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