PhD Studentship in Al Enabled Healthcare Systems

About the role

The student will join the prestigious UKRI UCL Centre for Doctoral Training in AI-enabled Healthcare Systems which offers a unique programme of an (optional) 1 Year MRes followed by a 3 year PhD embedded within an NHS setting. The MRes will cover the core competencies of AI with an emphasis on how healthcare organisations work, the ethics of medical AI, and a broad approach to research, innovation and entrepreneurship. In Years 2-4, they will undertake their PhD at IHI supported by CHIMERA, CORU, and the Institute of Health Care Engineering. All departments have a thriving doctoral student programme with a high conversion rate to completed PhDs.

Our department maintains a very high standard of recruitment and pride themselves on friendly, caring and expert supervision of PhD students.

All students are assigned a principal supervisor responsible for overseeing the student’s research training and subsidiary supervisors who provide additional support to ensure the relationship with the principal supervisor is working effectively and who also monitor the student’s progress, providing support and encouragement. Students receive additional pastoral support from the Department’s graduate tutor.

Research students are normally required to do 80 hours per year of courses or transferable skills training (leadership, management, writing and presentation skills etc.) offered by UCL’s Skills Development Programme. Each student keeps a formal log to record their training experiences. At the end of the first PhD year, students are required to submit an upgrade report (around 10,000 words), give a formal upgrade presentation to the department, and have a viva examination by external assessors. If the report and viva are satisfactory, the student will be recommended to transfer to full registration for a PhD. Students will also participate in training such as entrepreneurship and attend our annual CDT conference.

About you

This applicant should be a clinician who wishes to combine clinical work in critical care with a future career in AI for Healthcare. The applicant must hold MBBS or equivalent, current GMC registration, and demonstrate evidence of an interest in quantitative research, machine learning for health or similar, and demonstrate strong computational skills.

Applicants should have a first-class or upper second-class Bachelor’s degree and a Master’s degree (or equivalent work experience) in a relevant discipline or an overseas qualification of an equivalent standard.

Closing deadline for applications :  Friday 10^th March 2023

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