Deskripsi Pekerjaan
Nanyang Technological University (NTU), Singapore, a world-class research-intensive university, is seeking an experienced and passionate Part-Time Lecturer to deliver the IN6242 Deep Learning Foundations module at the Wee Kim Wee School of Communication and Information (WKWSCI). This is an excellent opportunity for industry experts or academic professionals to shape the next generation of data scientists and AI practitioners.
In this role, you will lead postgraduate students through the core principles of deep learning, covering neural network architectures, optimization algorithms, and practical applications in information science. The course is structured for a flexible 3-hour weekly delivery format, allowing you to balance professional commitments with impactful teaching. You will foster a rigorous learning environment, facilitate hands-on laboratory sessions, and provide mentorship to students navigating the complexities of modern machine learning frameworks.
We are looking for an individual with deep technical expertise in deep learning, a knack for simplifying complex concepts, and a commitment to academic excellence. If you are passionate about AI education and want to contribute to a top-tier global university, we invite you to apply.
Tanggung Jawab
- Deliver weekly 3-hour lectures for the IN6242 Deep Learning Foundations module.
- Prepare and update instructional materials, including lecture slides, case studies, and hands-on coding assignments.
- Conduct lab sessions and provide technical guidance on deep learning frameworks like PyTorch or TensorFlow.
- Evaluate student performance through assessments, projects, and final examinations.
- Provide mentorship and academic consultation to postgraduate students regarding AI research and application.
- Collaborate with faculty leads to ensure course curriculum aligns with industry trends and university standards.
- Manage administrative tasks related to course delivery and student engagement via the university learning management system.
Kualifikasi
- PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Proven expertise in Deep Learning, Neural Networks, and machine learning model deployment.
- Hands-on experience with industry-standard deep learning libraries (e.g., PyTorch, TensorFlow, Keras).
- Strong communication and presentation skills, with the ability to explain complex mathematical and technical concepts clearly.
- Prior experience in teaching or facilitating training sessions at a tertiary or professional level is highly desirable.
- Solid understanding of Python programming and data science workflows.
- Ability to commit to a consistent weekly schedule during the academic semester.