Background information about the job or company (e.g., role context, company overview)

King Ceasor University (KCU) is a chartered private university committed to academic excellence, innovation, research and quality assurance in higher education. Through its School of Science, Computing and Engineering, the University seeks to recruit distinguished scholars to provide strategic academic leadership, advance Data Science research and innovation, and strengthen the University's position as a centre of excellence in data-driven research, analytics and digital transformation.

Responsibilities or duties

The Professor – Data Science shall report to the Dean, School of Science, Computing and Engineering and shall:

• Provide strategic academic leadership in Data Science education, research, innovation and postgraduate training.
• Lead the planning, development and continuous improvement of undergraduate and postgraduate Data Science programmes.
• Strengthen the University's research profile through internationally recognised scholarship, research collaborations and innovation.
• Mentor academic staff, postgraduate students and researchers while building sustainable research capacity within the Department.
• Promote data-driven innovation through strategic partnerships with industry, government and international institutions.
• Perform such other duties as may be assigned by the Vice Chancellor, Deputy Vice Chancellor (Academic Affairs), Dean or University Council.

PURPOSE OF THE JOB

To provide strategic leadership in Data Science education through excellence in teaching, research, innovation and postgraduate supervision; strengthen the University's competitiveness in data analytics and intelligent systems research; promote evidence-based decision-making through advanced data science; foster national and international collaborations; and contribute to solving societal and industrial challenges through data-driven innovation.

DUTIES AND RESPONSIBILITIES

The successful candidate shall:

• Provide strategic leadership in the planning, delivery and continuous improvement of undergraduate and postgraduate Data Science programmes.
• Lead curriculum development, programme review and accreditation to ensure compliance with National Council for Higher Education (NCHE) requirements and international quality standards.
• Teach specialised undergraduate and postgraduate courses in Data Science and supervise Master's and PhD students to successful completion.
• Lead internationally recognised research programmes in Data Science, big data analytics, artificial intelligence and related computing disciplines.
• Publish consistently in high-impact peer-reviewed journals and present research findings at leading international conferences.
• Secure and lead major competitive research grants, consultancy projects and multi-institutional research collaborations.
• Mentor Associate Professors, Senior Lecturers, Lecturers and early-career researchers in teaching, research, publication, grant writing and academic leadership.
• Promote innovation, technology transfer and commercialization of data-driven research and analytical solutions.
• Establish strategic partnerships with technology companies, financial institutions, government agencies, research institutions and international universities to support collaborative research, innovation and graduate employability.
• Provide leadership in departmental, School and University governance through committees, Senate, strategic planning and policy development.
• Promote the application of Data Science in healthcare, agriculture, finance, engineering, business, education, environmental  management and public policy.
• Represent the University at national and international conferences, professional associations and Data Science forums.
• Perform any other duties assigned by the University Management.

Qualifications or requirements (e.g., education, skills)

Academic Qualifications and Experience

Applicants must possess:

• An earned PhD in Data Science, Computer Science, Statistics, Artificial Intelligence, Machine Learning or a closely related discipline from a recognised university.
• A Bachelor's and a Master's degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence or a related discipline.
• A minimum of seven (7) years of relevant post-PhD academic and/or industry experience, including at least three (3) years at the rank of Associate Professor or its equivalent.
• A minimum of eight (8) peer-reviewed publications since promotion to Associate Professor, demonstrating sustained research productivity and international academic recognition.
• Successful supervision of at least two (2) PhD and five (5) Master's students to completion.
• Demonstrated success in securing and managing competitive research funding.
• Evidence of strategic academic leadership at departmental, faculty or institutional level.

Interested applicants are invited to submit their application letters. A complete application shall comprise:

• A signed letter of application.
• A statement outlining the applicant's vision for advancing pharmacy education, research, innovation and community engagement at King Ceasor University.
• A signed and dated Curriculum Vitae with contact details.
• Copies of academic publications.
• Certified copies of academic transcripts and certificates.
• Evidence of current professional registration and practising licence.
• Three (3) letters of recommendation.
• Copies of appointment letters to relevant academic, clinical or leadership positions.
• A copy of the National Identity Card or passport.
• Referees should be advised to send confidential reference letters directly to the University before the closing date.
• References should address the applicant's academic qualifications, teaching effectiveness, professional competence, research achievements, leadership ability, professional conduct and personal integrity.

Both Hardcopy and Electronic mail) applications shall be accepted.

(a) Hardcopy Applications

Confidential letters and sealed applications marked: “CONFIDENTIAL: POSITION OF SENIOR LECTURER – PHARMACY” should be addressed to:

HUMAN RESOURCE MANAGER
KING CEASOR UNIVERSITY
PLOT 32, KING CEASOR ROAD, GGABA ROAD, BUNGA HILL
P.O. BOX 88, KAMPALA, UGANDA

(b) Electronic (mail) Applications

Electronic applications should have all the above documents scanned by 5:00 pm East African Standard Time on 31st July 2026.