Lecturer in Applied Artificial Intelligence (nGAP) - South Africa

CORE PURPOSE OF JOB

To create, design, develop, facilitate and administer the learning and teaching process for students in modules presented by the Nelson Mandela University at undergraduate level and postgraduate level. To do, participate in, contribute towards and research and innovation, contribute to community, professional and discipline engagement and to be involved in the core functions of the University.

To lecture subjects at the undergraduate and postgraduate level in the school of Information Technology, Department of Software Engineering. and potentially across departments in the school, faculty or institution (depending on the operational needs).

The nGAP appointment is a full-time permanent position that covers a six-year development period: a 3-year development programme, followed by a 3-year induction. In order to allow the appointee to complete a PhD or

KEY PERFORMANCE AREAS

• Facilitate teaching and learning at undergraduate and postgraduate level.
• Contribute to the creation of knowledge by virtue of postgraduate studies, publications and supervision.
• Perform academic administration.
• Incorporate trends with regard to learning and teaching to ensure a student-centred learning experience.
• Maintain relevant and up to date learning and teaching material by integrating latest trends.
• Participate in projects targeted at community service and engagement.

CORE COMPETENCIES

• Possess sound knowledge of the theory and application of Software Development and Software Engineering.
• Ability to facilitate learning at undergraduate level in Software Development and Software Engineering.
• Ability to synthesize information to design learning experiences.
• Must have excellent organizational and time management skills as well as strong communication skills (verbal and written).
• Ability to work well with other members of the Department and as part of a team.
• Has the potential to contribute to the creation of knowledge by virtue of publications and the successful supervising of Masters Candidates.

REQUIREMENTS

Masters in Information Technology or Computer Science with minimum average of 70% required and will be expected to be registered for a PhD within 3 months of appointment.

Interest in Artificial Intelligence technologies and ability to engage in Applied Artificial Intelligence research a requirement.

Experience with Internet programming, Python, C#, and database design an advantage.

Sound knowledge in the theory and application of Artificial Intelligence including software, hardware, technical as well as human aspects will be an advantage.

Having both lecturing as well as industry experience an advantage.

Applicants should provide clear information about their research and teaching experience.