RSS Feed Source: Academic Keys

Key Performance Area

Deliver high-quality and innovative teaching across undergraduate and postgraduate programmes, designing assessments that support student success. Supervise and mentor research students, ensuring academic integrity and ethical practice. Lead curriculum development and review to maintain academic relevance and industry alignment. Conduct individual and collaborative research, build a strong publication record, and pursue external funding opportunities. Provide academic leadership, mentor junior staff, and foster a collaborative departmental environment. Contribute to governance through active participation in committees and support institutional quality assurance and strategic initiatives. Assist with student selection, registration, and advising in line with university policies. Lead outreach and capacity-building initiatives with community and industry partners. Perform any other reasonable duties as assigned by the Head of Department or senior leadership.

Job Requirements

A Doctorate (NQF Level 10) in Artificial Intelligence, Computer Science, Data Science, or a related qualification with at least six

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RSS Feed Source: Academic Keys

Key Performance Area

Deliver high-quality and innovative teaching across undergraduate and postgraduate programmes, designing assessments that support student success. Supervise and mentor research students, ensuring academic integrity and ethical practice. Lead curriculum development and review to maintain academic relevance and industry alignment. Conduct individual and collaborative research, build a strong publication record, and pursue external funding opportunities. Provide academic leadership, mentor junior staff, and foster a collaborative departmental environment. Contribute to governance through active participation in committees and support institutional quality assurance and strategic initiatives. Assist with student selection, registration, and advising in line with university policies. Lead outreach and capacity-building initiatives with community and industry partners. Perform any other reasonable duties as assigned by the Head of Department or senior leadership.

Job Requirements

A Master’s degree (NQF Level 9) in Computer Science with at least four (4) years of lecturing and/or industrial experience

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RSS Feed Source: Academic Keys

Job ID: 263253

Lecturer : Data Science
Namibia University of Science and Technology Job Categories Lecturer/Instructor
Academic Fields Computer Science

Key Performance Area

Deliver high-quality and innovative teaching across undergraduate and postgraduate programmes, designing assessments that support student success. Supervise and mentor research students, ensuring academic integrity and ethical practice. Lead curriculum development and review to maintain academic relevance and industry alignment. Conduct individual and collaborative research, build a strong publication record, and pursue external funding opportunities. Provide academic leadership, mentor junior staff, and foster a collaborative departmental environment. Contribute to governance through active

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RSS Feed Source: Academic Keys

This Track seeks to increase the capacity of only IHEs with low to medium RTRL. IHEs that are a good fit for this Track are those that have a low to moderate level of research activity and are in a position to identify high-promise discoveries/innovations, solicit disclosures of such discoveries/innovations, evaluate those discoveries/innovations and their product or service markets for protectability and product-market-fit potential, and protect  IP thereby incentivizing and initiating a pipeline for subsequent translation activity to de-risk technologies, conduct proof-of-concept work, and advance technologies through partnership or new venture creation. Developing the building blocks for identification, pipeline development, evaluation, and IP protection activity is the primary aim of the ACT Track. Specifically, the primary goals of this Track are to build capacity and infrastructure for technology transfer units to develop a culture of innovation and entrepreneurship, grow innovation management capacity and process-supported

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