PURPOSE OF THE POSITION

A Senior Lecturer is expected to make significant contributions to the teaching effort of a department, school, faculty, other organisational unit or an interdisciplinary area. An academic at this level is also expected to play a major role in scholarship, research and/or professional activities. The successful candidate will be expected to supervise students on the Master of Business Administration (MBA) and doctoral degree candidates.

KEY RESPONSIBILITIES: 

1.           Teaching & Learning

•             Demonstrate excellence in postgraduate teaching by submitting a reflective portfolio that critically reflects on teaching and

•             learning practices.

•             Develop and implement effective learning environments, including face-to-face and blended approaches.

•             Utilize learning management systems (LMS) and online platforms for teaching and learning.

•             Employ effective assessment practices and reflect on student feedback.

•             Successfully supervise or co-supervise MBA mini dissertations

•             Complete the CTL and other T & L development courses.

•             Develop and update study guides according to CTL requirements.

•             Integrating responsible management and sustainable development goals (SDGs) into the curriculum.

•             Provide evidence of the impact on and transfer of competencies to students.

•             Teach on the MBA and/ or PGDM programme.

2.           Research, Innovation, and/or Creative Outputs

•             Engage in research activities and contribute to the School’s research efforts

•             Demonstrate relevance and intellectual creativity in research or creative outputs, as peer review confirms.

•             Publish at least one article in an accredited journal and one paper in a peer-reviewed conference proceeding.

•             Participate in collaborative international research projects.

3.           Academic Leadership, Management, and University Service

•             Participate in school and faculty committees, contributing to the overall academic leadership and management.

•             Provide guidance and support to students, including advising and recruitment activities.

•             Presenting at least one Bon-Bon annually.

•             Active participation in the scientific committee

•             Active participation in the programme meetings

•             External examiner for MBAs and PhDs

•             Internal examiner/moderator for MBA and PhDs

•             Consulting work (application of expertise)

4.           Social Responsiveness

•             Engage in community engagement initiatives, such as media comment, education, or activities benefiting specific communities.

•             Participate in awards, prizes, grants, or other acknowledgements that recognise service at any level.

•             Contribute to academic citizenship and demonstrate a commitment to sharing expertise with the community.

•             A PhD (NQF level 10) in Data Modelling in Management Sciences, Digital Innovation or related fields.

•             A minimum of three (3) years’ experience in teaching at postgraduate level (preferably at a business school).

•             Three (3) years Industry-related experience.

 ADDED ADVANTAGES & PREFERENCES:

•             Ability to develop programme outcomes and module content at MBA/ Postgraduate Diploma and Executive Development levels.

•             A record of research supervision and publishing articles in academic journals.

KEY FUNCTIONAL/TECHNICAL COMPETENCIES:

•             Computer literacy in MS Office (Word, Excel and PowerPoint), email and internet.

•             Clear evidence of strength in teaching and learning in a blended environment and research and innovation activity.

•             Knowledge of modern platforms (e.g. whiteboard technology, eFundi, etc.) to enhance the ongoing changing of the

learning and collaboration environment.

•             Knowledge, skills, and practical experience in the field of Data-driven Decision Making, Analytics, Artificial Intelligence,

•             Excellent problem-solving skills.

•             Demonstrated a high standard of interpersonal and communication skills including the ability to work both independently

and collaboratively in a multi-disciplinary environment.

•             Demonstrated language skills (in English and at least one other official South African Language) to function optimally within

the multi-lingual environment of the NWU.

KEY BEHAVIOURAL COMPETENCIES:

•             Have excellent people and conflict resolution skills.

•             Can apply time management and work independently (on their own and without supervision).

•             Must be able to work well in a group.

•             Demonstrate initiative and leadership in research and teaching and learning.

REMUNERATION:

The annual total remuneration package will be commensurate with the level of appointment as advertised and in line with the NWU policy guidelines.

ENQUIRIES REGARDING JOB CONTENT MAY BE DIRECTED TO:                      Prof. Joseph Sekhampu, 018 299 1408

ENQUIRIES REGARDING RECRUITMENT PROCESS MAY BE DIRECTED TO: Ms Moratuwa Motsemme on 018 299 4958

CLOSING DATE:                                                                                                             13 June 2025

PLANNED COMMENCEMENT OF DUTIES:                                                           As soon as possible

Kindly take note: applications must be submitted online through the official nwu vacancy website. Incomplete applications and those submitted through any other platform will not be considered.

The University subscribes to and applies the principles of Employment Equity (EE) Act and is committed to transformation. Preference will be given to candidates from the designated groups, in accordance with the principles of the EE Act and NWU Employment Equity Plan.

The University reserves the right not to make an appointment. Communication will be limited to shortlisted candidates only.

If you are not contacted within two months from the closing date of this advertisement, please accept that your application was unsuccessful.

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