Job Description

Job Title
Lecturer/Senior Lecturer/Associate Professor/Professor in Business Analytics (2 positions) (Job ID: 6049)
Organizational Unit
University of the Free State -> Faculty of Economic and Management Sciences -> Office of the Dean: Faculty of Economic and Management Sciences
Contract Type
Permanent
Occupational Level
Middle Management
Location
Bloemfontein Campus - Bloemfontein, FS ZA (Primary)

Closing Date
16/3/2025
Description

KINDLY TAKE NOTE: Applications may only be submitted online through the official UFS vacancy website:

https://ufs.hua.hrsmart.com/hr/ats/JobSearch/viewAll

- Applications submitted through any other platform will not be considered.

Duties and responsibilities:

Provide supervision to postgraduate students, namely Honours, Master's and PhD students. Lecture Business Analytics to postgraduate and undergraduate students. Provide capacity building in Business Analytics as a recognised discipline within the UFS. Develop and refine the curriculum associated with Business Analytics. Collaborate with relevant staff members in the Business Analytics domain. Develop Business Analytics research projects, as well as interdisciplinary projects with relevant departments and centres, such as the UFS Interdisciplinary Centre for Digital Futures and the Department of Economics and Finance. Conduct research in the field of Business Analytics and deliver quality research outputs in the form of accredited articles, book chapters, books and conference papers, and in line with the research strategy of the faculty. Perform academic administration pertaining to undergraduate and postgraduate subjects - this may include typing, setting and marking of all question papers and memorandums, recording of marks, moderation and handling of student complaints. Serve as a member of various academic committees and perform any other tasks allocated by the Dean.

Additional duties and responsibilities for Professor and Associate Professor levels:

Provide leadership in pursuit of the department and faculty strategic plan with regard to research, teaching, engaged scholarship and leadership and administration. Attend and speak at national and especially international conferences, research colloquia, workshops and seminars to enhance research and disciplinary knowledge. Identify opportunities and apply for external research funding, whether as an individual or in collaboration with colleagues. Participate in community activities such as mentorship and provide training and short courses in the areas of specialisation. Develop and maintain strong collaborative relationships with relevant research, civil society, government, industry and professional organisations.

Inherent requirements:

Lecturer

PhD on NQF Level 10 with a background in a quantitative field of study (data science, computer science,

actuarial science, statistics, mathematics, econometrics) where the quantitative discipline is applied to the business context (e.g. economics, finance or banking) (for a permanent appointment).

or

A Master's degree on NQF Level 9 with a background in a quantitative field of study (data science, computer science, actuarial science, statistics, mathematics, econometrics) (contract appointment: five years during which a PhD on NQF Level 10 with a background in a quantitative field of study (data science, computer science, actuarial science, statistics, mathematics, econometrics) where the quantitative discipline is applied to the business context (e.g. economics, finance or banking) MUST be obtained to be converted to a permanent position). Able to prove skill in coding in languages such as Python, R and/or Julia (indicate in application in which such software you have expertise). Able to prove skill in statistical software packages such as SAS, STATA, SPSS, and OX (indicate in application in which such software you have expertise). Proven experience in the delivery of poster or oral presentations at conferences or equivalent activities. Evidence of manuscripts produced that have the potential to be converted or submitted for publication in accredited journals. A good academic record (attach a copy).

Senior Lecturer

PhD on NQF Level 10 with a background in a quantitative field of study (data science, computer science, actuarial science, statistics, mathematics, econometrics) where the quantitative discipline is applied to the business context (e.g. economics, finance or banking). Able to prove expert skill in coding in languages such as Python, R and/or Julia (indicate in application in which such software you have expertise). Able to prove expert skill in statistical software packages such as SAS, STATA, SPSS, and OX (indicate in application in which such software you have expertise). Proven experience in the presentation of papers/posters at national scholarly conferences. Proven national recognition for specialist expertise and research in a specific area of scholarship. An NRF rating or demonstrated potential for obtaining an NRF rating within the next three years. Proven experience in supervision of graduated master's degree students. A proven research record of relevant publication/s in peer reviewed national and international accredited scientific journals. Proven experience of service as an active member of a national or international scholarly society or committee or agency concerned with research at higher-education levels.

