Associate Professor – Data Science job at King Ceasor University
Posted by: great-volunteer
Posted date: 2026-Jul-20
Location: PLOT 32, KING CEASOR ROAD, GGABA ROAD, BUNGA HILL, King Ceasor University, Bunga, Kampala, Uganda, Kampala
Associate Professor – Data Science 2026-07-20T07:08:41+00:00 King Ceasor University https://cdn.ugashare.com/jsjobsdata/data/employer/comp_4334/logo/King%20Ceasor%20University.jpg https://www.ugashare.com/jobs/ 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 2026-07-31T17:00:00+00:00 8 Background 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 academic leadership, advance Data Science research and innovation, and contribute to the University's vision of becoming a centre of excellence in data-driven research, analytics and digital transformation. Applications are invited from suitably qualified and experienced candidates for the position of Associate Professor – Data Science. Role The Associate Professor – Data Science shall report to the Head of Department, Computing, AI and Data Science and shall: - Provide academic and research leadership in Data Science education, research and innovation.
- Lead the development and delivery of undergraduate and postgraduate Data Science programmes.
- Strengthen the Department's research profile through high-quality publications, postgraduate supervision and grant acquisition.
- Mentor academic staff and contribute to curriculum development, quality assurance and programme accreditation.
- Promote strategic partnerships with industry, government, research institutions and international collaborators.
- Perform such other duties as may be assigned by the Head of Department, Dean or University Management.
Purpose of the Job To provide academic leadership in Data Science through excellence in teaching, research, innovation and postgraduate supervision; strengthen the University's research capacity in data analytics, big data and intelligent systems; promote evidence-based decision-making through data-driven research; and contribute to national and global digital transformation through impactful scholarship and innovation. Duties and Responsibilities The successful candidate shall: - Teach undergraduate and postgraduate courses in Data Science, including statistical modelling, machine learning, big data analytics, data mining, business intelligence, predictive analytics, data engineering, data governance and related disciplines.
- Lead curriculum development, programme review and accreditation to ensure compliance with National Council for Higher Education (NCHE) requirements and international best practices.
- Supervise undergraduate research projects and Master's students to completion while actively supervising or co-supervising PhD students.
- Conduct high-quality research in Data Science and publish consistently in reputable peer-reviewed journals and internationally recognised conference proceedings.
- Lead multidisciplinary research projects addressing emerging challenges in data science, artificial intelligence and digital transformation.
- Secure competitive research grants and establish collaborative research programmes with local and international partners.
- Mentor Senior Lecturers, Lecturers, Assistant Lecturers and Teaching Assistants in teaching, research, publication and professional development.
- Participate in departmental, School and University governance, quality assurance and academic planning.
- Develop partnerships with technology companies, financial institutions, government agencies, research organisations and innovation hubs to support collaborative research, consultancy and innovation.
- Promote the application of data science to solve challenges in healthcare, agriculture, finance, business, education, engineering and public policy.
- Represent the University at professional conferences, workshops, seminars and Data Science forums.
- Perform any other duties assigned by the University Management.
Candidate Specification 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 five (5) years of relevant post-PhD academic and/or industry experience, including at least three (3) years at the rank of Senior Lecturer or its equivalent.
- A minimum of five (5) peer-reviewed publications since appointment or promotion to Senior Lecturer, demonstrating sustained research productivity.
- Successful supervision of at least two (2) Master's students to completion and active supervision or co-supervision of PhD candidates.
- Demonstrated success in attracting research funding and evidence of academic leadership through programme coordination, research leadership or committee service.
Remuneration An attractive remuneration package shall be offered in accordance with King Ceasor University's Terms and Conditions of Service. Tenure The Associate Professor – Data Science shall hold office in accordance with King Ceasor University's Terms and Conditions of Service and subject to satisfactory performance. - Provide academic and research leadership in Data Science education, research and innovation.
- Lead the development and delivery of undergraduate and postgraduate Data Science programmes.
- Strengthen the Department's research profile through high-quality publications, postgraduate supervision and grant acquisition.
- Mentor academic staff and contribute to curriculum development, quality assurance and programme accreditation.
- Promote strategic partnerships with industry, government, research institutions and international collaborators.
- Perform such other duties as may be assigned by the Head of Department, Dean or University Management.
- Teach undergraduate and postgraduate courses in Data Science, including statistical modelling, machine learning, big data analytics, data mining, business intelligence, predictive analytics, data engineering, data governance and related disciplines.
- Lead curriculum development, programme review and accreditation to ensure compliance with National Council for Higher Education (NCHE) requirements and international best practices.
- Supervise undergraduate research projects and Master's students to completion while actively supervising or co-supervising PhD students.
- Conduct high-quality research in Data Science and publish consistently in reputable peer-reviewed journals and internationally recognised conference proceedings.
- Lead multidisciplinary research projects addressing emerging challenges in data science, artificial intelligence and digital transformation.
- Secure competitive research grants and establish collaborative research programmes with local and international partners.
