Lecturer: Data Science
3 months ago
Duties/Pligte
Specific duties will include, although will not be limited to:
- Assisting with the academic guidance and management of the DSRG;-
- Providing guidance and leadership to postgraduate students and undergraduate project students;- Conducting research in data science and technology transfer to and from industry;Job Requirements/Pos Vereistes- On undergraduate level, an appropriate undergraduate qualification in engineering or computer science;specialisation: machine learning,
Engineering;- An excellent academic record (please include a transcript of all undergraduate and postgraduate achievements to date);- Experience in teaching and assessment of modules in data science in engineering and/or computer science undergraduate and postgraduate curriculums, specifically in the above listed
data science specialisations;Experience in supervision of students in undergraduate data science projects;- Good verbal and written communication skills in English;- Strong commitment to becoming a scholar in data science, specifically in the above data science specialisations;- Strong programming experience.
- (Kindly note the requirements for the cover letter, in which you should detail your adherence to each of these requirements.)_
Recommendation/Aanbeveling- With reference to data science disciplines, teaching and research experience in deep learning or ig Data platforms and architectures, federated learning;- Scholarly achievements in any of the above data science specialisations, to include journal (Q1 and Q2 journals) and mainstream conference publications;- Evidence of involvement with academic activities, including reviews for journals and/or conferences;- Track record of hands-on experience in deploying and maintaining machine learning models in production;- Experience with machine learning deployment frameworks, including containerisation, serverless architecture and other deployment strategies;- Experience in testing and monitoring models in production, e.g. monitoring models for performance issues, data drift, and other potential problems;-
- Experience with cloud-based machine learning services such as AWS, Azure Machine Learning, or Google Cloud API Platform;- Experience in deploying machine learning models on Edge;- Proficiency in English and Afrikaans.
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