Professor/Associate Professor/Senior Lecturer/Lecturer Department of Statistics
Grahamstown, Eastern Cape, ZA
7d ago
source : JobVine

Professor / Associate Professor / Senior Lecturer / Lecturer in the Department of Statistics.

Recognising that diversity is important in achieving excellence, Rhodes University especially encourages South African members of underrepresented designated groups to apply.

Spouses and Partners of existing staff members are also encouraged to apply.

Please note that this appointment will be made in line with the requirements of the Employment Equity Act of RSA and the University’s recruitment and selection policies and equity strategies.

The initial focus will be on equity candidates.

In terms of Immigration Legislation (Act No.

13 of 2002 & Regulations), international staff members (non-SA citizens) have to comply with the provisions of the Act.

This therefore means that the period of employment to non-SA citizens will be guided by the validity period of the work permit.

In line with legislation governing employment of foreign nationals, employment contracts will be offered on the basis that a development plan would be implemented for the transfer of skills to a South African resident.

The onus is on candidates to ensure that they are in possession of a valid work permit before the commencement of employment at the University, failing which the employment with Rhodes University will be terminated.

NB : Preference will be given to candidates from the designated group and Rhodes University reserves the right to re-advertise if no suitably qualified South African Black applicant is recommended for appointment.

Partners and spouses of Rhodes University staff are encouraged to apply.


  • At least a PhD in Statistical Sciences or Mathematics (but not in Operations Research / Applied Statistics / Demography / Decision Science / Analytics / Applied Mathematics*) with experience in teaching / ability to teach (dependent on the academic level applied for) in the following disciplinary areas : Mathematical Statistics (at undergraduate and postgraduate levels) : Multivariate Analysis;
  • Generalized Linear Models; Bayesian Statistics; Financial Statistics; Stochastic Processes; Bootstrap; Classification / Statistical Learning.

  • The Department of Statistics teaches mathematical statistics with emphasis on the development of the statistical theory and its subsequent application thereof and not necessarily the application of stats.
  • Requirements

    VERY IMPORTANT : The system DOES NOT allow for multiple attachments and please ensure that your attachments do not exceed a size limit of 2MB.

    This means that candidates should submit all the documentation as one pdf attachment for each application i.e.

    an application form, a letter of motivation which clearly indicates the level they are applying for, a comprehensive CV and relevant certificates including academic transcripts.

    If your documents will exceed the size limit, please send the rest of the attachments to :

    If you have any questions or experiencing challenges with the system, please contact Ms Mericha Maccario on (XXX)-XXX-XXXX or

    Failure to submit such documentation will result in an application not being considered.

    Please examine the following documents :

  • Application Form Academic
  • Curriculum Vitae Required Format- Academic
  • Profile

  • Further particulars about the post and the Selection Process
  • Selection Process (provisional dates, subject to change) :


    Cost to company approximately : R 567,661.00

    Basic salary Pension / Provident fund : R 433,689.00

    Senior Lecturer

    Cost to company approximately : R 679,055.00

    Basic salary Pension / Provident fund : R 523,726.00

    Associate Professor

    Cost to company approximately : R 802,254.00

    Basic salary Pension / Provident fund : R 623,306.00


    Cost to company approximately : R 937,650.00

    Basic salary Pension / Provident fund : R 732,743.00

    Closing Date : Monday, 18 February 2019

    An employment check will be conducted on successful candidates.

    Ref : RU000198 / MM

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