22 Oct
UNIVERSITY OF JOHANNESBURG
Newcastle
The University of Johannesburg (UJ) is a vibrant and cosmopolitan university, anchored in Africa and driven by a powerful strategy focused on attaining global excellence and stature (GES). With an emphasis on independent thinking, sustainable development, and strategic partnerships, UJ is an international university of choice. The University is guided by the Vice-Chancellor’s vision of “Positioning UJ in the Fourth Industrial Revolution (4IR) for societal impact in the context of the changing social, political, and economic fortunes of Africa”.
The Department of Applied Information Systems (AIS) forms part of the School of Consumer Intelligence and Information Systems,
one of the six schools within the College of Business & Economics. The Department of Applied Information Systems strives to be the preferred provider of comprehensive and innovative ICT education, training, and research programmes to benefit industry and broader society. The Department is actively recruiting for a Lecturer to join its team of seasoned academics. Job Description: We seek a highly motivated and visionary academic to join our team in the discipline of Information Technology/ Applied Data Science or related fields. The ideal candidate will be committed to excellence in teaching, research, and community engagement. You will be responsible for delivering undergraduate and postgraduate courses, supervising student research, contributing to the ongoing development of our IT and applied data science curriculum, and, where appropriate, interacting with the internal and external community to work towards the mission of the University of Johannesburg Responsibilities: The incumbent will be expected to:Teach,
supervise and assess students.Prepare study material and be available for consultation.Conduct and publish innovative research in top-tier journals. Secure external research funding through grant writing and collaborative projects.Mentor and supervise undergraduate and postgraduate student research projects, including Honours, Masters, and PhD students.Improve and increase personal knowledge of the relevant field of study through research and publications.Commit to excellence in productive research and postgraduate supervision.Contribute to the development and enhancement of the data science curriculum, ensuring it stays aligned with industry trends and academic standards.Share in the administration and management of the Centre, e.g.
Post Graduate Portfolio.Invigilate during University examinations or assessments.Ensure that students adhere to the University's Rules and Regulations.Participate in official gatherings of the University and committees to which the incumbent has been nominated.Participate in official meetings of the Centre, School, and College.Do anything reasonably requested by the HoC, the School Director, or the Executive Dean.Engage in outreach activities, including participation in academic conferences, workshops, and seminars. Building on partnerships with industry, government, and other academic institutions.Participate in University-linked community development projects and/or play the role of a public intellectual,
where appropriate.Engage industry /organizations.Collaborate with other Universities and other research institutions within South AfricaCollaborate with international Universities and institutions.
Masters (or reading towards a PhD) in Information Technology, Computer Science, Data Science, or related fields.Registration with a Professional bodyTwo (2) years' of university lecturing experienceApplied data science or data scienceData analyticsExcellent communication and interpersonal skills.A commitment to diversity and inclusion within the academic community. Competencies and Behavioural Attributes: Lecturing and supervisionPublish research results in journals or conference proceedingsGuiding and supporting students and, where applicable, junior staffSupervision of postgraduate studentsAcademic planning, organizing,
and administrationExperience with data science tools and programming languages such as Python, R, SQL, and machine learning frameworks.Demonstrated experience in interdisciplinary research and collaboration Recommendations: Knowledge of university policies, procedures, and processes. Enquiries: Enquiries regarding the job content: Dr Nazeer Joseph on Tel: (011) 559 1510Enquiries regarding remuneration & benefits: Mrs Antoinette Kanfer (HCM Business Partner) on Tel: (011) 559 2548