Duties and responsibilities: 

• Deliver engaging and innovative teaching at undergraduate and postgraduate levels, including executive education programs.
• Conduct high-impact research recognised nationally and internationally in business management with specialisation in agribusiness.
• Participate (for Associate Professor)/lead and participate (for Professor) in interdisciplinary research projects and initiatives.
• Supervise to completion of master’s and PhD students.
• Participate (for Associate Professor)/play a key role (for Professor) in curriculum development and programme enhancement for formal and executive education programmes.
•  Engage with industry leaders and foster strong connections between the Business School and the business community, including providing consultancy work on behalf of the Business School.
• Generate third-stream income on behalf of the Business School through contract research, consultancy, and funding supporting learning and teaching.
• Contribute to the Business school’s strategic vision and leadership.

Inherent requirements:

Associate Professor

• A PhD on NQF Level 10 in Business Management with a strong focus on specialisation in Agribusiness.
• Proven record of teaching at undergraduate and/or postgraduate level. 
• Experience as external examiner for postgraduate students.
• Proven experience in the presentation of research papers at national conferences, where there is evidence of peer review of papers.
• Acted as an editorial board member of high-quality national scholarly journals.
• Proven national recognition for specialist expertise and research leadership in a specific scientific area of scholarship.
• Proven experience in the supervision of graduated master’s degree students.
• Proven expertise of practice experience in business management with a focus on agribusiness.
• Demonstrated ability for third-stream income generation.
• A proven research record of relevant publications in high-quality accredited national and international journals.
• An NRF rating of C3 or equivalent status.
• Served as a member of a national scholarly society OR a national committee or agency concerned with research at higher education levels OR showed evidence of service as an active member of an international equivalent.

Professor

• A PhD on NQF Level 10 in Business Management with a strong focus on specialisation in Agribusiness.
• Experience as external examiner for master’s-degree and doctoral students.
• Acted as editorial board member of high-quality international/ISI/IBSS journals.
• A significant research portfolio demonstrated by a sustained research record in the last 8 years.
• A research record of relevant publications in high-quality national and international accredited journals.
• Proven international recognition for specialist expertise and research in Business Management with a strong focus on specialisation in Agribusiness (for example, regularly reviews international/WoS/Scopus (Q1 and Q2) journals).
• Demonstrated successful supervision of graduated master’s-degree and preferably graduated doctoral students.
• Proven expertise of practice experience in business management with a focus on agribusiness.
• Demonstrated ability for third-stream income generation.
• Proven experience in delivering keynote addresses at national scholarly conferences.
• Demonstrate potential in wider public engagement and dissemination of research.
• Served as a member of a national or international scholarly society, committee, or agency concerned with research at higher education levels.
• An NRF rating of C1 or C2 or equivalent status.

Recommendations:

• A minimum of three (3) years of relevant practice experience in Agribusiness management.
• Proven lecturing experience in the Higher Education environment.
• An in-depth knowledge of agricultural economics and business.
• A track record in engaging with the agribusiness industry.
• Expertise in agribusiness finance and quantitative methods.
• Ability to communicate research results to clientele groups.
• Proven skills in data analysis using IBM SPSS, AMOS, PLS.