Overview

 Senior Lecturer/Reader in Applied Artificial Intelligence for Better Health & Care (Education & Research) – Strand, London, WC2R 2LS 

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 innovation  and a strong focus on mentoring and career development.  King’s hosts two key entities central to this role: the  Institute for Artificial Intelligence, which brings together interdisciplinary expertise to advance cutting-edge AI research and education while addressing societal and ethical implications; and the  Better Health & Care Hub, driving transformative approaches to care through frugal innovation, strengthening the careforce, and engaging communities.
 
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.  REF2021 assessed 98% of King’s research in Computer Science and Informatics as world-leading or internationally excellent, highlighting the university’s strength in this field.
 
As of 2025, King’s is ranked 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) (<250 staff, ~3000 students) 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 develops and transforms therapies, the health & care experience and outcomes – including leveraging AI, digital innovation, and data-driven approaches 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 –  with a newly emerging programme planned on digital health & care.
 
We are committed to staff development, and offer opportunities to identify and access appropriate training and professional growth.

About the role

King’s Better Health & Care Hub (BH&CH) is a dynamic world-leading, cross faculty initiative to develop research and education dedicated to supporting the transformation of health and care, in partnership, on a local, national and international scale. BH&CH aims to support research and education which radically redesign interventions, systems, and pathways to address the most pressing challenges faced by people living with complex illnesses, and the healthcare systems that support them.
Led by the Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care (NMPC), in collaboration with the Faculty of Social Science & Public Policy (SSPP) and the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), our initiative harnesses interdisciplinary expertise from across King’s College London, bolstered by strategic partnerships with NHS, social care, community, patient-led, charitable and international organisations.
 
Applications are invited for a Senior Lecturer/Reader in Applied Artificial Intelligence (AI) to join the Better Health & Care Hub. This is a unique opportunity to lead ambitious, interdisciplinary research and education at the interface of AI, digital health, and applied clinical science, contributing directly to BH&CH’s mission to transform care for people with complex health and social needs.
 
The successful candidate will be based in the Digital Health & Applied Technology Assessment Research Division within NMPC, as well as in the Hub, developing and delivering collaborative, internationally-leading research and education in applied AI, to further the aims of BH&CH. We welcome applications from clinical and non-clinical academics with expertise related to applied AI for health, care, service innovation, or related fields.
 
This role offers the opportunity to:
  • Develop and drive high-impact externally funded research that leverages AI and digital innovation to improve patient care, outcomes, and experiences.
  • Lead the development and delivery of the new postgraduate education and awards in Digital Health and AI, alongside contributions to pre-registration and other postgraduate teaching and PhD supervision.
  • Build and lead interdisciplinary collaborations locally and internationally, influencing the future of AI in health and care.
  • Shape BH&CH’s strategic priorities, contributing to its Careforce, Frugal Innovation, and Communities themes, leadership and capacity building.
We are seeking a candidate with a strong track record in applied AI research and education, demonstrated interdisciplinary engagement, and the ambition and leadership to align with and advance BH&CH’s and the Faculty’s mission. You will join two Readers in the Hub, alongside interdisciplinary teams and post-doctoral fellows. You will develop AI driven solutions for people affected by multiple long-term conditions or comorbidities, complex care needs, advanced illness, or requiring palliative care. You will deliver approaches that are equitable, scalable, and transformative, advancing health and care delivery at the forefront of AI and digital innovation.
 
This is a full-time post (35 hours per week), and you will be offered an ​indefinite contract​.
 
