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KCA University
Education + 1 more
Graduate Assistant in Data Science and Artificial Intelligence
Closed for applications
Description
Qualifications And Experience
- A Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, Software Engineering, Information Technology, or a closely related field from an accredited and recognised university.
- A strong academic record (at least Second-Class Upper Division or equivalent). First class is an added advantage.
- Must be currently enrolled in a Master’s Degree program.
- Demonstrated interest in research, teaching or consultancy.
- Proficiency in programming, data analysis, or AI-related tools will be an added advantage.
- Strong verbal and written communication skills
- Basic teaching and presentation skills
- Analytical and problem-solving skills
- Strong organisational and time management skills.
- Willingness to learn and work collaboratively
Responsibilities
- Teaching and Learning
- Assist lecturers in preparing teaching materials, tutorials, and coursework.
- Facilitate discussion groups, tutorials, or practical sessions where required.
- Support marking of assignments, tests, and examinations under supervision.
- Provide academic support and guidance to students.
- Research Coordination
- Engage in research activities, including literature reviews, data collection, and analysis.
- Help with research projects, including preparing reports, presentations, and grant development.
- Administrative and Student Support
- Assist departments in maintaining student records and data entry.
- Support in organising departmental activities, including seminars, workshops, guest lectures and ceremonies.
- Support administrative duties within the department as assigned.
- Assist in organising students’ activities.
- Provide student support and Services and refer them to support services as appropriate.
- Supervise undergraduate interns where applicable.
- Attend departmental and faculty meetings where required.
- Any other duties as may be assigned from time to time.
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