Lecturer I (Computer Science) at University of Agriculture, Science and Technology (UAST), Ihugh

JOB PURPOSE

• Lecturer I denotes academic maturity and leadership in computing; a scholar-engineer who coordinates courses and laboratories, mentors others, advances impactful research, and anchors UAST’s ambition to be a reference point for applied computer science in Africa.
• The job purpose is to deliver high-quality independent teaching and laboratory leadership, lead impactful computer science research and innovation, mentor junior staff, and contribute strategically to institutional governance and accreditation.

KEY DUTIES AND RESPONSIBILITIES

• Coordinate core Computer Science courses and advanced laboratories.
• Supervise undergraduate research and capstone projects.
• Lead/co-lead funded research, software platforms or AI/data initiatives.
• Publish in reputable journals; engage industry and public-sector stakeholders.
• Serve on School/University committees and accreditation teams.

Minimum Qualifications

• PhD in Computer Science or Senate-approved cognate with strong computing scholarship.
• Minimum of four (4) publications in reputable peer-reviewed journals.
• Evidence of software patents, platforms, tools or high-impact applied solutions is an advantage.
• Academic Qualifications (Mandatory)
• PhD in Computer Science or Senate-approved cognate with strong computing scholarship.
• Minimum of four (4) publications in reputable peer-reviewed journals.
• Evidence of software patents, platforms, tools or high-impact applied solutions is an advantage.

 MINIMUM EXPERIENCE REQUIREMENT

• At least three (3) years as Lecturer II (or equivalent).
• Active membership of recognised national/international computing professional bodies.

REQUIRED SKILLS AND COMPETENCIES

• Teaching excellence; research leadership; mentoring; strategic computing vision; interdisciplinary collaboration.

PERSONAL ATTRIBUTES

• Strategic thinking in digital systems and computing education.
• Ethical stewardship of data, software and AI systems.
• Capacity to translate research into deployable solutions and policy advice.
• Strong mentorship culture and institutional loyalty.
• Deep alignment with UAST’s innovative, secure and Africa-centred digital future.