The fellowship will take place over twelve months, combining clinical responsibilities with dedicated time (one day per week) to focus on digital health and AI initiatives. Possible areas of development include: Digital Transformation in Healthcare: Leading and contributing to projects that apply digital technologies to transform workflows, optimise patient careprocesses, and improve clinical outcomes in the critical care setting. Usability and User Experience (UX): Developing expertise in the design,evaluation, and implementation of digital health tools, ensuring they are user friendly and align with the needs of both clinicians and patients in the real world critical care environment. Data Analytics in Critical Care: Training in handling and analysing largedatasets from electronic health records (EHR) and bedside monitoringdevices to support evidence-based decision-making. Machine learning and AI in the diagnosis and management of respiratory failure. Fellows will participate in clinical research projects involving AI-driven diagnostic and treatment algorithms in respiratory critical care. Fellows will receive close supervision from senior mentors throughout the fellowship. They are expected to present their work within the department and at conferences and submit publications in relevant scientific journals. Whilst not a defined expectation, participation in the digital critical care datathon organised by the ESICM data science section and Amsterdam UMC is strongly encouraged during the fellowship tenure. Clinical DutiesAlongside digital health projects, the appointee will deliver clinical duties at the senior level in the corresponding on-call rota both in the Oxford Critical Care and Churchill ICU of Oxford University Hospitals NHS Trust. Fellows will develop advanced clinical knowledge and skills in ICM while integrating digital solutions into the practice.Candidates from any Intensive Care Medicine related speciality are encouraged to apply. Applicants must demonstrate strong airway management and resuscitation skills. Fellowship Support and DevelopmentFellows will be actively supported in applying for external fellowships, such as the Topol Fellowship, which focuses on leadership in digital health. Previous fellowsfrom this department have successfully obtained such fellowships, and support willinclude guidance on applications and mentorship throughout the process. Support for application to higher educational courses can be considered with prior discussion.Supervision - The fellowship will be overseen by consultants Dr David Clarke, lead for digital health at Oxford Critical Care, Dr Raja Jayaram, fellowship co-lead and program director for Oxford Critical Care fellowships, and experts in digital health and AI.Regular progress evaluations, including project reports, peer feedback, and competency assessments, will be conducted, with a mandatory six-month successful review to proceed with further advancement in the program.