OCAD University

As a University of Applied Learning, Singapore Institute of Technology (SIT) works closely with industry partners to develop applied research capabilities that translate directly into real-world deployment. Our research staff are equipped with industry-relevant skills through hands-on work on operational research platforms and systems. The Future Ship and System Design (FSSD) programme aims to develop strategic and innovative design capabilities for the maritime industry in Singapore and globally. We are seeking a certified Power Electrical Engineer to design, analyse, and operate high-power and high-voltage electrical systems, ensuring safe, reliable, and compliant operation across our facilities. The candicate will work closely with the Principal Investigator (PI), Co-PI, and research team members to manage and execute the project, ensuring that all deliverables are successfully achieved. Key Competencies Design and review high-power electrical systems, including switchgear, transformers, generators, and protection schemes Perform power system studies such as load flow, short-circuit, and protection coordination Operate and control high-power or high-voltage equipment Lead testing, commissioning, and troubleshooting of electrical systems Ensure compliance with electrical safety rules, standards, and regulatory requirements Support maintenance planning, reliability improvement, and asset management Work independently, as well as within a team, to ensure proper operation and maintenance of equipment The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met. Any other adhoc duties assigned by supervisor. Job Requirements Bachelor’s degree in Electrical Engineering or equivalent Certification or authorisation to design and operate high-power or high-voltage electrical systems Minimum 2 years of relevant experience Key Competencies  Good knowledge in electrical equipment and power system design. Good knowledge in reliability analysis. Strong knowledge of HV and LV power systems and protection Experience with power system analysis tools Strong safety mindset and clear technical communication skills

Role Overview As a University of Applied Learning, Singapore Institute of Technology (SIT) works closely with industry partners to develop applied research capabilities that translate directly into real-world deployment. Our research staff are equipped with industry-relevant skills through hands-on work on operational research platforms and systems. The SIT Centre for Intelligent Robotics (CIR) is a strategic capability centre under RoboPrecinct@Punggol Digital District (PDD), responsible for developing and sustaining the simulation, digital twin, and embodied AI foundations required for precinct-level deployment of robotic systems. We are seeking a Robotics Simulation Engineer to support the Centre’s robotics and embodied AI initiatives. This role focuses on the design, implementation, and maintenance of multi-platform robotics simulation environments, supporting research, development, testing, and Sim2Real transfer of robotic systems. The successful candidate will work across NVIDIA Isaac Sim, Gazebo, MuJoCo, and related simulation platforms, enabling scalable experimentation and robust system-level evaluation prior to real-world deployment. Key Responsibilities Develop, configure, and maintain robotics simulation environments across multiple platforms, including NVIDIA Isaac Sim, Gazebo, MuJoCo, and other relevant simulators for different applications and robotics platform Design modular and reusable simulation assets for robots, environments, sensors, and physics configurations. Integrate robotic platforms into simulation, including URDF/SDF workflows, articulation setup, and validation of kinematics and dynamics. Configure and tune physics simulation parameters (contacts, friction, joint limits, control rates, solver settings) to ensure realistic robot behaviour. Develop and maintain sensor simulation pipelines (RGB, depth, RGB-D, LiDAR, IMU) for perception and learning-based robotics. Support simulation-to-real (Sim2Real) workflows, including domain randomization, sensor noise modelling, and reality-gap mitigation. Integrate simulations with ROS / ROS 2 for closed-loop robot control, testing, and benchmarking. Automate simulation setup, execution, and experiment management using Python and C++, supporting batch experiments and data collection. Support system-level experimentation, benchmarking, and iterative improvement of embodied AI and robotic applications. Prepare technical documentation, simulation guidelines, and reusable templates to support knowledge transfer and long-term maintainability. Provide mentorship to undergraduate students in projects. Carry out risk assessment, and ensure compliance with Work, Safety and Health Regulations. Prepare technical documentation, reports, and implementation guides to support knowledge transfer and long-term maintainability. Contribute to publications and technical notes to disseminate research outcomes. The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met. Any other adhoc duties assigned by supervisor. Requirements Bachelor’s degree or higher in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or a related discipline. Hands-on experience with at least two robotics simulation platforms, such as NVIDIA Isaac Sim, Gazebo, or MuJoCo. Practical experience working with URDF and/or SDF robot models and simulation integration. Working knowledge of robotics physics and dynamics, including articulated systems. Experience integrating simulation environments with ROS or ROS 2. Proficiency in Python, with working knowledge of C++ for simulation or robotics software development. Minimum 2 years of experience in robotics simulation, robotics research, or industry-based robotics projects. Preferred Skillsets (Advantageous) Experience with USD-based workflows and Omniverse-based simulation environments. Familiarity with PhysX and/or other physics engines used in robotics simulation. Experience supporting Sim2Real pipelines for real-robot deployment. Exposure to reinforcement learning, imitation learning, or learning-based control in simulation. Experience working with mobile manipulators, humanoid robots, or legged robots. Familiarity with GPU-accelerated simulation, performance optimisation, and Linux-based systems.

FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. Targeted to be ready in 2024, SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. As a young university, we encourage innovation and seek the right candidates to join us in realising our vision. We offer competitive remuneration, generous employment benefits access to funding to undertake research of relevance to industry, and the opportunities to inspire and nurture the next generation of skilled and work-ready graduates. We currently have positions available at all levels from Lecturer to Full Professor in Chemical Engineering or related disciplines. Priority skill areas include: process monitoring and control, industry 4.0, modeling, AI and ML applications for the process industries with particular emphasis on delivering step change improvements in process performance; Informatics for process and product development with a background in big data applications in biotechnology, process development or food technology; Quantitative scientific skills in physical chemistry/biochemistry/formulation to enable deeper process and product understanding in high value chemical, pharmaceutical biotechnology and/or food applications.   The successful candidate would be expected to teach core chemical of pharmaceutical engineering subjects and to develop applied research to support the continuing development of Singapore’s process industries. Requirements: A PhD in Chemical Engineering or related discipline Strong communication skills Aptitude for Applied Research leading to application of new knowledge to solve real-world problems A high level of digital literacy The following are desirable: Manufacturing, design or research experience in the process and related industries Knowledge and experience of Sustainability assessment as applied to the process industries Chartered or Professional Engineer status Successful candidates will join the Food, Chemical and Biotechnology (FCB) Cluster (one of five domain clusters in SIT), as members of a team of accomplished experts who are passionate about higher education and deeply involved with industry transformation through their applied research programmes.   Faculty in the FCB Cluster undertake funded industry-relevant research, teach courses in Chemical Engineering, Pharmaceutical Engineering and Food Technology as well as supervise graduate industry masters and doctorate students in relevant topics. They are also provided with paid leave to undertake consultancy work with industry and/or spend time attached to work with industry. Applications will be accepted until the positions are filled. All applications must be submitted electronically via the "Apply Now" button below.