Goldsmiths, University of London

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.  We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference. The role This is an Engineering and Physical Sciences Research Council (EPSRC) funded position within the UK National Ion Beam Centre, a multi-institutional collaboration comprising the UK Atomic Energy Authority, the University of Manchester, and the University of Surrey, with Surrey acting as the lead site. The role is a key strategic position responsible for driving the long-term development, operational effectiveness, and external engagement of the Centre, enhancing its national and international impact, supporting academic and industrial users, and contributing to the growth, sustainability, and reputation of the UK’s ion beam research capabilities.  This is a fixed-term appointment until 31 July 2027, with the possibility of extension subject to future funding. About you We're looking for someone with: Technical Expertise: A degree or PhD in Engineering, Physics, or a related discipline, with experience in semiconductor technologies (e.g. ion implantation or related, 2D materials etc.) Management Experience: Proven experience in managing scientific facilities, R&D labs, or cleanroom environments Collaboration & Communication: Ability to work with academic researchers and industrial stakeholders to translate requirements into growth recipes Project Management: Skills in managing complex equipment upgrades and coordinating with vendors What we can offer In addition to a competitive salary you will receive 25 days annual leave, with 8 additional days for Bank Holidays and 7 for University closure days. We offer a generous pension, flexible working options, access to world-class leisure facilities, a range of travel schemes, and supportive family friendly benefits including an excellent on-site nursery. How to apply Applicants should submit a CV and a cover letter explaining their suitability for the role when applying through the University website. Interviews are expected to take place w/c 15th June. Informal enquiries should be sent to Prof Satheesh Krishnamurthy via s.krishnamurthy@surrey.ac.uk For more information about the Surrey Ion Beam Centre please visit https://surreyibc.co.uk/home/ The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We value everyone in our community and are seeking to increase the diversity. Therefore, we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities. Further details Job Description

As part of an exciting digital transformation, the University of Surrey is seeking a Cyber Security Continuous Improvement Manager. In this senior role, you will shape and strengthen the University’s cyber resilience, ensuring our security capabilities, controls and behaviours continuously evolve in response to an ever‑changing threat landscape. We value, empower and support every member of staff to get the best out of your unique talents, so you’ll be rewarded with a generous salary, 32 days holiday PLUS Bank Holidays, pension contribution of 14.5%, and a unique and vibrant working environment. Role & Responsibilities: You will play a central role in how the University identifies, manages and adapts to cyber risk—using data, intelligence and sector best practice to guide decision‑making. The post leads our shift from reactive to proactive security, driving behavioural and cultural change across the institution and embedding clear accountability for cyber risk. Beyond formal project delivery, you will oversee continuous improvement activity—translating operational insight from metrics, audits, incidents and risk assessments into practical, business‑as‑usual enhancements. This work ensures faster detection and response, greater organisational readiness, and more resilient incident management processes. Responsibilities include: Lead continuous improvement – develop and implement a structured, continuous improvement roadmap to enhance the University’s cybersecurity maturity over time. Drive risk reduction initiatives – oversee the identification, tracking and mitigation or cyber risks, ensuring continuous reduction of vulnerabilities across systems and processes enabling and influencing executive risk decision making. Lead on internal exercises and post incident reviews – Lead lessons learned activities, ensuring root causes are addressed and translated into practical, proportionate improvements. Accountability for ensuring organisational learning is embedded. Establish metrics and reporting – define and manage key performance indicators and key risk indicators to measure the effectiveness of controls and improvement efforts and which allow informed and timely decision making at senior levels of the organisation.  Support during cyber security incidents - Assisting the Director of Cyber Security and the Head of Cyber Security Operations by facilitating structured engagement between Cyber Operations, Cyber Risk & Compliance, IT Services, Communications, and other University senior stakeholders, ensuring clarity of roles, actions, and timelines. The IT team at Surrey are plugged in to the whole University, and our digital transformation work underpins the University’s strategy. IT is growing our digital transformation capability, improving student experience, and helping increase our research impact. It’s a vibrant and exciting time to join a great and well-respected team at the heart of the University’s strategic plans. What’s in it for you?  We think Surrey is an amazing place to work, and we are carefully crafting a dynamic, flexible, and fun place to work and thrive. Our campus is a beautiful, leafy environment with carefully designed gardens, vibrant green playing fields, and a picturesque lake. With the buzz of student life and superb working facilities, the University is a global community of ideas and people, dedicated to life-changing education and research in an inspiring, innovative and diverse environment. Alongside our gorgeous campus setting, collegiate on-site atmosphere and plentiful development opportunities, we also offer: Competitive Salary Market leading Pension Up to 40 DAYS Holiday: 25 Days annual leave + 7 University Days + Bank Holidays Travel & Family benefits including subsidised rail fare, cycle to work scheme and on-site childcare Access to on site leisure facilities at discounted rates For more information or to be considered for the role, please apply via the University of Surrey Website. The University is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore, we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities. Further details Job Description

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.