Senior Professional Officer (& Above) in Robotics and Embodied AI

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