Job Details
- Expires 30 May 18 days left to apply
- Reference number: ING02/095/0425
- Province: Western Cape
- Type of engagement: Permanent appointment
- Posted: May 7th
Background to Position
Stellenbosch University
Faculty of Engineering
Department of Electrical and Electronic Engineering
Junior Lecturer (nGAP): Artificial Intelligence
(Stellenbosch Campus)
Ref. ING02/095/0425
The Department of Electrical and Electronic Engineering at Stellenbosch University (SU) offers leading educational and research programmes in the fields of data engineering and machine learning. A Junior Lecturer position has become available in the Department in these fields and the Department is therefore looking for an excellent candidate to fill this position. In these fields the Department has well-established research laboratories as well as teaching and engineering infrastructure.
The position is aimed to appoint a young (less than 40 years), BCIA or female South African citizen. If the incumbent does not already have a PhD, they will have to register for their PhD (part-time) in the Department of Electrical and Electronic (Stellenbosch University) at the first available opportunity after joining the Department.
The incumbent will be appointed in accordance with the regulations of the new Generation of Academics Programme (nGAP) of the Department of Higher Education and Training (DHET), and will be required to complete a PhD. The position comes with substantial support from the DHET. The appointment is also subject to the conditions as set by the DHET and must be read in conjunction with the nGAP requirements of the DHET (see www.dhet.gov.za/SSAUF).
Job Description
Duties:
- Teaching and administration of general undergraduate modules and specialised undergraduate and postgraduate modules in artificial intelligence, data engineering and machine learning.
- Supervising final year engineering projects and postgraduate (typically Masters and PhD) students in the field of artificial intelligence, data engineering and machine learning. Supervision of PhD students is only required if the incumbent has already obtained an appropriate PhD qualification.
- Performing basic and/or applied research focused on relevant research areas within artificial intelligence, data engineering and machine learning.
- Collaborating with existing research partners within the Department and building contacts with other universities, industry and government organisations to promote research and development programmes in the artificial intelligence, data engineering and machine learning fields at Stellenbosch University.
- Performing supportive, administrative and representative roles within and outside the Department.
Inherent Criteria
Requirements:
- An applicable bachelor’s degree (typically BEng or BScEng) in electrical and electronic engineering, as required by the Engineering Council of South Africa (ECSA) to qualify for registration as a professional engineer.
- An appropriate Masters degree (typically MEng or MScEng) in Electrical and Electronic Engineering for which a final mark of at least 70% was obtained, from a recognised academic university.
- The candidate must qualify to register for a PhD degree in electrical and electronic engineering by February 2026 at the latest and graduate within five years.
- The ability to communicate clearly in at least English.
- The ability to teach courses and modules as part of the typical undergraduate engineering programme as described in the duties above.
- Solid knowledge of and experience in the field of artificial intelligence, machine learning, data engineering or data science.
- A strong academic track-record.
- Good interpersonal and organisational skills.
- Proven research skills.
Recommendations:
- Registration as a professional engineer.
- Previous tertiary teaching experience at undergraduate and/or postgraduate levels.
- A PhD qualification, or in an advanced stage of PhD study, at an accredited national or international tertiary institution in the fields of artificial intelligence, data engineering and/or machine learning.
- The ability to function in a multidisciplinary environment.
- Preference will be given to South African citizens from the designated groups.
Application Requirement
Commencement of duties:
01 July 2025 or as soon as possible thereafter
Closing date:
30 May 2025
Enquiries regarding this post: Prof Japie Engelbrecht on 021 808 4936, or at jengelbr@sun.ac.za
Enquiries regarding remuneration/benefits, as well as technical assistance with the electronic application process: Human Resources Client Services Centre on 021 808 2753 (Stellenbosch) / 021 938 9636 (Tygerberg), or at sun-e-hr@sun.ac.za
Stellenbosch University is committed to employment equity (EE). In accordance with the institutional EE Plan of the University and that of the specific environment, only South African citizens from the designated groups will be considered for appointment.
Stellenbosch University reserves the right not to make an appointment.
Your application, comprising a comprehensive curriculum vitae (including the names and email addresses of at least three referees), must reach the University before or on the closing date of the advertised post.
The University reserves the right to investigate qualifications and conduct background checks on all candidates.
The Occupational Health and Safety Act requires people in occupations that entail potential exposure to certain hazards (such as, but not limited to: noise, hazardous chemical substances and hazardous biological agents) to be subjected to medical screening, to determine their fitness to work in the said occupations.
Should no feedback be received from the University within four to six weeks of the closing date, kindly accept that your application did not succeed.
