Wofford College

Organisation: Cranfield University Faculty or Department: Facilities Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible working will be considered. Contract type: Permanent Salary: Competitive salary Apply by: 25/01/2026 Role Description We welcome applications from experienced, strategic estates leaders who are passionate about creating high-quality, sustainable environments that enable world-class teaching, research and innovation. About the Role Cranfield University is seeking an experienced and strategic Director of Facilities to lead the planning, development and operation of the University’s diverse estate and infrastructure. Reporting to the Chief Operating Officer and operating as a senior member of the University’s leadership team, you will be responsible for developing and delivering the University’s Estates Strategy and Masterplan, ensuring alignment with the Academic and Financial Strategies. You will provide strategic leadership across all aspects of estate development, facilities management, property management, capital projects, compliance, sustainability and health and safety, supporting a complex campus that includes residential accommodation, laboratories, commercial facilities and a fully operational airport. You will lead a large, multi-disciplinary professional services team and work closely with senior academic and professional colleagues, external partners, regulators and local authorities to ensure the University’s physical environment supports its long-term ambitions, including delivery of its net zero carbon commitment by 2030. About You You will be a senior estates or facilities professional with substantial experience of leading complex property portfolios and multidisciplinary teams within a large organisation. Educated to degree level (or equivalent) in a relevant discipline, you will bring a strong track record of strategic estate planning, capital development, facilities management and financial stewardship. You will have a deep understanding of the legal, regulatory, health and safety and sustainability requirements associated with managing major estates and infrastructure. You will demonstrate: Proven leadership experience, with the ability to motivate, develop and lead large professional teams Strategic planning and delivery skills, including experience of estates masterplanning and capital investment programmes Strong financial and commercial acumen, including budget management and value-for-money delivery Excellent communication, influencing and stakeholder engagement skills, with confidence operating at executive and board level A collaborative, inclusive leadership style aligned with Cranfield’s values. Membership of a relevant professional body (such as RICS, CIOB or RIBA), a relevant Master’s degree and/or a recognised health and safety qualification (e.g. NEBOSH or IOSH) would be advantageous. About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here. Facilities is a major professional service unit within the University, responsible for the effective management, development and maintenance of Cranfield’s buildings, infrastructure and land. The team plays a critical role in ensuring a safe, sustainable and high-quality environment that enables the University to deliver excellence in teaching, research and commercial activity. Our Values and Commitments Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more here. We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity Working Families. Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working here. Working Arrangements Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners. How to apply                                     For an informal discussion about this opportunity, please contact Rebecca Churchill, Chief Operating Officer on E: Rebecca.Churchill@cranfield.ac.uk or T: +44 1234 75 4027 Please do not hesitate to contact us for further details on E: hrrecruitment@cranfield.ac.uk.  Please quote reference number 5170. Closing date for receipt of applications: 25 January 2026 Please note that we reserve the right to close this advert prior to the stated closing date should we receive sufficient numbers of applications. Therefore, we would encourage you to complete and submit your application as soon as possible.

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

Location Abu Dhabi, United Arab Emirates Open Date Nov 14, 2025 Deadline Aug 31, 2026 at 11:59 PM Eastern Time Description MBZUAI is a research-focused university in Abu Dhabi, and the first university dedicated entirely to the advancement of science through AI. The university empowers the next generation of AI leaders, driving innovation and impactful applications of AI through world-class education and interdisciplinary research. In 2025, MBZUAI launched its first ever undergraduate program, a Bachelor of Science in AI, with two distinct streams: Business and Engineering, and are looking for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty to teach an undergraduate course, Machines that Create, an introductory yet comprehensive overview on Generative AI and Foundation Models, covering the methods and techniques driving modern AI systems capable of generating data such as text, images, sounds, graphs and other data types. Students will explore the core principles behind generative models, including advanced transformer architectures, diffusion models, and autoregressive techniques, as well as their applications in natural language processing, computer vision, and beyond. The course emphasizes hands-on learning, enabling students to understand and implement state-of-the-art methods while critically evaluating their ethical implications and limitations. Responsibilities include: Delivering high-quality instruction in Generative AI, Foundation Models, and related AI techniques. Developing and maintaining course content, exercises, and hands-on projects aligned with the latest research and industry practices. Fostering an interactive, student-centered learning environment that emphasizes experimentation, problem-solving, and critical evaluation. Mentoring and advising students in course projects and applied AI research. Collaborating with colleagues to integrate ethical and methodological perspectives into AI curricula. 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 Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Demonstrated expertise in Generative AI, Foundation Models, or related areas of machine learning. Experience with modern AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers) and practical implementation of generative models. Strong commitment to teaching excellence and fostering student engagement. Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience) 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 part of AI’s future—apply today to MBZUAI! *#MBZUAI #careeropportunities #AI