Associate Professor

PhD on NQF Level 10 with a background in a quantitative field of study (data science, computer science, actuarial science, statistics, mathematics, econometrics) where the quantitative discipline is applied to the business context (e.g. economics, finance or banking). Able to prove expert skill in coding in languages such as Python, R and/or Julia (indicate in application in which such software you have expertise). Able to prove expert skill in statistical software packages such as SAS, STATA, SPSS, and OX (indicate in application in which such software you have expertise). Proven work experience in higher education. 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 Analytics. An NRF rating or demonstrated potential for obtaining an NRF rating within the next three years. A proven research record of relevant publications in national and international accredited journals. Proven experience in the supervision of graduated master's degree students. 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

PhD on NQF Level 10 with a background in a quantitative field of study (data science, computer science, actuarial science, statistics, mathematics, econometrics), where the quantitative discipline is applied to the business context (e.g. economics, finance or banking). Able to prove expert skill in coding in languages such as Python, R and/or Julia (indicate in application in which such software you have expertise). Able to prove expert skill in statistical software packages such as SAS, STATA, SPSS, and OX (indicate in application in which such software you have expertise). Proven work experience in higher education. Experience as external examiner for master's-degree and doctoral students. Acted as editorial board member of high-quality international/ISI/IBSS journals. Proven international recognition for specialist expertise and research leadership in Business Analytics. An NRF rating or equivalent status. Demonstrated successful supervision of graduated master's-degree and preferably graduated doctoral students. Proven experience in delivering keynote addresses at national scholarly conferences. Served as a member of an international scholarly society OR an international committee or agency concerned with research at higher-education levels.

Recommendations:

Proven experience in supervising topics in a quantitative field of study. Proven lecturing experience in Higher Education. Excellent research record.

Competencies

Required competencies:

Results oriented.

The ability to cope with a frequently changing environment and to adapt to evolving situations. The ability to stick with tasks, not give up, and overcome obstacles in completing one's task.

o Strategic thinking.

The ability to deal with several activities at a time. The ability to be creative and open-minded when addressing work issues.

o Business Acumen:

The ability to adhere to rules and strictly follow work regulations. Proficient in using MS Office.

o Leading.

The ability to lead, take charge of situations, and offer opinions and directions to others. The ability to be cooperative with others, display a good-natured attitude and encourage people to work together.

o Building coalitions

The ability to interact with others and establish personal connections with people. The ability to make decisions through consultation, collaboration and working with close supervision.

Please ensure that all relevant documentation is attached to your application.

INCOMPLETE APPLICATIONS WILL NOT BE CONSIDERED.

A detailed curriculum vitae and cover letter. Copies of qualifications or proof of qualifications obtained (please provide the SAQA accreditation in the case of foreign qualifications). Copies of all academic records (if required). A copy of your identity document (SA ID or passport for foreign nationals). Proof of registration with a Professional Body (if required). A copy of your driver's license (if required). Confirmation of employment from current employer / last employer if unemployed (only applicable to external applicants).

Assumption of duties:

As soon as possible

Closing date:

16 March 2025

Salary:

The salary is available on request.

Fringe benefits:

(Subject to specific conditions): pension scheme, medical aid scheme, group life insurance, housing allowance, leave and sick leave, service bonus and study benefits.

Enquiries:

For enquiries, please feel free to contact 051 401 9814 or email MakolaCM@ufs.ac.za or Recruit@ufs.ac.za. Additionally, kindly contact 051 401 9810 / 9813 / 9848 for assistance.

General:

The UFS is a designated employer and is committed to the pursuit of excellence, diversity, and redress in achieving its equity targets in accordance with the Employment Equity Plan of the University and its Employment Equity goals and targets. Preference will be given to candidates from the under-represented designated groups including candidates with disabilities. Our Employment Equity Policy is available at :

EEA13_EE Plan UFS 1 March 2022 (003).pdf

The University processes personal information in line with its obligations under the Protection of Personal Information Act (POPIA) and any personal information provided to the University will be treated as confidential and processed in accordance with the rights provided to data subjects under POPIA.

The University reserves the right not to fill the post. The UFS will only consider applications of candidates who meet all the inherent requirements of the position. Applications that are incomplete will not be considered. Communication will be limited to shortlisted candidates only. Should you not be contacted within six weeks of the closing date for applications, you may assume that your application was unsuccessful.