Qualification and experience

• A minimum of a relevant PhD, master's and bachelor's degree in Data science and statistics or a relevant field from an accredited and recognised University.
  
• At least 3 years of teaching/research experience at the University level as a Lecturer/ Research Fellow.
  
• Is a member to a relevant professional body.
  
• Has demonstrated firm commitment to sustainability in their previous roles.
  
• Has evidence of publications as a Lecturer/Research Fellow.
  
• Has demonstrable leadership and administrative experience. Experience as a Senior Lecturer, programme leader, post graduate coordinator or other relevant management experience will be highly considered.
  
• Supervised at least two (2) postgraduate students to completion.
  
• Attracted research funds.
  
• Has evidence of attending and contributing at academic conferences, seminars and workshops.
  
• A technological visionary with the agility to lead the school to stay relevant in the rapidly changing technological landscapes.
  
• Demonstrable skills as a strategic leader who bridges academia and industry, focusing on sustainable growth and market-driven educational value.
  
• Is up to date with industry standards and has established noteworthy linkages with the industry.
  

• eaching Data Science/Statistics units allocated by the Head of Department.
  
• Designing, developing, planning and delivering a range of programmes of study, sometimes for entirely new courses at various levels.
  
• Delivering high-quality lectures.
  
• Reviewing course content and materials on a regular basis, updating when required.
  
• Collaborating with academic colleagues on course development, curriculum changes and the development of research activities.
  
• Carrying out research and writing research grant proposals.
  
• Seeking and participating in consultancies.
  
• Presenting research papers at national or international conferences and other similar events.
  
• Disseminating research outputs.
  
• Providing mentorship and career guidance to students and staff.
  
• Any other duty that may be assigned from time to time by the supervisor.