Senior Lecturer: Statistics

SUMMARY:
To teach and coordinate modules to undergraduate and postgraduate students. To develop, modernise a

POSITION INFO:
CORE PURPOSE OF JOB The objective of the Department of Statistics at Nelson Mandela University is to produce graduates who, by facilitating the advancement of statistical knowledge and using their statistical training, will contribute positively to the development of South Africa and society. The core purpose of this post is to facilitate and coordinate the learning process of undergraduate and postgraduate students in the Statistics Department, to drive and lead core research activities and, to contribute to community engagement, and to demonstrate diligence in administrative commitments of the department. KEY PERFORMANCE AREAS To teach and coordinate modules to undergraduate and postgraduate students. To develop, modernise and share course material to ensure that relevance and quality are maintained. To successfully supervise at all levels of postgraduate studies, particularly at the doctoral level. To publish research in national and international journals accredited for subsidy by the DoHET. To represent and support the department on inter-faculty and inter-institutional committees. To timeously complete administrative and\/or ad hoc tasks as assigned by the Head of the Department. To lead the Biostatistics training within the department and be willing to serve as programme leader for a Biostatistics Honours degree. To serve and represent the department and institution within the broader educational and statistical community. CORE COMPETENCIES Demonstrated knowledge and understanding of the theory, application and computational analytics of Statistics and\/or Biostatistics. Suitably experience to teach at all levels of the academic program, in particular specialisation at postgraduate level. Suitably experienced to teach and coordinate large numbers of students in a multi-class, multi-campus framework. Experienced in the use of classical and modern multimedia teaching methods with the ability to reflect and modernise teaching practices. Suitably experienced to move to online teaching with minimum disruption to the academic programme. Possess excellent communication and interpersonal skills for teaching, report writing and when serving as a department representative. Experience to manage administrative commitments timeously and ensure attention to detail. Ability to work responsibly, understanding that tasks change over time. Experience to support and supervise statistics postgraduate students and regularly publish research findings. Possess the personality to work independently and cohesively in a team, either as leader or team member. Experience participating with the broader statistical community and engaging with external organisations. Have the flexibility and means to commute between campuses as required. Evidence of securing external funding. REQUIREMENTS A PhD degree (NQF level 10) in Statistics or Biostatistics. PhD degree in Data Science will be considered if statistics and\/or biostatistics is the core component of the degree. At least three (3) years of Statistics, Biostatistics or Data Science lecturing and teaching experience at an institute of higher education at the lecturer or higher level. Evidence of curriculum development and teaching. Successful supervision of postgraduate student projects, a minimum of three (3) projects in the last five (5) years. Have a proven track record of DHET publications, a minimum of three (3) subsidy generating research publications in the last five (5) years. Have a proven track record of national and\/or international presentations at conferences, a minimum of three(3) oral presentations in the last five (5) years. Proven experience in the use and teaching of statistical packages to implement statistical techniques. Evidence of industry engaged activities. Note 1: Candidates invited to an interview will be expected to demonstrate their ability to lecture by presenting a 10-minute lecture on a topic which will be communicated to them prior to the interview. Candidates may be expected to demonstrate their statistical software skills to support their application