Location: Hybrid – minimum of 2 days per week on Waterloo campus

About You

To be successful in this role, we are looking for candidates to have the following skills and experience:
 
Senior Lecturer: 
 
Essential criteria 
  1. Higher academic degree (PhD or medical equivalent)
  2. Clear upward trajectory of peer-review publications with sustainable track record consistent with world-leading or internationally excellent REF outputs, with originality, rigour, and significance in areas relevant to applied AI and the Better Health & Care Hub, Faculty and Division research themes. Publications should demonstrate growing international recognition of research excellence in the field of applied AI.
  3. Evidence of ability to secure research grant funding, demonstrated by previous experience and upward sustainable track record, clear future plans, experience of funding schemes relevant to Better Health & Care Hub and Faculty research themes, and demonstrable leadership in delivering on these funded projects. Clear ability to obtain sufficient funding to lead a research group to deliver an innovative AI research programme.
  4. Evidence of continued development in research methods in applied AI research, and how these would contribute to improving and/or complement the Better Health & Care Hub and Faculty’s research and education, with increasing expertise in specific areas.
  5. Experience of and training in PhD supervision, as first or second supervisory and/or as part of supervisory progression panels.
  6. Evidence of commitment to continued development in AI evidence-based practice, research methods and evidence relevant to care, with up-to-date knowledge, skills and accomplishments, able to supervise MSc and undergraduate student projects and critically appraise a wide range of relevant research, including data presentation and basic analysis.
  7. Excellent teaching experience and skills in AI-related or applied topics at MSc and/or undergraduate level, including design of module curricula, teaching materials, and assessments.
  8. Proven expertise in applying AI in health and care contexts, with the ability to translate research and practical experience into engaging, high-quality teaching for interdisciplinary audiences through curriculum development and delivery.
Desirable criteria 
  1. Relevant clinical, health or social care expertise and proven commitment to one or more of the fields relevant to the faculty and hub, and a network of national successful collaborations that will benefit our future directions
  2. Ability to identify new research, PhD supervision or education opportunities and collaborative partnerships to enhance the work of the Better Health & Care Hub, Division, Faculty and King’s
  3. Experience of PhD supervision to completion
  4. Experience in online or blended teaching and assessment, such as via digital platforms, on-line learning environments, use of digital tools for student engagement, especially with interdisciplinary audiences
Reader: 
 
Essential criteria 
  1. Higher academic degree (PhD or medical equivalent) 
  2. Clear upward trajectory of peer-review publications with sustainable track record consistent with world-leading or internationally excellent REF outputs, with originality, rigour, and significance in areas relevant to Better Health & Care Hub and Faculty research themes. These should demonstrate growing international recognition of research excellence in field of applied Artificial Intelligence (AI) or internationally recognised leadership in their field of applied AI with new knowledge and innovation. 
  3. Evidence of ability to secure research grant funding, demonstrated by previous experience and upward sustainable track record, clear future plans, experience of funding schemes relevant to Better Health & Care Hub and Faculty research themes, and demonstrable leadership in delivering publications/projects. Clear ability to obtain sufficient funding to lead a research group to deliver an innovative AI research programme or experience in obtaining funding and leading a research group to deliver an innovative AI research programme. 
  4. Evidence of continued development in research methods in applied AI research, and how these would contribute to improving and/or complement the Better Health & Care Hub and Faculty’s research and education, with increasing expertise in specific areas (e.g. health services research, trials, mixed methods, co-design, big data analysis, implementation science, economics, statistics, patient and public involvement), and with international recognition of this. 
  5. Experience and proven skills in the planning, developing and delivering high-quality evaluated education at undergraduate and/or postgraduate levels with a strong focus on a high-quality student experience and success. Evidence of leadership in education or assessment initiatives. Evidence of supervising PhD students and strong progress and timely completion. 
  6. Evidence of commitment to continued development in AI evidence-based practice, research methods and evidence relevant to care, with up-to-date knowledge, skills and accomplishments, able to supervise MSc and undergraduate student projects and critically appraise a wide range of relevant research, including data presentation and basic analysis. 
  7. Teaching experience in AI or applied topics at undergraduate and/or MSc level, including designing modules, developing teaching materials and assessments, and delivering engaging learning experiences—particularly translating AI research and practical applications in health and care for interdisciplinary audiences

 

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