Junior Lecturer in Data Engineering

Duties/Pligte
- Onderrig en administrasie van algemene voorgraadse modules en van gespesialiseerde voor
- en nagraadse modules in data ingenieurswese en masjienleer;
- Toesighouding oor finale-jaar ingenieursprojekte en nagraadse (Meesters) studente in die velde van data ingenieurswese en masjienleer;
- Uitvoering van fundamentele en/of toegepaste navorsing gefokus op toepaslike navorsingsareas binne data ingenieurswese en masjienleer;
- Samewerking met bestaande navorsingsvennote binne die Departement en die opbou van kontak met ander universiteite, industrie
- en regeringorganisasies om navorsing

en ontwikkelingsprogramme in die velde van data ingenieurswese en masjienleer by die Universiteit Stellenbosch te bevorder;
- Uitvoering van ondersteunende, administratiewe en verteenwoordigende rolle binne en buite die Departement.
- Teaching and administration of general undergraduate modules and of specialised data engineering and machine learning undergraduate and postgraduate modules;
- Supervising final year engineering projects and postgraduate (Master**'**s) students in the field of data engineering and machine learning;
- Performing basic and/or applied research focused on relevant research areas within data engineering and machine learning;
- Collaborating with existing research partners within the Department and builing contact with other universities, industry and government organisations to promote research

and development programmes in the data engineering and machine learning fields at Stellenbosch University;
- Performing supportive, administrative and representative roles within and outside the Department.

Job Requirements/Pos Vereistes
- 'n Toepaslike Baccalaureus-graad (BIng of BScIng) in Elektriese en Elektroniese Ingenieurswese, soos voorgeskryf deur die Ingenieursraad van Suid-Afrika (ECSA) ten

einde te kwalifiseer vir registrasie as professionele ingenieur;
- 'n Toepaslike Meestersgraad (tipies MIng of MScIng) in Elektriese en Elektroniese Ingenieurswese aan 'n erkende akademiese universiteit;
- Die vermoë om duidelik te kommunikeer in minstens Engels;
- Die vermoë om kursusse en modules te doseer as deel van die tipiese voorgraadse ingenieurskurrikulum soos onder die pligte hierbo beskryf;
- 'n Grondige kennis van en ervaring in die gebied van data ingenieurswese, masjienleer of data wetenskap;
- 'n Sterk akademiese rekord;
- Goeie interpersoonlike en organisatoriese vaardighede;
- Bewese navorsingsvaardighede.
- 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 Master**'s** degree (typically MEng or MScEng) in Electrical and Electronic Engineering from a recognised academic university;
- 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;
- A solid knowledge of and experience in the field of machine learning, data engineering or data science;
- A strong academic trackrecord;
- Good interpersonal and organisational skills;
- Proven research skills.

Recommendation/Aanbeveling
- Registrasie as 'n professionele ingenieur;
- Vorige tersiêre doseerervaring op voor
- en/of nagraadse vlak;
- 'n PhD kwalifikasie of in 'n gevorderde stadium van 'n PhD studie by 'n geakkrediteerde nasionale of internasionale tersiêre instelling op die gebied van data ingenieurswese

en/of masjienleer;
- Die vermoë om in 'n multidissiplinêre omgewing te funksioneer;
- Kandidate uit die aangewese groepe sal voorkeur geniet.
- Registration as a professional engineer;
- Previous tertiary teaching experience at undergraduate and/or postgraduate levels;
- A PhD qualification, or in an advanced stage of a PhD study, at an accredited national or international tertiary institution system, in the fields of 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.