Khulna University of Engineering and Technology (KUET)

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.

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.  Job Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.• Undertake these responsibilities in the project: i. Lead and support high quality publications to disseminate the applied research outcomes. ii. Plan, organize and carry out experiments and trials in the food pilot plant to achieve the objectives iii. Manage and complete the project by presenting the findings in conferences or meetings with industrial collaborator, submitting timely data & documents, and purchase chemicals or consumables. iv. Consolidate the data in order to generate sufficient scientific evidence for meetings slides and report in conferences. v. Engage and communicate with collaborators for progress meetings and report generation to meet the grantor's requirements. 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.  Job requirements Have relevant competence in the areas of protein chemistry, analytical chemistry for amino acid profiling, polyphenol profile analysis, SDS-PAGE, and protein hydrolysis. Have a degree in Food Science and Technology, or Analytical Chemistry. Possessing a Master's or PhD degree will be advantageous Experience and Knowledge of operating HPLC, MALDI-TOF and Q-TOF Mass spectrometry for protein sequencing, carbohydrate/Sugar analysis, and polyphenol identification. Previous experience as lab-in-charge or equipment-in-charge will be advantageous. Able to communicate with industrial collaborators to share key findings, seek supports, or conducting commercial trials. Carry out Risk Assessment, and ensure compliance with Work, Safety, and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Join a unique British University in China. The University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award-winning campus offers a UK-style education and has grown to a student body of over 10,000 in just 21 years. As part of the University of Nottingham’s Global University, UNNC provides exceptional opportunities for teaching and research in one of the world’s most dynamic economies. We are seeking an outstanding academic leader to join the Department of Electrical and Electronic Engineering as Professor in Electrical Engineering, specifically in the field of Power Electronics and Drives. The successful candidate will bring a proven record of achievement in research, teaching, and academic leadership, together with a clear vision for advancing the discipline and inspiring the next generation of engineers. Key Responsibilities Plan and lead the development and implementation of a research strategy in Electrical and Electronic Engineering, building national and international reputation. Provide academic leadership, including mentoring and supporting colleagues, and fostering an inclusive and high-performing academic community. Contribute to curriculum development, ensuring innovative approaches to learning, teaching, and assessment that reflect international best practice. Lead and support major funding bids, develop partnerships with industry and external organisations, and sustain research support for the discipline. Represent and enhance the reputation of the Department, Faculty, and University through scholarly outputs, academic networking, and engagement with professional bodies. Take on leadership and management roles within the Department, including the appointment, development, and performance of academic teams. Essential Qualifications and Experience PhD in Electrical and Electronic Engineering or a closely related field. An international profile of excellence in research, with a sustained record of high-quality publications in leading peer-reviewed journals. Strong evidence of success in securing major national and international competitive research grants, and in leading large-scale, externally funded research projects. Proven record of excellence in teaching and learning, with experience of curriculum design, innovation, and quality assurance. Demonstrated academic leadership, including mentoring PhD students, junior colleagues and contributing to departmental and faculty strategy. Excellent communication skills and the ability to build strong internal and external collaborations. Your Remuneration, Benefits and Support The successful candidate will be offered a five-year contract that may be extended by mutual agreement. Salary is negotiable within the professorial range, depending on skills and experience. A comprehensive benefits package is provided, including accommodation allowance, insurance, schooling support, home flight allowance, relocation and repatriation support, and paid annual leave. Opportunities may also be available to apply for Chinese talent schemes, subject to eligibility. For candidates who have reached the statutory retirement age under Chinese regulations, a service agreement will be offered instead. How to Apply Applicants are invited to submit their applications via the application link below.  https://jobs.nottingham.edu.cn/job/184340/ Applications should include but are not limited to the following: A cover letter (please indicate clearly the position and level for which you are applying) An up-to-date CV A full publication list Only applications submitted online at the designated link will be accepted. Unless specified otherwise, referees will be contacted prior to interview. Interviews will take place in Ningbo China or online if travel to Ningbo is not feasible. Enquiries Informal enquiries regarding this role may be addressed to Dr C.F. Kwong, Department Head of Electrical and Electronic Engineering, email: chiew-foong.kwong@nottingham.edu.cn. If you are unable to apply on-line, please contact the Human Resources Office (Tel: 86 574 8818 0000 – 8404; Email: job@nottingham.edu.cn).  Equality and Diversity University of Nottingham Ningbo China is an equal opportunity employer. We are committed to providing a fair, equitable and mutually supportive learning and working environment for our students and staff. It is our intention to ensure that job applicants and staff are treated solely on the basis of their merits, abilities and potential, regardless of gender, race, colour, nationality, ethnic or national origin, age, socio-economic background, disability, religious or political beliefs, trade union membership, family circumstances, sexual orientation or other irrelevant distinction.