Madhav Institute of Technology and Science Gwalior

The applied research at SIT brings our rich industry experience and technical skills into our work, creating a better physical environment where learning and innovation take place. We work with teaching programmes and innovation projects to improve the skills of our students and strengthen and energize our industry and the wider community. In collaboration with NEA, the Energy Efficiency Technology Centre (EETC) at Singapore Institute of Technology (SIT) aims to be the leading technology innovation centre to support local industries on energy efficiency initiatives. EETC aspires to promote and develop energy efficiency capability and new technologies in the local energy ecosystem for industrial sectors. Key Responsibilities Work with EETC team members and companies on energy assessment projects in industrial systems Assist and/or co-develop training in energy efficiency in industrial systems to adult learners and students Mentor students in energy assessment projects to enhance their technical problem-solving skills. The learning activities may be classroom training, laboratory classes, projects. Development of learning activities / materials and assessment of students may form part of the responsibilities. Support research and industrial project work undertaken by the university, where opportunity arises. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure smooth execution of the energy audits. For those hired at senior levels, management responsibilities may be included. Manage and administer training programmes at the Centre.  Job Requirements Have hands-on experience in energy assessments and energy efficiency projects in some of the following areas: Industrial systems such as: Chilled Water System, Cooling and Refrigeration System, Mechanical Ventilation System, Heating system, Process Separation, Process Heat Integration, Process Compressor System, Steam and Condensate System, Compressed Air System, Motor Driven System, Power Distribution System and Electric Motors, Lighting System, Renewable Energy System, Process Specific system etc. Have a Degree in Engineering or equivalent. Have at least 5 years of project work experience in energy efficiency. Certified Energy Efficiency Opportunity Assessor or Singapore Certified Energy Manager will be advantageous. Licensed LEW (Technician grade or higher) will be advantageous for one of the positions. *Note: The incumbent will be appointed as Research Fellow / Research Engineer if successful.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  Key Responsibilities:  Plan and conduct wet chemistry experiments and functional mRNA tests, changing parameters according to the requirements of the established Design of Experiments  Detailed and careful experimentalist, able to capture critical details  Conduct individual projects with minimal supervision and drive to completion  Participate in and manage the research project with Principal Investigator (PI), and the research team members to ensure all project deliverables are met  Show strong initiative and take ownership of research work for publication.  Document, publish and present research findings to project stakeholders  Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.  Coordinate procurement and liaison with vendors/suppliers  The candidate is to liaise and communicate with any internal or external stakeholders to ensure project deliverables are met and to perform any other adhoc duties assigned by Supervisor. Requirements (Expertise, Qualification and Experience):  Synthetic chemistry/biology (2-3 years experience in wet chemistry labs is ideal, experience in organic synthetic methods, inorganic or synthetic biology, formulations)  Pharmaceutical/Bio engineering (calculations, design of experiment, handling of mRNA)  Have a degree in Chemistry, Biotechnology, Pharmaceutical Engineering or closely related disciplines. Possessing a PhD degree will be advantageous.  Analytical chemistry (experience with chromatographic methods, particularly LC and hyphenated methods would be advantageous)  Strong experimentation skills and theoretical knowledge in chemistry, pharmaceutical/bio engineering  Experience with Design of Experiments (DoE)  Able to work independently as well as maintain strong working relationships with people within and external to the university  Show strong initiative and sense of responsibility  Proficient in technical writing and presentation  Possess a high degree of self-motivation and curiosity in technical pursuits, with the ability to develop original ideas 

Role Overview As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The SIT Centre for Intelligent Robotics is a strategic capability centre under RoboPrecinct@Punggol Digital District (PDD), responsible for developing and maintaining the core applied robotics and embodied AI capabilities required for precinct-level deployment of robotic systems. The centre is seeking a Robotics Engineer. This role is application-driven and system-oriented, focusing on the implementation, adaptation, and evaluation of state-of-the-art robotics algorithms on real robotic platforms. The successful candidate will work closely with physical robots and simulation environments to translate recent advances in learning-based robotics into robust, deployable systems. Key Responsibilities Implement, adapt, and evaluate state-of-the-art learning-based methods for robotic perception, decision-making, navigation, and manipulation. Apply reinforcement learning, imitation learning, and other skill learning frameworks to practical robotic applications. Integrate learning-based robot skills with full robot software stacks in ROS / ROS 2 environments. Develop and maintain perception and state representation pipelines using RGB-D and 3D sensing. Conduct simulation-to-real (Sim2Real) workflows, including data collection, model training, deployment, and testing on physical robots. Support system-level experimentation, benchmarking, and iterative improvement of embodied AI applications. 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 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 field. Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. Working knowledge of reinforcement learning, imitation learning, or learning-based control concepts. Familiarity with robotics simulation tools such as Gazebo, Isaac Lab, or MuJoCo. Practical experience with ROS or ROS 2 for real-robot software integration. Proficiency in Python and C++, with experience developing and maintaining production-level code. At least 2 years of experience in robotics research or industry projects. Preferred Skillsets (Advantageous) Experience working with mobile manipulators, humanoid robots, or quadruped robots. Exposure to motion planning, control frameworks, or whole-body control systems. Experience with real-world robot experimentation and deployment. Experience with embodied AI and robot manipulation benchmarking platforms such as LIBERO, ManiSkill, or RLBench is highly desirable. Knowledge of GPU architectures, GPU cloud computing services, and strong familiarity with Linux operating systems. Knowledge of BIM, universal scene description and scene composition Knowledge of physics and simulation parameters, as well as sensor simulation pipeline.