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.