LECTURER - ARTIFICIAL INTELLIGENCE

Rosebank College, the Independent Institute of Education (The IIE) is one of the leading private higher education institutions in the country registered with the Department of Higher Education and Training. For over 70 years IIE Rosebank College has delivered quality tertiary education to students across South Africa. Situated in bustling cities, IIE Rosebank College embraces the same vibrant environment which allows over 20 000 students to connect with the heart of the institution. Our exceptional growth is creating a once in a life-time opportunities to suitable incumbents.

As Rosebank College takes bold steps to expand its range of qualifications, we are actively working towards accreditation as a premier education and training provider for an array of exciting new programmes. Central to this endeavour is the commitment to maintaining a team of exceptionally qualified staff. If you are driven by a passion for education and envision yourself contributing to our institution's growth, we invite you to be part of our journey. While we gear up for these forthcoming opportunities, we're eager to connect with individuals who share our dedication to excellence. To express your interest and be considered for possible future positions, we kindly request that you submit your CV via the following link. This will ensure that your profile becomes part of our talent pool for the upcoming expansion.

Job Purpose:

To teach / lecture an agreed number of hours based on module specialisation requirements. To engage and prepare students for assessments by tracking module pacers, identifying and supporting at risk students, managing general student administrative support, and developing assessments by engaging with the Central Academic Team. Assisting the Programme Coordinator in tracking and analysing of academic results to evaluate the performance of the module and to identify “at risk modules.”

Duties & Responsibilities:

• Deliver lectures and engage students based on module-specific requirements in line with module pacers.
• Manage resources including academic materials and consulting with the Information Centre
• Update learning management system and provide feedback to students.
• Engage and prepare students for assessments, identify at risk students, and develop assessments in accordance with Central Academic Team briefings.
• Monitor student engagement as well as assessment submission with relevant escalation.
• Attend and participate in academic meetings across all faculties.
• Reflect on, review, and analyse student module result.
• Support the monitoring of at-risk student in modules assigned to lecture.
• Academic Professional Development: complete a set number of academic professional development interventions per academic cycle (one year) that contribute to the improvement of the Brand’s Teaching-Learning practice and personal professional academic status.

Minimum Requirements:

• Master's degree (NQF Level 9) in AI and Machine Learning, Information Systems, Computer Science, Information Technology, Computing or a closely related discipline.
• A master’s degree (NQF Level 9) in a business-related field with an information technology or information system module or research that includes information technology or information systems.
• Lecturing/tutoring experience: Lecturing experience in artificial intelligence, machine learning, data analytics, programming or related computational disciplines.
• Work experience: Relevant Higher Education teaching experience and/or industry experience in Artificial Intelligence and machine learning. Research, scholarly publication, and postgraduate supervision experience will be advantageous.
• 2 to 3 years Lecturing or Formal Tutoring.
• 1 to 3 years of industry-specific experience in area of specialisation will be advantageous.
• One NQF level higher than the qualification being taught.
• Copy of academic transcript.

Key Competencies:

• Knowledge and understanding of the South African higher education systems and regulatory framework.
• Knowledge and understanding of the Teaching and Learning theory and interventions.
• The ability to provide student support services.
• The ability to work with and learn more about digitalized academic platforms.
• The ability to cope with a frequently changing environment and to adapt to evolving situations.
• Ability to adhere to rules and strictly follow work regulations.
• Deadline orientated and can work well under pressure.
• Ability to manage time effectively.

Working Hours:

Classes are scheduled from 08h00am until 17h00pm, Monday to Friday. Your working hours will depend on the modules allocated to you. 

Salary:

Market related.