Job Description
The University seeks a Lecturer with expertise in AI and Data Analytics for the ICT Department. This role involves teaching, research, and academic development within the department.
Responsibilities:
* Design, develop, and deliver courses in AI, Machine Learning, Data Analytics, Software Development, and related areas.
* Prepare course outlines, lesson plans, and assessments in alignment with the program curriculum.
* Conduct academic performance assessments, and development of instructional content for course enhancement, curriculum development, and updating.
* Supervise students' research projects, internships, and capstone projects.
* Conduct research in AI, data analytics, software engineering, or related areas.
* Publish in peer-reviewed journals and present at academic conferences.
This role also involves creating pedagogic documents, reviewing other lecturers' content, participating in curriculum development, engaging in community outreach, industry collaboration, and professional development activities, as well as conducting training programs and workshops.
Required Skills and Qualifications
At least 3 years of teaching or professional experience in AI, Data Analytics, or Software Development, with proven experience with programming languages such as Python, Java, C++, C#, or R. Industry experience in AI/ML projects, data analytics solutions, or software development is an advantage.
* Minimum: Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a closely related field.
* Preferred: PhD is an advantage.
* Advanced experience in Python, Java, C++.
* Strong knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
* Proficiency in data analytics tools and visualization platforms (e.g., Power BI, Tableau, SQL).
Strong analytical and problem-solving skills, commitment to continuous professional development and research, organized, rigorous, reliable, excellent communication, presentation, and interpersonal skills are required.
Benefits
The successful candidate will have opportunities for scholarly publications, conference presentations, and industry reports in relevant fields, as well as participation in departmental, faculty, and university meetings, events, seminars, and outreach activities.
Others
Interview sessions will include a 15-minute presentation on relevant experiences and projects within the area of specialization, as well as innovative ideas as a researcher and academic staff for faculty improvement.