Teaching Assistant in the Faculty of Engineering (Ref.: 537560), (to commence as soon as possible, on a two-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary, with possibility of renewal subject to satisfactory performance and funding availability).
The Faculty of Engineering is introducing new hands-on, project-based learning experiences into its curriculum to foster deeper engagement among undergraduate students. A key focus is on teaching Artificial Intelligence (AI) while emphasizing the development of practical, real-world solutions for engineering challenges.
We are looking for candidates with hands-on experience building AI solutions with the use of tools such as computer vision, large language models, agentic AI, and reinforcement learning. Ideal applicants will have a passion for leveraging these technologies to enhance teaching and learning experiences in engineering education.
Requirements:
Applicants should:
- Hold a Bachelor’s or higher degree in Computer Science or a related discipline, with experience in engineering-related fields.
- Demonstrate strong programming skills, particularly in Python.
- Have hands-on expertise in areas such as:
- Computer vision,
- Large language models,
- Reinforcement learning, and/or
- Agentic AI.
- Possess strong communication skills, including fluency in written and spoken English.
- Preference will be given to candidates with experience in teaching support, industrial applications, or mentoring student projects.
Role and Responsibilities:
The appointee will work as part of an innovative teaching team responsible for introducing new hands-on, project-based learning experiences into its curriculum to foster deeper engagement among undergraduate students in Faculty of Engineering. Responsibilities include:
- Supporting faculty in the preparation and teaching of AI-driven courses.
- Conducting tutorials and guiding students in building practical AI solutions for specific engineering problems.
- Providing constructive feedback to students on projects and assignments involving AI tools and techniques.
- Maintaining course-related materials, records, and databases.
- Facilitating communication between students and faculty members.
- Assisting in the organization of workshops, seminars, and industry partnerships aimed at exposing students to practical and industrial AI applications.
- Performing additional duties as required, including work outside normal office hours when necessary.
Shortlisted candidates will be invited to a written test and interview. If you're passionate about AI, building solutions, and hands-on teaching, we encourage you to apply.
A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.
The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until November 30, 2026 or until the post is filled, whichever is earlier.
