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Lecturer/Snr Lecturer (Robotics & Embodied AI) - School of IT

Lecturer/Snr Lecturer (Robotics & Embodied AI) - School of IT

NYP Nanyang Polytechnic
Fresher
  • Posted 20 hours ago
  • Be among the first 10 applicants

Job Description

[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 developmentof your learners to prepare them for work and life.
  • What you will be working on
    • Design, evaluate, and enhancecourse 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 identifynew 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 domainsof 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.

More Info

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Key Skills

Cross-embodiment generalisation

Policy Learning

3D scene understanding

Manipulation-centric perception

ROS2 systems integration

Field deployment optimization

Perception and Sensor Fusion

Isaac Sim

Digital twin creation for robot training

Evaluation harnesses

Synthetic data generation

Embodied Physical AI

Data acquisition for robot training

Runtime robustness

Sim-to-real transfer

World action models

Simulation data pipelines