Computer Science Lecturer at Riara University

DUTIES & RESPONSIBILITIES
Teaching and Mentorship:

• Offer leadership in developing demand driven course materials and supervision of teaching, assessment of programs/unit allocated and guide research;
• Work closely with the Dean and team members to develop and enhance delivery of curriculum through various modes of delivery i.e., blended learning; online learning, face to face, etc;
• Be involved in teaching and mentorship of both undergraduate and postgraduate students;
• Deliver instructor led sessions, monitor student progress during training, provide support and advice to enable the students to gain competence in the units taught;
• Assist the School in identifying, developing and rolling out marketing strategies and activities for the School’s programmes;
• Be actively involved in curriculum development/review activities.

Research and Scholarship:

• Conduct research aimed at producing cutting edge innovations and publications in peer reviewed journals, book chapters, and books;
• Forge partnership with universities and other relevant stakeholders for research and innovation activities;
• Provide guidance and assistance to students and other teaching faculty in developing their capacity for teaching and research;
• Assist in identifying research and scholarship opportunities and actively participate in development of funding proposals;
• Develop partnerships for securing social and monetary resources to conduct research;
• Guide and supervise both undergraduate and post-graduate students in project papers and research;
• Foster the culture of research within the School and expose other staff to useful networks inside and outside the university.

Community Engagement:

• Contribute to mentorship and supervision of students undergoing internship and community service;
• Identify opportunities for students to participate, including students’ led workshops, seminars, hackathons and competitions;
• Assist in organizing and guiding students to participate in community service, and similar platforms that enhance student’s life-long learning and professional development;
• Contribute to the University’s vision by forging close working relationship with colleagues and staff at large.

MINIMUM QUALIFICATIONS

• PhD in Computing Sciences, Information Technology or Business Information Technology with specialization in Data-Science, Computational Intelligence, Cyber Security or related subjects appropriate to the discipline.
• Published in peer reviewed journals and attended conferences.
• Supervised post-graduate students at Masters and PhD level.
• Creative and innovative team player.
• Expert knowledge in their field as well as relevant experience and the ability to teach, using a variety of student-based learning approaches, on a range of academic and professional programmes.
• A team player with excellent interpersonal skills.