Posted 4 days ago
Lecturer/ Senior Lecturer (College of Computing and Data Science)
AI Summary
Teaches undergraduate and graduate courses in computing and data science areas such as AI ethics, software engineering, cybersecurity, and cloud computing; develops curriculum, assessments, and course materials; and supports student learning and academic supervision.
About this role
Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and #6 for Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.
A hot bed of cutting-edge technology and groundbreaking research, the college aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.
CCDS invites applications for multiple positions of Lecturer or Senior Lecturer, each requiring industry and/or academic experience in one or more of the following, or closely related, areas:
- AI Ethics and Responsible AI
- Software Engineering
- Programming Fundamentals
- Algorithms and Problem Solving
- Software Design and Paradigms
- Cybersecurity
- Embedded Systems and IoT
- Digital System Design, Interfacing and Control
- Signals and Systems, Digital Signal Processing
- UX/UI Design and Design Thinking
- Cloud Computing
- Computer Networks
- Virtual and Augmented Reality
- Game Design
Responsibilities:
- Facilitates and conducts all teaching assignments, both face-to-face and virtual delivery.
- Develops, designs, and continuously improves curriculum plans, course outlines, course content, evaluation procedures and instruments to foster student learning, stimulate class discussions, and ensure student engagement.
- Develops an instructional plan (known as a course outline or syllabus) for the course(s) they teach and ensures that it meets college and school standards.
- Supports course administration such as course coordinatorship, course evaluation, online course materials, attendance records, academic counselling on student progress.
- Conducts assessments, marking and grade entries, feedback to students, student consultations, non-academic matters etc.
- Develops course materials (including but not limited to lectures, tutorials, laboratory work, assignments and projects, quizzes, tests and examinations) and learning resources for course delivery and support students’ learning.
- Provides regular course and student progress statistics for reporting and strategic decision making.
- Conducts competent undergraduate and graduate level teaching, including academic supervision of undergraduate and graduate students and projects.
- Demonstrates values and principles of professional conduct in all endeavours.
- Carries out assigned service duties to the School, University and the public at large.
- Any other assigned duties
Requirements:
Candidates should be passionate about teaching and learning, hold a PhD or at least a Master's degree in related disciplines, and have excellent communication skills. The College seeks individuals who have relevant industry experience and demonstrable university-level teaching ability to educate the next-generation leaders in Computing and Data Science.
Review of applications and shortlisting decision will be on an on-going basis until the positions are filled. Interested applicants are invited to submit their applications through the NTU career portal by clicking the “Apply” button. To facilitate the process, please submit the following documents if applicable.
- Full Curriculum Vitae
- Statement of Teaching and Research
- Research sample(s)
- Letters of Recommendation(s)
Skills
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