Khwaja Fareed University of Engineering and Information Technology

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.

Join the University of Southampton Auditory Implant Service (USAIS) as a British Sign Language (BSL) Interpreter and Deaf Services Advisor and make a meaningful impact in the lives of cochlear implant users and their families. You will have a unique opportunity to further your career by using your clinical skills within a University setting allowing you to access up-to-date research in this field.  We have 2 part-time (21 hours) permanent vacant posts.  As a BSL Interpreter, you will play a vital role in supporting Deaf patients and their families throughout their cochlear implant journey—from assessment and surgery to rehabilitation and follow-up care. You’ll work closely with audiologists, rehabilitationist, ENT consultants, and other professionals to ensure clear, culturally sensitive communication at every stage. Your key responsibilities will include: Provide high-quality BSL/English interpreting for clinical appointments, assessments, and group sessions Support patients and families in understanding complex medical and audiological information Collaborate with multidisciplinary teams to ensure inclusive, patient-centred care Maintain accurate records and uphold confidentiality and professional standards Contribute to Deaf awareness and accessibility initiatives within the Centre What We’re Looking For Registered Sign Language Interpreter with National Registers of Communication Professionals working with Deaf and Deafblind People (NRCPD) Level 6 qualification in BSL Interpreting or postgraduate degree in interpreting Experience working in healthcare or with Deaf clients in clinical settings preferred Strong interpersonal skills and cultural sensitivity Ability to work independently and as part of a team Commitment to equality, diversity, and inclusion Working at the University of Southampton: Check out the staff benefits and why you should join us at The University of Southampton! We offer a range of great benefits that includes a contributory pension scheme; holiday entitlement of 30 days plus 8 bank holidays and 6 additional holidays (closure days) pro rata; subsidised health and fitness facilities on-site; cycle to work scheme; a range of discounts which include restaurants, retail outlets and entertainment. For information on the Service please look at the website http://ais.southampton.ac.uk/ Informal enquiries and visits to the centre can be arranged by contacting Prof Roberta Buhagiar, Clinical Coordinator rb22@soton.ac.uk at the University of Southampton Auditory Implant Service, Telephone 02380 593522. *An enhanced DBS check is required for this role.

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following post: Chair Professor Department of Accountancy (Post Ref.: 25/208) The Department is looking for a Chair Professor to provide strong academic leadership in both research and teaching, and to contribute to the administration and management of the Department of Accountancy, and to the development of the Faculty of Business. It is expected that the appointee can contribute to AI, data science and STEM-related accounting research in alignment with the University’s strategy and to significant leadership service. General Requirements Candidates should have (a) a PhD degree in a relevant discipline with substantial teaching experience; (b) a strong international reputation and an outstanding track record of high impact research publications and competitive research grants; (c) strong research leadership capabilities and experience, with a commitment to helping other faculty develop their research and providing research supervision to students; and (d) previous administrative leadership experience at the Department or Faculty level will be a distinct advantage. Lingnan University is fully committed to the pursuit of excellence in both teaching and research. Candidates are required to provide evidence of quality teaching and information on their research records. The appointee is expected to have a strong commitment to teaching excellence and services to the Department, the University community, and to engage actively in quality research and publication. Appointment Internationally competitive start-up packages are available for the successful candidate. A globally competitive remuneration package commensurate with the appointee’s qualifications and experience will be offered. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund (retirement benefits scheme), gratuity, and incoming passage and baggage allowance for the eligible appointee. Appointment with substantiation/tenure will normally be considered. Application Procedure (online application only) Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.