision Science / Analytics / Applied Mathematics. The Department of Statistics teaches mathematical statistics with emphasis on the development of the statistical theory and the subsequent application thereof, and not necessarily the application of statistics.
• Tutoring and facilitation are required, as well as conference presentations and some teaching experience, which are added advantages.
• Ability to teach in one or more of the following disciplinary areas of Mathematical Statistics at undergraduate levels: Distribution theory; Multivariate Analysis; General Linear Models, Generalised Linear Models; Classification/Statistical Learning; Bayesian Statistics; Financial Statistics; Stochastic Processes; Time Series Analysis; Bootstrap.
• Some research supervision of postgraduate degrees is an added advantage.
• Some administrative experience, albeit in informal contexts, e.g., student or sports clubs, and work experience.

Senior Lecturer: 

• At least a PhD in the Mathematical Statistical Sciences, but not in Operations Research / Applied Statistics / Decision Science / Analytics / Applied Mathematics. The Department of Statistics teaches mathematical statistics with emphasis on the development of the statistical theory and the subsequent application thereof, and not necessarily the application of statistics.
• Teaching, facilitation, and conference presentation experience required.
• Experience in teaching in one or more of the following disciplinary areas of Mathematical Statistics at undergraduate and postgraduate levels: Distribution theory; Multivariate Analysis; General Linear Models, Generalised Linear Models; Classification/Statistical Learning; Bayesian Statistics; Financial Statistics; Stochastic Processes; Time Series Analysis; Bootstrap.
• Research supervision of Master's to completion and preferably PhD degrees required.
• Track record of research publications.
• Emerging national profile in the discipline.
• Track record of administration, management, and/or leadership roles (leadership roles may be informal).

Closing Date 30 September 2025