Job Description

Advert reference:

uj_001887

Advert status:

Online

Apply by:

6 April 2025

Position Summary

Industry:

Education & Training

Job category:

Education and Training

Campus:

Auckland Park Kingsway Campus

Contract:

Permanent

Remuneration:

Market related

EE position:

Open to all

Level:

Skilled

Introduction

The University of Johannesburg (UJ) is a vibrant and cosmopolitan institution, guided by its bold UJ Strategy 2035, which emphasises Societal Impact and Sustainability, Global Footprint and Partnerships, and Technology for the Future. Committed to transformative change, UJ's mission is "To transform and serve humanity through innovation and the collective and collaborative pursuit of knowledge." The University is guided by the vision of building "An international university of choice, anchored in Africa and the global south, dynamically shaping a sustainable future".

Job description

The Department of Statistics is in the Faculty of Science of the University of Johannesburg. We teach undergraduate modules to students distributed over four campuses in service to numerous other faculties. We offer mainstream mathematical statistics up to PhD and have recently introduced an Actuarial Science program within the faculty of science. Lastly, a collegial and cooperative atmosphere pervades the department.

Responsibilities:

The successful candidate:
Must be able to lecture, coordinate, assess and tutor large undergraduate (service) modules in Statistics. Must be active in research in any field of Mathematical Statistics (contributions that are theoretical in nature) that articulates well with the existing research interests of the department. Supervise MSc and PhD students in Mathematical Statistics to completion. Must demonstrate a strong commitment to teaching and productive research and play a leading role in teaching innovation. Must be able to develop course material for Mathematical Statistics (theoretical in nature) modules required in the Department of Statistics. Must contribute to departmental outreach and community engagement programmes. Must be able to perform other academic or administrative duties as determined by the Head of Department. Committed to driving 4IR.

Minimum requirements

A MSc in Mathematical Statistics (that is theoretical in nature) or an appropriate professional qualification, i.e., FASSA or FIA. A good track record of lecturing undergraduate Mathematical Statistics modules. Competent to lecture any topic in Mathematics Statistics (that is theoretical in nature) to undergraduate programmes. Evidence of research output or proof of registration for a PhD in Mathematical Statistics (that is theoretical innature). Lecturing honours level Mathematical Statistics modules (that are theoretical in nature). Proven record of engagement with the scholarship of teaching, e.g., an abridged teaching evaluation or portfolio. Strong commitment to good teaching and research. Sound communication skills in English. Ability to develop new undergraduate and postgraduate modules. Able to teach large groups.

Competencies and Behavioural Attributes:

Good academic and administrative skills. Excellent presentation skills. The ability to work under pressure. A high level of proficiency in spoken and written English. Experience using advanced mathematical typesetting software. Good interpersonal skills that contribute to a collegial atmosphere. The ability to work independently and collaboratively. Strong work ethic and integrity.

Recommendations:

A PhD in Mathematical Statistics (that is theoretical in nature). A sustained track record of teaching and research with a specialized course or programme at university level. Externally, nationally, and internationally recognized authority in the subject area of Mathematical Statistics, i.e., asustained contribution, that is theoretical in nature, to the field of Statistics. Research specialization that articulates well with the existing research interests of the department. Supervised MSc and PhD students in Mathematical Statistics (that is theoretical in nature) to completion. Proven record of engagement with the scholarship of teaching, e.g., teaching evaluation or relevant portfolio. Innovative teaching techniques incorporating technology. NRF Rating would be an added advantage. Knowledge of university, faculty policies, rules, and regulations

Enquiries:

Enquiries regarding job content:

Dr J van Appel (Head of Department) at Tel. (011) 559 4761

Enquiries regarding remuneration and benefits:

Mr Lubabalo Mgedezi (HCM Business Partnering) at Tel. (011) 559 3010


Your application, comprising of a detailed Curriculum Vitae as well as the names and full contact details (including telephone numbers and e-mail addresses) of at least three traceable and credible referees must be uploaded before or on the closing date of the advertised post. Please also attach the following: a copy of your highest academic qualification, proof of registration with professional bodies you might belong to and if applying for an academic position, a list of accredited research output and/ or a portfolio of your creative output.


If you require technical support / assistance on the UJ e-recruitment website, please contact our service provider PNET on the following contact details:

0861 227337/010 140 3099

or email ujsupport@pnet.co.za.


Candidates may be subjected to appropriate psychometric testing and other selection instruments.

In conjunction to merit on the basis of qualifications, experience and proven achievements the University of Johannesburg is committed to providing equal employment opportunities for persons with disabilities and those individuals from the historically disadvantaged groups.

As necessitated by operational requirements the University reserves the right not to make an appointment to positions advertised. If you have not received a response from the University within 8 weeks of the closing date, you should assume that your application has been unsuccessful.