Junior Lecturer in Data Engineering

6 days ago


Stellenbosch, South Africa Stellenbosch University Full time

Duties/Pligte- 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 (Masters) 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 to build contacts with other universities, industry and government organizations to promote

research and development programs in the data engineering and machine learning fields at Stellenbosch University;Performing supportive, administrative and representative roles within and outside the Department.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 omnavorsing 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.Job Requirements/Pos Vereistes- 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 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 track-record;- Good interpersonal and organisational skills;- Proven research skills.'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.

Recommendation/Aanbeveling- Registration as a Professional Engineer;- Previous tertiary teaching experience, at undergraduate and/or postgraduate levels;- PhD qualification, or in an advanced stage of a PhD study, at an accredited national or international tertiary institution systems, in the fields of data engineering

and/or machine learningThe ability to function in a multidisciplinary environment;- Preference will be given to South African citizens from the designated groups.Registrasie as 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 of masjienleer;Die vermoë om te funksioneer in 'n multidissiplinêre omgewing;- Kandidate uit die aangewese groepe sal voorkeur geniet.



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