Lecturer Generation of Academics Programme; nGAP – Quantitative Animal Breeding
Listed on 2026-02-01
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Education / Teaching
University Professor, Biology
Overview
Job Title: Lecturer in the New Generation of Academics Programme (nGAP) – Quantitative Animal Breeding
Job : 6349
Organizational Unit: University of the Free State → Faculty of Natural and Agricultural Sciences → Department Animal Science
Contract Type: Permanent
Occupational Level: Junior Management
Location: Bloemfontein Campus, Bloemfontein, FS ZA
Closing Date: 18 February 2026
Note: The position is funded by the Department of Higher Education and Training under the New Generation of Academics Programme (nGAP). The successful candidate will be subject to the terms and conditions of the programme while being a permanent staff member of the University of the Free State. Applicants should be under the age of 40. For more information on the programme, the nGAP Standard Operating Procedure is available on request.
Dutiesand responsibilities
- Teach and assess undergraduate and postgraduate students.
- Provide study leadership at postgraduate level.
- Source external research funding and forge linkage with the industry.
- Participate in community projects such as Farmer's days.
- Recruit postgraduate students.
- Perform general administration duties as applicable at university level.
- A Master’s degree on NQF Level 9 in Quantitative Animal Breeding with a minimum final mark of 70%. (Please attach academic record).
- Registered for a doctoral degree on NQF Level 10 in Quantitative Animal Breeding (attach proof) or commitment to register within the first year of the appointment.
- A PhD degree on NQF Level 10 in Quantitative Animal Breeding.
- Any relevant tertiary teaching, research and experience in the industry as well as national and international contacts.
- Registration at the South African Council for Natural Scientists (attach proof).
- Knowledge of biostatistics, bioinformatics, data science, quantitative genetics, statistical genetics or genomics.
- Experience in statistical analysis for complex data using R, SAS, ASREML, WOMBAT or BLUPF
90. - Programming skills using R, Fortran or any other relevant language.
- Proven research record of relevant publications in national accredited journals.
- Member of a professional body or registration (attach proof).
- Member of a national or international scholarly society or committee.
- Required competencies:
- Results oriented — The ability to set high standards, establish tough goals, and to work to achieve success.
- The ability to be reliable, responsible, dependable and to fulfil obligations
- Strategic thinking
- The ability to deal with several activities at a time.
- The ability to carefully analyse information and use logic to address issues and problems at work.
- Business Acumen
- The ability to adhere to rules and strictly follow work regulations.
- Proficient in using MS Office.
- Leading
- The ability to maintain high levels of personal motivation, energy and enthusiasm.
- The ability to be cooperative with others, display a good-natured attitude and encourage people to work together.
- Building coalitions
- The ability to be self-assured and at ease with people in all types of social situations.
- The ability to interact with others and establish personal connections with people.
Assumption of duties: As soon as possible
Other detailsClosing date: 18 February 2026
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.
EnquiriesFor enquiries, please contact or email Sejanamane
P.za or Recruit.za. Additionally, please contact 9813 for assistance.
The UFS is a designated employer and is committed to diversity and equity in accordance with the Employment Equity Plan. Preference will be given to candidates from under-represented designated groups including candidates with disabilities. Our Employment Equity Plan is available on request.
The University processes personal information in line with POPIA and will treat personal information as confidential.
The University reserves the right not to fill the post. Applications that are incomplete will not be considered. Communication will be limited to shortlisted candidates. Should you not be contacted within six weeks of the closing date, you may assume your application was unsuccessful.
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