Institute of Advanced Leadership

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. Role & Responsibilities  An opportunity has arisen within the Operations department for a proactive, self-motivated and highly organised individual to join our team as a Senior Duty Manager. The successful candidate will lead the daily operational delivery of Surrey Sports Park, ensuring a safe, welcoming, and high-quality experience for all users. The Senior Duty Manager is responsible for supervising front-line staff, maintaining facility standards, and ensuring compliance with health and safety procedures. The role supports the Operations Manager in delivering excellent customer service, operational efficiency, and a positive team culture. The role will include working early morning, late evenings and weekends on a rota basis.  About you The successful candidate will have previous experience in a supervisory role in which they handled staff effectively to achieve results. Understanding the importance of Health and Safety in the leisure industry is essential and the candidate should have the ability to deliver a high-quality service with minimum supervision. The post-holder will also be adaptable & flexible and will have the ability to deal with customers and their queries and concerns with tact, diplomacy and kindness. Knowledge of integrated management systems and experience of computerised leisure management systems are essential. A First Aid Certificate and National Pool Lifeguard Qualification or equivalent are desirable. An enhanced DBS check will be required for this role. What’s in it for you? Surrey Sports Park is at the heart of sport and physical activity in Surrey, and our mission is to deliver the best possible sport, health and wellbeing experience to our University of Surrey students and to the wider SSP community. We provide strategic added value to the University by delivering an outstanding student experience through social and competitive sport and providing an excellent environment for wellness and fitness for Surrey staff and students, and our community impact is significant both culturally and physically. The team is passionate and high performing, and the business model requires us to deliver a self-sustaining, well managed and customer service focused business.  How to Apply To apply, please upload a CV and cover letter outlining why you would be a suitable candidate for the role. If you would like to discuss this role further, please contact Dan Manning, Assistant Director of Sport Operations: dan.manning@surrey.ac.uk Further details Job Description

Ref.: 534491 Work type: Full-time Department: School of Biomedical Sciences (22600) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral Fellow in the School of Biomedical Sciences (Ref.: 534491), to commence as soon as possible for two years, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in Cancer Biology, Cancer Immunology, Biomedical Sciences or a related field, and demonstrate exceptional experimental, writing, and communication abilities. Preference will be given to candidates with research experience in cancer bioinformatics, cancer biology and/or cancer immunology; as well as cell/organoid culture, cellular/molecular biology, flow cytometry, animal studies, and cancer-related research work. Applicants should have good communication skills, be self-motivated, have the ability to multi-task with attention to detail, be organized and be able to work independently as well as in a multidisciplinary team. The appointee will work semi-independently under the supervision of Professor Stephanie Ma on research projects relating to cancer cell plasticity with a focus on cancer stemness using hepatocellular carcinoma as a model system, that is part of a collaborative project. For further information, please contact Professor Stephanie Ma at stefma@hku.hk. Details of Professor Ma’s research can also be found at http://thesmalab.com/. Information about the School of Biomedical Sciences can be obtained at http://www.sbms.hku.hk/ . A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.  The University only accepts online application for the above post at the University’s Careers site (https://jobs.hku.hk). Applicants should apply online and upload an up-to-date C.V. Review of applications will start February 27, 2026 and continue until May 12, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

Scope of Position: Duke-NUS Medical School invites applications for a full-time Assistant/Associate Professor in AI for Medical Education within the Office of Education. This innovative role will apply Artificial Intelligence technologies and approaches to support and enhance educational delivery, assessment, and learning experiences, while also contributing to curriculum development that prepares future physicians to practice effectively in an AI-enhanced healthcare environment. Working in close partnership with MD curriculum leadership, teams, faculty, administrators, and students, the successful applicant will co-lead and support initiatives to develop and integrate AI-powered educational tools across our MD curriculum, conduct research on AI applications in medical education, and design and deliver an AI literacy curriculum. This position represents a unique opportunity to shape the future of medical education at the intersection of technology and healthcare. The successful applicant will be eligible for faculty appointment at the Assistant Professor or Associate Professor level at Duke-NUS; rank will be commensurate with experience, achievement and recognition. The postholder will collaborate with clinician educators and scientists across all health professions and disciplines in the SingHealth Duke-NUS Academic Medical Centre. Roles and Responsibilities: Partner with curriculum teams to design, implement, and evaluate AI-powered educational tools such as intelligent tutoring systems, adaptive learning platforms, virtual patient simulations, etc Develop AI applications for personalized learning experiences that respond to individual student needs and learning patterns Support the development and deployment of AI-driven assessment systems that provide automated feedback, performance analytics, and competency evaluation Conduct original research on the effectiveness of AI applications in medical education Publish findings in peer-reviewed journals and present at national and international conferences Secure internal and external funding to support AI-driven educational innovation projects Collaborate with Education and IT teams to support learning analytics and educational data management throughout the School Contribute to the development and delivery of AI literacy curriculum for medical students Conduct workshops and training sessions for faculty on both using AI tools and teaching about AI Mentor students, health care educators and investigators interested in Artificial Intelligence for medical education Participate in the general teaching, service and administrative responsibilities of the Office of Education as determined by their Reporting Officer Develop strong working relationships with collaborators both within Duke-NUS and the wider SingHealth Duke-NUS Academic Medical Centre Appropriate duties as assigned by reporting officer Requirements Education: Doctoral degree in Computer Science, Biomedical Informatics, Data Science, Artificial Intelligence, Machine Learning, Educational Technology, or closely related field Postdoctoral training or previous faculty appointment in Artificial Intelligence, Medical Education, Educational Technology or other relevant area is desirable but not essential   Technical Expertise: Demonstrated expertise in Artificial Intelligence and Machine Learning methods and their practical application Strong programming skills (Python, R, or similar languages) used in AI and data science development Experience developing, training, and deploying AI/ML models using modern frameworks and tools.   Knowledge of relevant AI domains such as Natural Language Processing, Computer Vision, and/or multimodal learning Familiarity with learning analytics, data management and educational/healthcare data environments Understanding of learning management systems or digital learning platforms is advantageous Experience: Minimum 3 years of experience in the development and practical use of AI/ML applications in educational contexts, healthcare settings or other relevant domains Experience with learning analytics and educational data mining Experience with human-centred design and user experience research Demonstrable commitment to research and scholarship. For example, research productivity, preferably in a higher education institute, healthcare organization or medical education setting; grant funded research as Principal Investigator or lead; peer reviewed research publications; visiting appointments; advisory roles; consultancy; other evidence of scholarly activities; knowledge creation, synthesis, application and dissemination Competencies: Knowledge of ethical considerations in AI, including bias, fairness, and privacy Exceptional time management, organizational skills and the ability to work on multiple projects simultaneously and meet project deadlines Accessible, calm, flexible, and mature individual with superlative interpersonal skills that permit him/her to work independently as well as in a team environment, to establish credibility with staff at all levels and of different disciplines and backgrounds, and to be persuasive in both one-to-one and group settings Commitment to maintain confidentiality and exercise discretion in sharing of information. Excellent written and verbal communication and presentation skills with ability to explain technical concepts to non-technical audiences Ability to translate Artificial Intelligence / Machine Learning techniques and Data Analytics approaches to medical education and practice Ability to mentor students and faculty in scholarship within the domain of Artificial Intelligence for medical education All applications including a letter of interest and a curriculum vitae should be submitted online. Informal enquiries are welcome and should be directed to Prof Fernando Bello (f.bello@duke-nus.edu.sg). We regret that only shortlisted candidates will be notified