Lecturer, Engineering Science: AI, Robotics & Applied R&D

sggovterp; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

sggovterp is recruiting a Lecturer, Engineering Science in the School of Engineering on a 2-year contract. You will teach and develop modules, and conduct training for adult learners while working on technology projects.

Responsibilities include curriculum development, facilitating student learning, conducting assessments, and engaging in industry collaboration across Embodied AI, ML/DL, data analytics, and autonomous systems.

Qualifications

• Relevant qualifications in Engineering (e.g. Electronics, Computer, Electrical, Mechanical, etc.) with at least 5 years of relevant industry experience in product design/development/manufacturing or research and development
• Minimum 2 years of experience in emerging technological sectors such as embodied AI & Robotics, Machine Learning & Deep Learning or Data Analytics
• Passionate about education and possess strong interest in nurturing, teaching, mentoring and interacting with students
• Good communication and interpersonal skills
• Self-driven, independent and possess readiness to work as a team

Responsibilities

• Teaching & developing modules for Diploma in Engineering Science, Common Engineering Programme and Diploma Plus Programme
• Conducting training/courses for adult learners
• Working on technology projects
• Spearhead and identify new opportunities and collaboration with industry
• Lead or support applied R&D projects in collaboration with industry partners with focus on Embodied AI, AI & Machine Learning and autonomous systems
• Support student development in the area of education
• Develop and delivery industry training programmes

Job description

sggovterp is recruiting a Lecturer, Engineering Science in the School of Engineering on a 2-year contract. You will teach and develop modules, and conduct training for adult learners while working on technology projects.

Responsibilities include curriculum development, facilitating student learning, conducting assessments, and engaging in industry collaboration across Embodied AI, ML/DL, data analytics, and autonomous systems.