Sunway University

Ref.: 534174 Work type: Full-time Department: Li Ka Shing Faculty of Medicine (20000) Categories: Professoriate Staff We are pleased to invite outstanding scholars to join HKUMed to contribute to our expanding research portfolio, and clinical and teaching activities. This is an open-discipline call. Recruitment areas include Bioinformatics and Bioengineering; Cancer Biology & Therapeutics; Chinese Medicine; various specialties under Clinical Medicine; Data Science/Big Data/AI Applications in Biomedicine & Health; Emerging Infectious Diseases; Global Health; Immunology and Virology; Neuroscience; Stem Cell & Regenerative Medicine; Nursing; Pharmacology & Pharmacy; and Structural, Synthetic & Computational Biology. Applications are invited for appointments as Tenure-Track Professor/ Associate Professor/ Assistant Professor (several posts) in the LKS Faculty of Medicine (Ref.: 534174), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and consideration for tenure before the expiry of a second three-year fixed-term contract. Exceptionally outstanding candidates for the positions of Professor/ Associate Professor may be considered for appointment on tenure terms, subject to University’s approval. Applicants should possess: (i) a Ph.D. degree or equivalent in a related discipline; (ii) a strong track record of high-quality research as indicated by publication record and external grants; (iii) evidence of international recognition; (iv) a strong record of scholarship with a demonstrated ability to work across disciplines towards new research initiatives; and (v) a strong commitment to engaging students in inquiry-based learning at both undergraduate and postgraduate levels.  Appointees shall be mapped to relevant departments based on their research disciplines. Depending on the strategic priorities of the hosting departments, they are expected to conduct independent and collaborative scholarly research and attract competitive grants to maintain active research programmes; take part in teaching undergraduate and postgraduate programmes, and supervise research postgraduate students; and perform administrative duties. The appointment rank will be determined based on qualifications and experience of the successful candidate. Information about respective teaching departments can be obtained at https://www.med.hku.hk/en/depts/teaching. 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 appointments will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary. A start-up package that is commensurate with the needs and experience of the appointee will be provided. Housing benefits will also be provided as applicable. The University only accepts online applications for the above posts. Applicants should apply online and provide a cover letter, curriculum vitae, research statement, teaching statement, 2 or 3 most significant research publications, and contact information for at least three referees. Review of applications will start on March 16, 2026 and continue until July 15, 2026, or until the posts are filled, whichever is earlier.

