Professor – Data Science
2026-07-20T06:51:32+00:00
King Ceasor University
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FULL_TIME
PLOT 32, KING CEASOR ROAD, GGABA ROAD, BUNGA HILL
King Ceasor University, Bunga, Kampala, Uganda
Kampala
00256
Uganda
Education, and Training
Education, Science & Engineering, Computer & IT, Management
2026-07-31T17:00:00+00:00
8
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.
- 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.
- 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.
- Strategic academic leadership
- Data Science education, research, innovation and postgraduate training
- Planning, development and continuous improvement of undergraduate and postgraduate Data Science programmes
- Research profile enhancement through scholarship, collaborations and innovation
- Mentoring academic staff, postgraduate students and researchers
- Building sustainable research capacity
- Promoting data-driven innovation through strategic partnerships
- Curriculum development, programme review and accreditation
- Teaching specialised undergraduate and postgraduate courses in Data Science
- Supervising Master's and PhD students
- Leading internationally recognised research programmes in Data Science, big data analytics, artificial intelligence and related computing disciplines
- Publishing consistently in high-impact peer-reviewed journals
- Presenting research findings at leading international conferences
- Securing and leading major competitive research grants, consultancy projects and multi-institutional research collaborations
- Mentoring Associate Professors, Senior Lecturers, Lecturers and early-career researchers
- Promoting innovation, technology transfer and commercialization of data-driven research and analytical solutions
- Establishing strategic partnerships
- Providing leadership in departmental, School and University governance
- Promoting the application of Data Science in various sectors
- Representing the University at national and international forums
- 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.
JOB-6a5dc574b8fcf
Vacancy title:
Professor – Data Science
[Type: FULL_TIME, Industry: Education, and Training, Category: Education, Science & Engineering, Computer & IT, Management]
Jobs at:
King Ceasor University
Deadline of this Job:
Friday, July 31 2026
Duty Station:
PLOT 32, KING CEASOR ROAD, GGABA ROAD, BUNGA HILL | King Ceasor University, Bunga, Kampala, Uganda | Kampala
Summary
Date Posted: Monday, July 20 2026, Base Salary: Not Disclosed
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JOB DETAILS:
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.
Work Hours: 8
Experience in Months: 12
Level of Education: postgraduate degree
Job application procedure
Interested in applying for this job? Click here to submit your application now.
Interested applicants are invited to submit their applications comprising:
- A signed letter of application.
- A statement outlining the applicant's vision for advancing Data Science education, research, innovation and data-driven decision-making at King Ceasor University.
- A signed and dated Curriculum Vitae with contact details of three (3) referees.
- Copies of academic publications.
- Certified copies of academic transcripts and certificates.
- Copies of previous appointment letters to relevant academic or professional positions.
- A copy of the National Identity Card or passport.
- Three (3) confidential letters of recommendation.
- Referees should submit confidential reference letters directly to the University before the closing date.
- References should address the applicant's academic qualifications, research achievements, teaching effectiveness, leadership, professional conduct and suitability for appointment.
Both Hardcopy and Electronic (mail) applications shall be accepted.
(a) Hardcopy Applications
Confidential letters and sealed applications marked:
“CONFIDENTIAL: POSITION OF PROFESSOR – DATA SCIENCE”
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.
Please Note That:
- Incomplete applications or applications received after the closing date and time will not be considered.
- Only shortlisted applicants shall be contacted.
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