Likely filled
This role has closed. Sggovterp has taken the posting down.
hirly last saw it live on 23 September 2026. See similar open roles below, or browse the live board.
Sggovterp
Lecturer/Snr Lecturer (Robotics & Embodied AI) - School of IT
Nanyang Polytechnic
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hirly's read of this role
- Role family
- Education
- Seniority
- Mid level
- Work mode
- On-site / unstated
- First seen by hirly
- 23 Sept 2026
Derived automatically from the posting.
the posting
[What the role is]
As academic staff, you will play an active role in the academic, professional and personal development of your learners to prepare them for work & life.
[What you will be working on]
- As academic staff, you will play an active role in the academic, professional, and personal development of your learners to prepare them for work and life.
- What you will be working on
- Design, evaluate, and enhance course curricula, and co-develop training content with industry partners to ensure relevance to evolving industry needs.
- Teach and supervise project for PET and CET courses, including professional short courses.
- Spearhead and identify new opportunities, initiatives, and collaborations with the industry.
- Plan, lead, manage, and undertake Embodied AI projects with industry partners.
#LI-Hybrid
[What we are looking for]
- At least 2 years of relevant working experience in Robotics and Embodied/Physical AI.
- Relevant qualifications in Robotics, Mechanical/Electronics Engineering, Computer Science, or related domains of study.
- Technical expertise and track record in the following areas (ideally two or more)
- Robotics Training Data Pipeline: Data acquisition for robot training, synchronization, calibration, evaluation harnesses and simulation data pipelines
- Perception and Sensor Fusion: 3D scene understanding, manipulation-centric perception
- Simulation: digital twin creation for robot training, synthetic data generation, sim-to-real transfer, familiarity with Isaac Sim
- Policy Learning and foundation models: Imitation and reinforcement learning, cross-embodiment generalisation, vision-language action and world action models
- System Integration and Deployment: ROS2 systems integration, runtime robustness, safety and field deployment optimization
- Good communication and interpersonal skills, with the ability to demonstrate empathy and connect effectively with diverse learners.
- Candidates with practical experience in designing and implementing embodied AI solutions in an industry setting would be advantageous.