Senior Lecturer: Statistics (4539) at Nelson Mandela University

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.