University of Transport and Communications

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.

The University of Surrey is a global community of people and ideas, dedicated to life-changing education and research. We are ambitious and have a bold vision - shaping ourselves into one of the best universities in the world - which we are achieving through the talents and endeavour of every employee. Our high-achieving Surrey Institute of Education inspires innovation and supports the enhancement of higher education through fostering meaningful teaching development for colleagues at all levels across the University. We also conduct high-quality educational research and evaluation that has an impact on policy and practice, and work in authentic partnerships with students and staff. The role The Surrey Institute of Education (SIoE) is looking for a proactive and highly organised individual to join our small friendly team as a part-time Education Support Officer (0.5 FTE). Your role will be to provide high-quality, professional, administrative and educational support to the Head of the SIoE and to academic colleagues working within the department. In addition, the postholder will also provide administrative support to colleagues in the Digital Learning team. This is a key role for an enthusiastic and personable individual who takes pride in delivering a seamless service. The University operates a hybrid working approach and this role will be a minimum of two days per week office-based with flexibility to attend campus more frequently when required. About you If you are highly efficient, dependable and trustworthy, with excellent administrative skills and a proactive, warm and professional manner, we would welcome your application. You will work in a collegial and collaborative environment and be contributing to work that directly supports staff and students, research and the University’s global ambitions.  How to apply To apply, please upload a CV and covering letter detailing your reasons for applying and demonstrating how you meet the essential requirements outlined in the role profile. Interviews will be held week commencing 20th April. If you would like to discuss the role further, please contact Karen Gravett, Head of the SIoE k.gravett@surrey.ac.uk for an informal conversation. Further details Job Description

Ref.: 534424 Work type: Full-time Department: Department of Obstetrics and Gynaecology, School of Clinical Medicine (20900) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track Clinical Associate Professor/ Clinical Assistant Professor (several posts) in the Department of Obstetrics and Gynaecology, School of Clinical Medicine (Ref.: 534424), to commence as soon as possible, on a four-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second four-year fixed-term contract, subject to funding availability and satisfactory performance. Applicants should possess a medical qualification registrable with the Medical Council of Hong Kong and a specialist qualification in Obstetrics and Gynaecology, i.e. Fellowship of the Hong Kong Academy of Medicine (Obstetrics and Gynaecology). Applicants should demonstrate proven capacity and potential for high-quality research, and excellence in teaching and student supervision at both undergraduate and postgraduate levels. They must also demonstrate a strong commitment to teaching, and be able to contribute to the enhancement and development of medical and health sciences courses in the Faculty. Those with experience of having successfully developed and submitted research grants and worked effectively with major international partners and funding agencies; interacting effectively across multiple sectors; and establishing and managing studies involving colleagues from different disciplinary backgrounds may be favourably considered. The appointees will undertake teaching responsibilities, and organize and develop both undergraduate and postgraduate programmes. They are expected to conduct high-quality scholarly research, provide clinical services and patient care at the University's teaching hospitals, and participate in services/administration at Departmental, Faculty and University levels. They are also expected to play a key role in leading the development of academic scholarship and teaching programmes of the Department. Information about the Department can be obtained at https://obsgyn.med.hku.hk/. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. A monthly cash allowance will be offered to the successful candidate. Housing benefits will also be provided as applicable. The University only accepts online application for the above posts. Applicants should apply online, upload an up-to-date C.V. with an indication of research orientation and specialty of interest, and provide the contact information of at least 3 referees who can comment on his/her academic scholarship. Review of applications will start from May 4, 2026 and continue until June 30, 2026, or until the posts are filled, whichever is earlier.