- Mentor Senior Lecturers, Lecturers, Assistant Lecturers and Teaching Assistants in teaching, research, publication and professional development.
- Participate in departmental, School and University governance, quality assurance and academic planning.
- Develop partnerships with technology companies, financial institutions, government agencies, research organisations and innovation hubs to support collaborative research, consultancy and innovation.
- Promote the application of data science to solve challenges in healthcare, agriculture, finance, business, education, engineering and public policy.
- Represent the University at professional conferences, workshops, seminars and Data Science forums.
- Perform any other duties assigned by the University Management.
- Statistical modelling
- Machine learning
- Big data analytics
- Data mining
- Business intelligence
- Predictive analytics
- Data engineering
- Data governance
- Academic leadership
- Research leadership
- Programme coordination
- Grant acquisition
- Curriculum development
- Quality assurance
- Programme accreditation
- Strategic partnerships
- Postgraduate supervision
- Mentoring academic staff
- 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 five (5) years of relevant post-PhD academic and/or industry experience, including at least three (3) years at the rank of Senior Lecturer or its equivalent.
- A minimum of five (5) peer-reviewed publications since appointment or promotion to Senior Lecturer, demonstrating sustained research productivity.
- Successful supervision of at least two (2) Master's students to completion and active supervision or co-supervision of PhD candidates.
- Demonstrated success in attracting research funding and evidence of academic leadership through programme coordination, research leadership or committee service.
JOB-6a5dc9796b2ca Vacancy title:
Associate Professor – Data Science 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 JOB DETAILS:
Background 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 academic leadership, advance Data Science research and innovation, and contribute to the University's vision of becoming a centre of excellence in data-driven research, analytics and digital transformation. Applications are invited from suitably qualified and experienced candidates for the position of Associate Professor – Data Science. Role The Associate Professor – Data Science shall report to the Head of Department, Computing, AI and Data Science and shall: - Provide academic and research leadership in Data Science education, research and innovation.
- Lead the development and delivery of undergraduate and postgraduate Data Science programmes.
- Strengthen the Department's research profile through high-quality publications, postgraduate supervision and grant acquisition.
- Mentor academic staff and contribute to curriculum development, quality assurance and programme accreditation.
- Promote strategic partnerships with industry, government, research institutions and international collaborators.
- Perform such other duties as may be assigned by the Head of Department, Dean or University Management.
Purpose of the Job To provide academic leadership in Data Science through excellence in teaching, research, innovation and postgraduate supervision; strengthen the University's research capacity in data analytics, big data and intelligent systems; promote evidence-based decision-making through data-driven research; and contribute to national and global digital transformation through impactful scholarship and innovation. Duties and Responsibilities The successful candidate shall: - Teach undergraduate and postgraduate courses in Data Science, including statistical modelling, machine learning, big data analytics, data mining, business intelligence, predictive analytics, data engineering, data governance and related disciplines.
- Lead curriculum development, programme review and accreditation to ensure compliance with National Council for Higher Education (NCHE) requirements and international best practices.
- Supervise undergraduate research projects and Master's students to completion while actively supervising or co-supervising PhD students.
- Conduct high-quality research in Data Science and publish consistently in reputable peer-reviewed journals and internationally recognised conference proceedings.
- Lead multidisciplinary research projects addressing emerging challenges in data science, artificial intelligence and digital transformation.
- Secure competitive research grants and establish collaborative research programmes with local and international partners.
- Mentor Senior Lecturers, Lecturers, Assistant Lecturers and Teaching Assistants in teaching, research, publication and professional development.
- Participate in departmental, School and University governance, quality assurance and academic planning.
- Develop partnerships with technology companies, financial institutions, government agencies, research organisations and innovation hubs to support collaborative research, consultancy and innovation.
- Promote the application of data science to solve challenges in healthcare, agriculture, finance, business, education, engineering and public policy.
- Represent the University at professional conferences, workshops, seminars and Data Science forums.
- Perform any other duties assigned by the University Management.
Candidate Specification 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 five (5) years of relevant post-PhD academic and/or industry experience, including at least three (3) years at the rank of Senior Lecturer or its equivalent.
- A minimum of five (5) peer-reviewed publications since appointment or promotion to Senior Lecturer, demonstrating sustained research productivity.
- Successful supervision of at least two (2) Master's students to completion and active supervision or co-supervision of PhD candidates.
- Demonstrated success in attracting research funding and evidence of academic leadership through programme coordination, research leadership or committee service.
Remuneration An attractive remuneration package shall be offered in accordance with King Ceasor University's Terms and Conditions of Service. Tenure The Associate Professor – Data Science shall hold office in accordance with King Ceasor University's Terms and Conditions of Service and subject to satisfactory performance. Work Hours: 8 Experience in Months: 12 Level of Education: postgraduate degree Job application procedure
Interested in applying for this job? kcu.ac.ug&form%5Bvalid-to%5D=Friday,%20July%2031%202026">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, teaching effectiveness, research achievements, leadership ability, 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 ASSOCIATE 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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