The posting
My client is a Local University in Singapore.
Key Responsibilities
- Lead or co-lead innovative applied research and industry collaboration projects with industry partners and government agencies. Bring practical engineering skills to drive EAI innovations.
- Design, develop, and teach laboratory sessions and practice-based modules in Robotics & Embodied AI and related areas.
- Secure and manage research grants to support applied research initiatives.
- Supervise and mentor students in applied research projects, Capstone Projects, and the Integrated Work Study Programme (IWSP).
- Manage laboratory facilities, equipment, and technical resources to support academic programmes and applied research activities.
- Ensure compliance with laboratory safety policies, procedures, and best practices.
- Contribute to the development of applied AI capabilities, learning resources, and industry-relevant curriculum support.
- Work closely with faculty and internal stakeholders to drive teaching, applied research, and innovation initiatives outcomes.
Job Requirements
- A good Bachelor’s degree or Master’s/PhD degree in Robotics, Mechanical/Electronics Engineering, Computer Science, or a relevant domain with demonstrated embodied AI research and/or application experience.
- At least 8 years of relevant industry experience, preferably in a technical role within an organisation driving research and/or innovation outcomes
- Strong technical expertise in the following areas (ideally at least two):
- Policy Learning and Robotics Control: Imitation / reinforcement learning, generative policies, residual learning, cross-embodiment generalisation.
- Robotics Data Engineering: Data capture, synchronisation, calibration, evaluation harnesses and simulation data pipelines
- Foundation Models & World Models for Robotics: VLA grounding, planning interfaces and world-model reasoning for robots
- State Estimation, Perception and Sensor Fusion: 3D scene understanding, diagnostics, active and manipulation-centric perception
- System Integration, Deployment & RobotOps: ROS2 systems integration, runtime robustness, safety and field deployment engineering
- Swarm Robotics & Multi-Agent Systems: Decentralised coordination, shared mapping and resilient communications
- Fleet Management & Remote Operations: Mission control, tele-operation, network resilience and lifecycle operations
- Cyber-Physical Security & Trustworthy Robotics: Threat modelling, resilience, incident response, AI ethics and data privacy
- Experience applying embodied AI to real-world use areas will be advantageous, such as (non-exhaustive):
- Facility Management
- Healthcare
- Advanced Manufacturing
- Urban Systems
- Biotechnology & Chemical Engineering
- Demonstrated interest and capability in supporting research and academic project work, with the ability to develop software solutions to technical problems.
- Strong supervisory and mentoring skills, with an interest in working closely with students in an educational environment.
- Commitment to continuous learning and professional development, with the ability to keep abreast of developments in the field. Relevant industry certifications will be an added advantage.
- For senior appointments, demonstrated managerial or team leadership experience may be required.
Kris Lam (R1983356)
Director
Recruitmatic Pte. Ltd. (22S1186)
2 Venture Drive #14-02
Vision Exchange S608526



