Postdoctoral Research Fellowship: Department of Business Innovations and Entreprenuership at University of Fort Hare

Requirements:

The successful candidate will preferably have a doctorate, completed in the last five years, in the following:

• Information Systems
• Educational Technology
• Computer Science (with education or AI focus) .
• If not yet in possession of a doctoral degree, they need to submit a written statement from the Registrar (or equivalent) at the issuing University confirming that they satisfactorily fulfilled the University’s requirements for a doctoral degree at the time of application for a postdoctoral research fellowship. Details of the qualification and expected date of graduation should be included in the statement.
• The successful candidate may not be in the employment of UFH (including Time on Task) at the time of taking the postdoctoral fellowship.
• The successful candidate may not be employed in any other institution/company during their postdoctoral fellowship.
• The successful candidate may be of any age, gender or nationality (subject only to the visa regulations of the Department of Home Affairs)
• Preference will be given to South African females.

Conditions:

• By the end of their first year, the PDRF is expected to have submitted papers amounting to 2 units for review on the topic of their postdoctoral research which meets the following minimum requirements
• PDRF extending into their second and subsequent years are expected to have published (or have in-press) 2 units. All papers must be on the topic of the postdoctoral research and details of the papers must be submitted by the host to the PGS office by the end of each renewal year.

Requirements for the Project:

• Strong understanding of quantitative and/or qualitative research methods
• Knowledge of or interest in AI in education, educational technology, or digital learning environments
• Understanding of multilingual education, language diversity, or inclusive pedagogy
• Competence in data analysis (e.g., SPSS, qualitative analysis tools, or learning analytics approaches)
• Strong academic writing and publication track record or clear potential
• Ability to work collaboratively in interdisciplinary and diverse research contexts