About Us King’s College London is a leading University with nine Faculties. As part of King’s Health Partners, we have an excellent environment for health care interaction and a strong focus on mentoring and career development. ​The 2021 Research Excellence Framework (REF2021) placed King’s applied and allied health research 1st for: overall proportion of research rated 4* (world-leading, the best mark possible), research papers rated 4*, impact rated 4*, environment rated 4*(joint), Grade Point Average and Power. REF2021 rated as world-leading: 100% of our environment, 86% of our impact and 70% of our research overall. Over 95% of our research overall was rated as world-leading or internationally excellent.  ​As of 2025, King’s is number 1 in the world for Nursing (QS world rankings). King’s produces more highly cited research outputs (top 1% citations) on palliative care than any other centre internationally (SciVal), and is second in the world on the same metric for nursing and midwifery. King’s is the largest provider of health care education in Europe. ​The Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care (NMPC) is based in the heart of central and south London. It includes the Cicely Saunders Institute for Palliative Care, Policy & Rehabilitation, the premier Institute for Palliative Care, bringing together clinical, research and education teams. ​Our applied clinical and health multidisciplinary research transforms therapies, the healthcare experience and outcomes for patients and those important to them, wherever they are cared for. Our award-winning NMPC education programmes span pre-registration nursing and midwifery, and multidisciplinary post-graduate taught and research programmes. ​We are committed to staff development and offer opportunities to identify and access appropriate training and professional growth. About the role King’s College London’s Simulation and Interactive Learning Centre is seeking a Simulation Education Specialist to support the delivery of high-quality, clinically relevant simulation-based education across the Health Faculties. This professional services role acts as a key link between the centre and academic colleagues, helping to translate curricular and clinical requirements into practical, well-designed learning activities that meet recognised standards of simulation practice. You will play a central role in planning, coordinating, and delivering simulation sessions that are educationally sound, operationally feasible, and provide meaningful learning outcomes for students and staff. The post holder will develop, maintain, and manage centre-specific educational resources, documents, and repositories, including exploring opportunities for automation to improve efficiency and resource tracking. By capturing the educational demand from faculties, you will help inform service planning, centre resource development, and potential research initiatives, contributing to the continuous enhancement of simulation-based education across King’s Health Faculties. You will provide guidance on best practice in simulation pedagogy, support faculty colleagues in session design, and ensure all activities comply with quality assurance processes and clinical standards. The successful candidate will have experience in delivering or supporting simulation-based or interactive learning in healthcare or higher education and a strong understanding of clinical practice. You will demonstrate excellent organisational, planning, and problem-solving skills, and be able to make decisions independently while balancing operational constraints and educational objectives. Effective communication and collaboration are essential, as you will work with academic staff, clinical educators, technical teams, and students to ensure smooth delivery and meaningful outcomes. Attention to detail, flexibility, and a commitment to continuous improvement are key to success in this role. The role offers opportunities to engage in interprofessional or complex clinical simulation, participate in educational evaluation or research, and apply educational technology and automation tools to enhance resource management and delivery. Candidates with experience in these areas will have the opportunity to innovate and help shape the future of simulation-based learning at King’s. This is an exciting opportunity to contribute to innovative, interactive healthcare education at one of the UK’s leading universities, influencing the learning experience of students, faculty, and healthcare professionals alike. This is a full time post (35 hours per week), and you will be offered an indefinite contract. King’s considers the professional and personal development of our staff a priority and we offer an inspiring range of opportunities for training and career progression. Our Organisational Development team provide in-house and bespoke learning. Location: 5 days on campus (based at Guy’s Campus, with supporting other campuses as per need). About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Experience in supporting or delivering simulation-based or interactive learning, preferably in a healthcare or higher education setting Understanding of clinical practice and the ability to translate it into relevant, clinically meaningful simulation activities Knowledge of simulation pedagogy, recognised standards, and quality assurance processes Strong organisational and planning skills, including the ability to prioritise and coordinate multiple sessions and resources Problem-solving and decision-making skills, with the ability to respond flexibly to operational challenges Excellent communication skills, verbal and written, to work effectively with academic, clinical, and professional stakeholders Experience in developing, maintaining, and managing educational resources, documentation, or repositories, including opportunities for automation Collaborative and service-oriented approach, demonstrating flexibility, attention to detail, and commitment to continuous improvement Desirable criteria Experience in using simulation technology for interprofessional education or complex clinical scenarios Knowledge of research or evaluation in simulation-based education or similar Experience with educational software, learning management systems, or automation tools for resource planning Experience in training or mentoring staff and students in simulation facilitation or educational practice Formal training or certification in simulation education or instructional design Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university. The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension. We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination. When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King’s guidance. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: £39,076 - £43,909 per annum, including London Weighting Allowance Job ID: 135745 Close Date: 29-Jan-2026 Contact Person: Robert Colson Contact Details: Robert.colson@kcl.ac.uk

Job Purpose The Professional Officers Division (POD) houses two Innovation Centres – Rapid Product Innovation and Development (RaPID) Centre and SIT-Poly Innovation Centre of Excellence (SPICE) Centre. The RaPID Centre aims to guide businesses in their innovation and value creation activities through rapid product development and sample production while the SPICE Centre aims to support local Small and Medium Enterprises (SMEs) in their technology-driven transformation, innovation and talent development initiatives. These Innovation Centres house a dedicated pool of Professional Officers who come with specialised and deep technical skills acquired through extensive industry experience. Professional Officers work with industry partners to co-create commercially viable solutions. They deliver on projects that help industries and businesses to move up the innovation value chain. While working on these projects, Professional Officers will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands. The success of these initiatives will bring about deeper collaboration with key industry stakeholders that will translate the industry engagement into more innovation projects with SIT. Key Responsibilities Lead or co-lead innovation projects with industry. Involve in customer engagements including gathering of systems requirements and writing project scope. Involve in the full development life cycle, i.e., design, development, and testing Generate technical proposals, design documents, test documents. Manage laboratories and equipment to support academic programmes and applied research. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Job Requirements A degree in Computer Science or related Engineering discipline. Possessing a master’s degree, PhD degree and relevant certifications will be an added advantage. Experienced in developing machine learning and generative AI solutions for deployment into production. Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras) Strong programming skills in Python/Java/Javascript. Knowledge in LLM, RAG, LangChain would be advantageous. Knowledge of cloud computing and AI deployment (AWS, Google Cloud, Microsoft Azure) would be advantageous. Excellent problem-solving, analytical, and creative thinking skills. Work independently, as well as within a team, to ensure that the project can meet the milestones adhering to the stipulated timeline. At least 2 years working experience in AI/ML software development.