Stellenbosch University

Electrical and Electronic Engineering

Temporary Junior Lecturer: Computer and Digital Systems / Machine Learning and Data Engineering (Three-year term appointment)
(Ref. ING02/114/0419)

The Department of Electrical and Electronic Engineering at Stellenbosch University offers leading educational and research programmes in the fields of computer and control systems as well as machine learning and data engineering. A limited number of Senior Lecturer/Lecturer/Junior Lecturer positions have recently become available in the Department in these fields. The Department is therefore looking for excellent candidates to fill these positions. The Department has well-established research laboratories as well as teaching and engineering infrastructures in these fields.

This is a three-year contract appointment with the possibility to extend the appointment after three years. It is expected of successful candidates who do not have PhD qualifications, to enrol for PhD studies and obtain the degree within a reasonable amount of time.
Duties:

- Lecturing general undergraduate modules and of undergraduate and postgraduate modules in specialised computer and digital systems / machine learning and data engineering;
- Supervising final year projects and postgraduate (Master’s) students in the fields of computer and digital systems / machine learning and data engineering;
- Performing basic and/or applied research focused on relevant research areas within the field of computer and digital systems / machine learning and data engineering;
- Collaborating with new and existing research partners within the Department;
- Performing supporting, administrative and representative roles within and outside the Department.

Requirements:

- An applicable Bachelor’s degree (such as BEng) in Electrical and Electronic Engineering, as recognised by the Engineering Council of South Africa (ECSA), to qualify for registration as a Professional Engineer;
- An appropriate Master’s degree (typically MEng or MScEng) in Electrical and Electronic Engineering from a recognised academic university;
- Comply with the requirements to register as a PhD student in the Department, or is currently registered as a PhD student, in the fields of computer and digital systems / machine learning and data engineering;
- The ability to communicate clearly in at least English and to teach courses and modules as described under the duties above;
- Outstanding academic record and evidence of a research record in the fields of computer and digital systems / machine learning and data engineering.

Recommendations:

- Appropriate industry experience;
- Registration as a Professional Engineer;
- A PhD degree from a recognised national or international tertiary institution, in the fields of computer and digital systems / machine learning and data engineering;
- Proven teaching experience is a strong recommendation;
- The ability to function in a multidisciplinary environment;
- A proven publication record.

Commencement of duties: 1 July 2019 or as soon as possible thereafter

Closing date: 10 May 2019

Enquiries regarding this post: Prof. Herman Engelbrecht on 021 808 2139, or at hebrecht@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

The University will consider all applications in terms of its Employment Equity Plan, which acknowledges the need to diversify the demographic composition of the staff corps, especially with regard to the appointment of suitable candidates from the designated groups

The University reserves the right not to make an appointment.

Your application, comprising a comprehensive curriculum vitae (including the names and e-mail address 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.

Should no feedback be received from the University within six weeks of the closing date, kindly accept that your application did not succeed.