Adjunct Lecturer for Artificial Intelligence

Job Summary

The Lecturer will be responsible for delivering high-quality teaching and learning experiences for students enrolled in the Advanced Diploma in Artificial Intelligence (AI) programme.

The role involves developing and delivering course materials, facilitating practical learning activities, assessing student performance, and ensuring that the curriculum remains relevant to current AI technologies and industry practices.

Key Responsibilities

1. Teaching and Learning

• Deliver lectures, tutorials, workshops and practical sessions related to Applied Artificial Intelligence.

• Teach students fundamental and advanced concepts in AI, machine learning and related technologies.

• Facilitate hands-on learning activities, projects and case studies to develop students' practical AI skills.

• Guide students in applying AI tools and technologies to solve real-world problems.

• Provide academic support and consultation to students when required.
  

2. Curriculum Development

• Develop, review and update teaching materials, lesson plans and assessment resources.

• Ensure course content is aligned with programme learning outcomes and industry developments.

• Incorporate relevant AI applications, tools and technologies into teaching activities.

• Recommend improvements to the curriculum to enhance students' learning experiences.
  

3. Assessment and Student Progress

• Prepare, administer and mark assignments, examinations, projects and other assessments.

• Monitor and evaluate students' academic progress.

• Provide constructive feedback to support students' learning and development.

• Maintain accurate student assessment records and submit results within stipulated deadlines.|
  

4. Modules to Be Taught

• Deliver lectures, tutorials, workshops and practical sessions for the Advanced Diploma in Artificial Intelligence programme.

• Teach and facilities the following modules:

i. Applied Machine Learning and Deep Learning

ii. Microsoft Azure AI and Microsoft Foundry

iii. AWS AI Foundation Models and Amazon Bedrock

• Deliver theoretical and practical lessons, incorporating hands-on exercises, case studies and real-world applications

• Guide students in developing practical AI skills and applying relevant technologies to solve real-world problems.
  

5. Academic Administration

• Maintain accurate attendance and academic records.

• Participate in academic meetings, programme reviews and curriculum discussions.

• Comply with institutional policies, academic standards and quality assurance requirements.

• Assist with other academic-related duties and responsibilities as assigned.

Qualifications

• Bachelor's Degree in Artificial Intelligence, Computer Science, Information Technology, Data Science or a related discipline.

• Master's Degree in a relevant field would be an advantage.

Experience

• Minimum 2 years of teaching or training experience in AI, computer science or related disciplines.

• Industry experience in AI development, data analytics, machine learning or software development would be an advantage.

• Experience in curriculum development and student assessment is preferred.

Technical Skills and Knowledge

• Strong knowledge of Applied Machine Learning and Deep Learning.

• Familiarity with Microsoft Azure AI services and Microsoft Foundry.

• Experience with AWS AI Foundation Models and Amazon Bedrock.

• Proficiency in programming languages such as Python.

• Familiarity with AI tools, frameworks and platforms.

• Knowledge of Generative AI, Large Language Models (LLMs) and their practical applications.

• Fluency in both spoken and written English and Chinese language is preferred in order to communicate and handle documents in both languages
  

Other Requirements

• Strong communication and presentation skills.

• Good classroom management and student engagement skills.

• Ability to work independently and collaboratively with the academic team.

• Passion for teaching and continuous professional development.