Associate Professor - Electrical Engineering at Tshwane University of Technology

Critical Performance Areas

• To present lectures and assessments of students in related subjects in undergraduate to postgraduate programs.
• Lead quality teaching and learning with technology, such as comfortable use of the Learning Management Systems (LMS).
• Lead subject curriculum development and subject curriculum development and/or implementation committees.
• Responsible for and provide leadership in compiling and maintaining quality study guides, laboratory guides, subject files, and other Teaching and Learning materials.
• Responsible for administrative tasks related to research, innovation, teaching, and learning activities.
• Lead departmental, faculty, and institutional initiatives in collaboration with Technology Stations, Centres, Institutes, and Research Niche Areas.
• Lead institutional research and innovation projects
• Liaise with industry on course and subject levels regarding curricula, visits, research, and other interactions.
• Lead the development and presentation of Short Learning Programmes (SLPs) to assist the Industry with skills and development needs.
• To be actively involved in the research activities of the department in the field of Microcontroller Systems, Embedded Systems, and Software Design, and provide strategic research leadership.
• Lead national and international research and innovation activities.
• Responsible for independent research and innovation projects and associated funding.
• Participate in research and innovation activities at the Technology Stations, Centres, Institutes, and Research Niche Areas.
• Teach and supervise postgraduate students at all levels.
• Produce at least two research and innovation output units per year.

Minimum Requirement
Academic qualifications:

• A relevant Doctorate Degree in Electrical or Electronic Engineering or Computer Engineering or Software Engineering with a research specialization in Artificial Intelligence, Machine Learning, Embedded Systems, or Software Engineering or Robotics.

Experience:

• Five (5) years relevant experience at Senior Lecturer level.
• Record of accomplishment of successful supervision of postgraduate students at least at Doctorate Level.
• Women and people with disabilities are encouraged to apply.
• Evidence in leading research activities in the fields of Artificial Intelligence and Embedded systems.
• Evidence of proven record accomplishment of scholarly research outputs in accredited journals and peer-reviewed conferences.
• Evidence of attracting external funding for research and innovation projects.
• Evidence of National Research Foundation (NRF) rating in an appropriate research rating category or ability to be NRF Ratable.
• Evidence of industry liaison and involvement in Centres, Institutes, and Technology Stations will be an advantage.
• Evidence in contributing to the development of a new curriculum in HEIs' environment.
• Evidence of Experience with impactful Community Engagement activities.

Knowledge and Skills

• Versatile in Artificial Intelligence, Machine Learning, Microcontroller Systems, Microprocessors, Computational intelligence, Software Engineering, or Robotics any other related subjects’ matter.
• Must demonstrate practical experience through successful projects in the field of Artificial Intelligence, Machine Learning, Microcontroller Systems, and Software Engineering Designs.

Registration with professional body:

• Registration with ECSA in an appropriate Professional Category is advantageous.
• Membership of at least one professional voluntary association is recommended.