
Senior Lecturer/ Lecturer in the Department of Statistics
- Grahamstown, Eastern Cape
- Contract
- Full-time
The purpose of the Department of Statistics is:
- To produce graduates who have a sound knowledge of the major areas of statistical methodology, founded on rigorous theoretical principles which equip the graduate to acquire further knowledge and skills for the benefit of the country through their own study.
- To promote the use and knowledge of Statistics in all fields in which Statistics can contribute to a better understanding of scientific and social phenomena, and enhance the quality of decisions and conclusions made on the strength of the statistical approach.
- To contribute to the body of fundamental statistical science through research.
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.
- 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).
- A comprehensive CV and relevant qualifications which should include the following: -
- Reasons for leaving your current and previous jobs.
- Referees who are and/or were your direct line manager, their title, name, designation and contact information which should be at least their contact number and email address.
- A strong and succinct motivation outlining your interest in the post and suitability relative to the job requirements.
- Short-listing meeting scheduled for the TBC 2025.
- The selection process that will be followed for this post will include an assessment and/or presentation and an interview.
- Shortlisted candidates will be informed of the interview date.
Diversity; Integrity; Respect; Excellence; Collegiality and CompassionUnderpinning these values is the moral duty of accountability and courage: we acknowledge that we are answerable to each other, our Council and ultimately, the South African society for the decisions we make and the actions we take. We are committed to openness and transparency in our governance, our decision-making and in the execution of our responsibilities and in demonstrating courage in confronting those who violate the values for which we stand.