Lecturer I / Senior Lecturer (Computing) at Miva Open University (Abuja & Lagos)

Miva Open University is an education company building a new kind of university targeted at the African region. Miva is a Pan- African Distance e-Learning University that is built on a couple of beliefs: Firstly, we believe that the traditional brick and mortar approach to tertiary education is no longer a viable option in serving learners on the African continent. This approach will not provide the capacity and efficacy for the people of the region.

We are building a university experience that can leverage excellent academic talent (wherever it is to be found) and digital technologies to create a new, fresh, more efficacious and more accessible tertiary experience. Our second belief is that this new tertiary experience must not only meet but exceed the existing way of doing things in terms of quality, efficacy and preparing learners for the future. We are uncompromising in these beliefs and this is why we are excited to speak to you.

We are recruiting to fill the position below:

Job Title: Lecturer I / Senior Lecturer (Computing)

Locations: Abuja (FCT) and Lagos

Overall Function

• The Department of Computing at Miva Open University is seeking a highly motivated and qualified individual for the position of Lecturer I Senior Lecturer (Computing). The Lecturer I / Senior Lecturer (Computing) role focuses on advancing academic excellence through teaching, research, and community service within the field of Computing.
• The incumbent is expected to utilize their expertise in areas such as Artificial Intelligence, Cybersecurity, Robotics, and Software Engineering to deliver quality education in an open, distance, and digital learning (ODDL) environment. This includes fostering innovation, developing industry-relevant curricula, and leveraging digital tools and AI to enhance student engagement and learning outcomes.

Key Responsibilities
Teaching and Learning:

• Deliver high-quality teaching at undergraduate and postgraduate levels in Computing and its specializations.
• Design, develop, and implement curricula, ensuring alignment with industry standards and advancements in AI, IT, and robotics.
• Employ learning management systems (e.g., Canvas, Moodle, or Blackboard) and AI tools to enhance delivery in ODL settings.
• Create engaging and innovative online course materials, including video lectures, podcasts, and interactive digital content.

Research and Academic Contributions:

• Conduct high-impact research in areas like Computer Science, Artificial Intelligence, Cybersecurity, and Software Engineering.
• Publish scholarly articles in recognized national and international peer-reviewed journals.
• Actively participate in academic conferences, workshops, and seminars to share research insights and foster collaborations.

Student Mentorship and Support:

• Provide academic advising, mentorship, and guidance to students to support their academic and professional growth.
• Develop strategies for effective student engagement in virtual and blended learning environments.

Community Engagement:

• Engage in impactful community service and development initiatives that promote the application of computing knowledge for societal benefit.
• Serve as an ambassador for the university in professional and public forums.

Leadership and Institutional Contributions:

• Contribute to academic planning, quality assurance, and the development of institutional policies.
• Participate in committees and initiatives that align with the institution's goals and values.
• Mentor junior faculty and contribute to the professional development of peers.

Professional and Technical Expertise:

• Maintain professional memberships and certifications to ensure alignment with industry developments.
• Demonstrate proficiency in using LMS platforms and integrating emerging technologies, such as AI, into teaching and research.
• Innovate and lead the development of virtual labs, simulations, and other digital resources to enhance learning outcomes.

Qualifications and Skills

• Applicant must possess Doctorate Degree (PhD) in Computer Science / Software Engineering / Cybersecurity / Information Technology / Artificial Intelligence / Robotics with a relevant area of specialty;
• MSc in Computer Science/Software Engineering/ Cybersecurity/Information Technology/Artificial Intelligence/Robotics with a relevant area of specialty; and Bachelor’s degree (B.Sc) in Computer Science. Full membership of a relevant professional body will be an added advantage.
• At least three to five years of university teaching experience in a blended or online learning environment, highlighting familiarity with digital and remote teaching tools.
• A strong publication record in peer-reviewed academic journals is often required. At least 5-10 published articles in recognized international or national journals.
• Evidence of participation in conferences, seminars, or workshops related to the candidate's field of study.
• Strong evidence of bias for use of AI tools is an added advantage.
• Strong evidence of engagement in impactful community service/development.
• Strong understanding of, and commitment to, student-centered learning in an Open, distance, and digital learning context is necessary.
• Strong oral and written communication skills, particularly the ability to communicate effectively in a virtual learning environment.
• Proficiency in the use of learning management systems (LMS) such as Canvas, Moodle, or Blackboard is essential.
• Experience in developing online course content, video lectures, and interactive digital resources (such as podcasts, discussion forums, and virtual labs) is an advantage.

Application Closing Date
28th February, 2025.