Associate Professor Statistics:Science (4538) 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 DHET.
• To secure research funding and grants for student bursaries and project operational costs from external stakeholders.
• 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 take leadership roles within the department and if required, be willing to serve as Head of the Department.
• To serve and represent the department and institution within the broader educational and statistical community.

REQUIREMENTS

• A PhD degree (NQF level 10) in Mathematical Statistics or Statistics.
• At least three (3) years lecturing and teaching experience at an institute of higher education at the senior lecturer level, with demonstrated experience in the teaching of statistical theory and statistical methods at undergraduate and postgraduate level.
• Successful supervision of senior postgraduate students with experience as an external postgraduate examiner at a national level.
• Have a proven track record of regular 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 using and teaching of statistical packages to implement statistical and data science techniques.

The following skills are strongly recommended:

• Experience in securing external funding for postgraduate students and running of research projects
• Research outputs meeting an NRF rating level.
• National and/or International research collaboration.