The University of Johannesburg (UJ) is a vibrant and cosmopolitan university, anchored in Africa and driven by a powerful strategy focused on attaining global excellence and stature (GES). With an emphasis on independent thinking, sustainable development, and strategic partnerships, UJ is an international university of choice. The University is guided by the Vice-Chancellor's vision of “Positioning UJ in the Fourth Industrial Revolution (4IR) for societal impact in the context of the changing social, political, and economic fortunes of Africa”. “Please note that the University is obligated, in terms of recent amendments to the Criminal Law (Sexual Offences and Related Matters) Amendment Act 2021 (Act 13 of 2021), to assess all prospective employees (including applicants) against the National Register for Sex Offenders (NRSO). The outcome of such an assessment may have an impact upon possible employment with the University. For more information, please review the following link: Justice/Criminal/NRSO 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 modules Must be able to lecture, coordinate, and assess postgraduate modules in Mathematical Statistics, such as Stochastic processes and measure-theoretic probability theory (an applicant will be required to present a lecture). Must be active in research in any field of Mathematical Statistics (with contributions that are theoretical in nature) that articulates well with the existing research interests of the department. Must be able to supervise MSc and PhD students in Mathematical Statistics to completion (with a proven track record). 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 (that is 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 at Senior Lecturer level: 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. Must be able to lecture, coordinate, and assess postgraduate modules in Mathematical Statistics, such as Stochastic processes and measure-theoretic probability theory (an applicant will be required to present a lecture). Externally, nationally, and internationally recognized authority in the subject area of Mathematical Statistics, i.e., a sustained 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 both 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. Sound communication skills in English. Ability to develop new undergraduate and postgraduate modules. Able to teach large groups. Additional Recommendations: Knowledge of university, faculty policies, rules, and regulations. NRF Rating. Minimum requirements at Lecturer level: A MSc in Mathematical Statistics (that is theoretical in nature) or an appropriate professional qualification, i.e., FASSA or FIA. Must be able to lecture, coordinate, assess and tutor large undergraduate modules (an applicant will be required to present a lecture). A good track record of lecturing undergraduate Mathematical Statistics modules. Competent to lecture any topic in Mathematics Statistics (that is theoretical in nature) in undergraduate and postgraduate programmes. Evidence of research output or proof of registration for a PhD in Mathematical Statistics (that is theoretical in nature). 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. Additional 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., a sustained 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. 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 Enquiries: Enquiries regarding the job content: Dr J Van Appel on Tel: (011) 559 4761 Enquiries regarding remuneration & benefits: Mr Lubabalo Mgedezi (HCM Business Partner) on Tel: (011) 559 3892/3010 Apply Now

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Senior Lecturer/Lecturer (Faculty of Science: Department of Statistics) - Gauteng

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