Guangdong University of Foreign Studies

The Clinical Psychology programme team is looking to employ a Clinical Associate, from February 2026 until September 2027. During this period, you will be contracted to work 900 hours (working pattern to be agreed in discussion with the research team) to support the development of our work within the homeless sector.  With support from South-East NHS England, the Surrey PsychD programme has been working on an innovative project over the past two years to develop homelessness placements for trainees, and to embed housing and homelessness as a priority agenda within the PsychD programme. The project seeks to expand the psychological workforce within the homelessness sector, and to generate ways of working between the third sector and the NHS. Building on the success of the project to date, we are now seeking an Associate with experience of working in the homelessness sector, or a similar field, to support the continued development of these placements and the longevity of the project. This post will form a crucial role in building strategic relationships with local third sector organisations across Surrey and Sussex, and with our partner NHS Trusts’ housing initiatives.  The post holder will be expected to develop and coordinate trainee placements, generate new ways to assess trainee competencies within these organisations, and support trainees undertaking these roles. There will also be a requirement to support supervisors in the region, and to work with organisational leads to provide overall structure to the placements. This is an exciting time to join the project team, with opportunities for project management, leadership, stakeholder engagement and national dissemination. The role will involve close liaison with the PsychD programme exec team, as well as the wider team. About you The post holder will be expected to have excellent communication skills and a passion for supporting those who are marginalised and facing inequalities and deprivation. Applicants will need to be registered with the HCPC as a Clinical or Counselling Psychologist, will have experience of working in third sector organisations, and will be able to demonstrate excellent organisational and project management skills. The post will provide an opportunity to work with a team of applied psychologists, homeless sector partners as well as trainees who respect and value one another, are advocates for lived experience, lifelong learning, and who embrace change.  The School and Faculty The clinical psychology programme is based within the School of Psychology, within the Faculty of Health and Medical Sciences (FHMS). The faculty is a leading provider of undergraduate and postgraduate healthcare education, research and consultancy. It has extensive links with local health care providers and is based in a modern, purpose built, state-of-the-art teaching facility on the University of Surrey campus in Guildford. The campus provides a pleasant working environment with close links to road and rail transport. Further information about the University and the School of Psychology can be found at https://www.surrey.ac.uk/school-psychology Further Information For an informal discussion please contact Jane Iles, Programme Director via j.iles@surrey.ac.uk or Mary John, Head of Discipline via m.john@surrey.ac.uk  To apply please submit your CV and cover letter via the University website. The University of Surrey 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 Further Particulars

