Lecturer/Professor in Data Science and Information Systems at Midlands State University – Gweru
Employer: Midlands State University | Location: Gweru | Category: Education, Training & Teaching
Job Description
The duties and responsibilities of a Lecturer/Senior Lecturer/Associate Professor/Professor are grouped into 5 main categories which are:
(a) Teaching – the incumbent is expected to teach or deliver lectures in accordance to the Department and or Faculty guidelines and standards.
(b) University Service and Community engagement – the incumbent should participate in all Department, Faculty/School and University activities such as attending meetings, training workshops, conferences and seminars, among others.
(c) Research – the incumbent is expected to engage in active research in his/her area of specialization which benefits both the students and the University.
(d) Innovations – leading to tangible products and services.
(e) Industrialisation – through commercialisation of products.
The successful candidate should be able to supervise students’ research, assess students on Work Related Learning and should be able to teach at least three (3) of the following modules (beginner, intermediate and advanced levels):
-Programming
-Databases
-Data Science
-Data and Statistical Analysis
-Artificial Intelligence.
Appointment will be made at the level of Lecturer, Senior Lecturer, Associate Professor, or Professor, depending on the successful candidate’s qualifications, experience, research output, professional standing, and overall academic achievements.
(a) Teaching – the incumbent is expected to teach or deliver lectures in accordance to the Department and or Faculty guidelines and standards.
(b) University Service and Community engagement – the incumbent should participate in all Department, Faculty/School and University activities such as attending meetings, training workshops, conferences and seminars, among others.
(c) Research – the incumbent is expected to engage in active research in his/her area of specialization which benefits both the students and the University.
(d) Innovations – leading to tangible products and services.
(e) Industrialisation – through commercialisation of products.
The successful candidate should be able to supervise students’ research, assess students on Work Related Learning and should be able to teach at least three (3) of the following modules (beginner, intermediate and advanced levels):
-Programming
-Databases
-Data Science
-Data and Statistical Analysis
-Artificial Intelligence.
Appointment will be made at the level of Lecturer, Senior Lecturer, Associate Professor, or Professor, depending on the successful candidate’s qualifications, experience, research output, professional standing, and overall academic achievements.
Requirements & Qualifications
- First degree in Data Science/Information Systems/Information Technology or equivalent with at least a 2.1 pass.
- Master’s Degree in Data Science/Information Systems/Information Technology or its equivalent.
- A PhD in Data Science/Information Systems/Information Technology or its equivalent would be an added advantage.
- Master’s Degree in Data Science/Information Systems/Information Technology or its equivalent.
- A PhD in Data Science/Information Systems/Information Technology or its equivalent would be an added advantage.
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