Lecturer (Faculty of Science: Department of Statistics) (Re-advert)

**Advert reference**: uj_002084 **Advert status**: Online **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** **_ 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**: - 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). - 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 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. **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. - 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 Partner) at Tel. (011) 559 3010