About Us We are seeking to appoint a Clinical Reader or Professor of Neonatal Medicine to replace a retiring colleague to help lead a large scale programme of neonatal research in conjunction with the Evelina London Children’s Hospital. The post is 10 PA, with 5 academic Pas, 4 direct clinical care, and 1 supporting professional activities. The post holder will be appointed in the Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences (BMEIS), where their duties will include academic, clinical and teaching work. BMEIS is a cutting-edge research and teaching division, dedicated to the development, clinical translation, and clinical application of medical imaging and computational modelling technologies. The School is placed within St. Thomas’ Hospital and therefore offers an exciting opportunity to perform truly translational research by supporting rapid translation of basic science into clinical applications. The clinical side of the post will be based in the Evelina London Neonatal unit, located at St Thomas’ Hospital London, where they will join an existing team of 18 Consultants. Candidates wishing to work less than full time can also be accommodated and are encouraged to apply. The Evelina London Neonatal Unit is one of the largest in the United Kingdom, with 900-1000 admissions per year (of which ~200 were The unit is one of three NICU in the South London Neonatal ODN. Facilities on the Neonatal Unit were purpose built, alongside the maternity unit in 2002 and we are in the process of planned refurbishment. The postholder will be involved in providing clinical leadership, hands on care and training in neonatal intensive (IC), high dependency (HD) and special care (SC) on the tertiary neonatal unit of ELCH. There will also be commitments to antenatal consultations for women expecting babies with neonatal problems, oversight of care Transitional Care and on the Postnatal Ward and an option to take on neonatal outpatient follow-up commitments. The service weeks entail blocks on either IC, HD or SC areas, with additional clinical commitments in the job plan for some non-attending weeks. About The Role The post holder will: Take a major part in the academic work of the Department in the School of Biomedical Engineering and Imaging Sciences, led by Professor Tomoki Arichi, working with clinical and non-clinical researchers with the aim of obtaining major funding for large scale programmes of cutting edge research and conducting research at an international standard. To supervise and co-supervise clinical and non-clinical researchers (including PhD and MD students). To take an active part in undergraduate and postgraduate teaching and training. To develop an independent research programme and develop leadership as a clinical scientist. To contribute to the dissemination of scientific results by means of writing papers for publication in leading academic journals, presenting orally and in poster form at academic meetings, seminars and conferences. It is expected that the postholder will wish to continue to contribute to the Clinical work of the Evelina London Children’s Hospital and appropriate arrangements will be made through the Medical Directorate to facilitate this. To contribute to the development of research capacity and clinical practice in the Evelina London Children’s Hospital. This is a full time  post (40 hours per week), and you will be offered an indefinite contract. About You  To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Full registration with valid license to practice, PhD qualified in relevant subject area (or pending results), MRCPCH or equivalent and on GMC Specialist Register for Neonatal Medicine or within six months of attaining CCT in Neonatal Medicine. Experience in complex and tertiary neonatal care at senior registrar or consultant level. Ability to coordinate complex clinical care within multidisciplinary team. Experience with neonatal care for babies with subspecialist conditions. High level of clinical skills and knowledge appropriate for busy tertiary neonatal care. Track record of academic publication in leading scientific journals. Track record of being awarded independent academic funding. Research experience/publication track-record within the sphere of fetal, infant or child health. Desirable criteria  Evidence of leadership in the development of clinical services. Experience of undergraduate teaching and post graduate training. Experience with research, which will allow the applicant to communicate with basic scientists to bring basic research into clinical practice (translational medicine). Strong commitment to delivering patient-centred care. Exceptional verbal and written communication skills. 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 We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. 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 advert. 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: Reader or CCCB     Job ID: 125386 Close Date: 19-Jan-2026 Contact Person: Sarah Jeffrey     Contact Detail: sarah.jeffrey@kcl.ac.uk

Description Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has launched its first Undergraduate (Bachelor’s) degree programs and is looking for passionate and highly motivated Teaching Faculty.  The Undergraduate Division is seeking teaching faculty at all levels with expertise in Software Engineering. This comprehensive course bridges theory and practice in modern software engineering, equipping students with the skills to design, develop, test, and deploy production-ready web and mobile applications while integrating AI technologies responsibly throughout the development lifecycle. Responsibilities include: Teaching courses across software engineering and related areas using inclusive, activity-led, project-based pedagogy Advising and mentoring students on coursework, projects, and research Contributing to curriculum development, assessment of learning outcomes, and service About MBZUAI – A Global Leader in AI Research and Education MBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2019, MBZUAI has grown into a top-ranked AI institution. With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions. Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a PhD in Software Engineering, Computer Science, Computer Engineering, Information Systems, or a closely related field. Technical Expertise in one or more of the following areas: Software architecture and design patterns Software development lifecycle (SDLC) and agile methodologies Full-stack web development Mobile application development Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience) Professional Practice - Demonstrated experience with: Version control systems Automated testing frameworks and methodologies API design and documentation Production deployment and monitoring Strong commitment to project-based learning and hands-on pedagogy Preferred Qualifications: Research: Evidence of sustained research impact and experience supervising student research Technical Proficiency with: Deployment of machine learning and deep learning models Modern JavaScript/TypeScript ecosystems (React, Node.js, React Native) Python web frameworks (FastAPI, Django, Flask) Database systems (SQL and NoSQL) Cloud platforms (AWS, Azure, or Google Cloud) Container orchestration (Docker, Kubernetes) Application Instructions To apply for this position, please submit the following:     Cover letter                                                     Curriculum Vitae Teaching statement                                                     Reference letters or Name and contact details for three referees MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.  Be a part of AI’s future – apply today at MBZUAI! #MBZUAI #careeropportunities #AI Equal Employment Opportunity Statement Mohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.