Lecturer/ Senior Lecturer/ Associate Professor/ Professor in Quantitative Animal Breeding at University of the Free State

Duties and 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.

 
Inherent Job Requirements:

Lecturer:

• A PhD in Quantitative Animal Breeding or related discipline on NQF Level 10 (for a permanent appointment). or
• Master’s degree in Quantitative Animal Breeding or related discipline on NQF Level 9 (contract appointment: five years during which a PhD in Quantitative Animal Breeding or related discipline on NQF Level 10 MUST be obtained to be converted to a permanent position). 
• 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.
• Experience in genetic evaluations of farm animals.
   

Senior Lecturer:

• A PhD in Quantitative Animal Breeding or related discipline on NQF Level 10.
• 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.
• Proven experience in supervision of graduated master’s-degree students.
• A proven research record of relevant publications in national and international accredited 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.
• Experience in genetic evaluations of farm animals.
   

Associate Professor:

• A PhD in Quantitative Animal Breeding or related discipline on NQF Level 10.
• 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.
• An NRF rating of C3 or equivalent status.
• Proven experience in the supervision of graduated master’s-degree students.
• A proven research record of relevant publications in national and international accredited journals.
• 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.
• Experience in genetics evaluations of farm animals.
   

Professor:

• A PhD in Quantitative Animal Breeding or related discipline on NQF Level 10.
• 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 a particular area of academic scholarship (for example, regularly serves as a reviewer for international/ISI/IBSS journals).
• An NRF rating of C1 or C2 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:

• Any relevant tertiary teaching, research and experience in the industry as well as national and international contacts.
• Extensive experience working in the industry.
• Registration at the South African Council for Natural Scientists.
• 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 BLUPF90.