How to Apply
We are inviting applications from students who are enthusiastic and strongly motivated to develop cutting-edge AI methods and applications for healthcare in a multidisciplinary setting. For the Academic Year 2021-22, entry October 2021, we have a dozen or more opportunities available - both regular studentships and clinical PhD fellowships.
Our Centre values diversity and equality and is committed to providing an inclusive environment in which all students can thrive, and we particularly encourage applications from women, disabled and Black, Asian and Minority Ethnic (BAME) candidates, who are currently under-represented in the sector. Our students will be registered in the Department of Computing, which is an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and working in partnership with GIRES to promote respect for trans people.
Entry Requirements and Eligibility
Our programme is open to all applicants* who meet both the general Imperial College minimum eligibility and entry requirements, and our programme’s eligibility and entry requirements. *[As well as UK nationals and people settled in the UK (including settled status, pre-settled, and indefinite leave to remain), the programme is open to international applicants.]
Imperial College Requirements
English Language Requirements
Applicants will be asked to show they have met the College’s English-language requirement. The College’s postgraduate English language entry requirement page describes the exemptions and tests accepted: our programme requires that students have proficiency at Standard level.
AI for Healthcare CDT Programme Requirements
Entry to our AI for Healthcare CDT programme is very competitive. Successful applicants normally have a First Class (4-year-undergraduate degree) and/or Distinction level Master's degree or equivalent degree in a relevant scientific or technical discipline, such as computer science, engineering (mechanical, electrical/electronics, biomedical engineering), mathematics, physics, statistics, as well as biological sciences, or medicine. Desirable core skills include mathematics, statistics, or data science. Additional expertise in medicine or biology (especially quantitative and biological systems) is valuable, as is expertise in machine learning, computer vision, deep learning, robotics, natural language processing, human-computer interfaces or software engineering. If in doubt, prospective applicants are encouraged to apply in any case.
Clinical PhD Fellows Eligibility
Our Centre is keen to receive applications from medical graduates who want to become a clinical PhD fellow and demonstrate their commitment to research on AI Technologies applied to healthcare. The clinical supervisors and healthcare partners span the full breadth of healthcare challenges facing society, such as dementia, brain and mental health, infectious diseases, cancer and surgery, obesity and diabetes, cardiovascular and lung diseases, intensive care and primary care.
Eligibility criteria: Normally, clinical PhD applicants should be
What the Application Journey Looks Like
Please provide all academic transcript(s) via scans of good quality. For those currently studying for a degree, the names of the programmes and results that they have achieved so far (percentages as well as grades) and their expected final grade.
The statement should describe your academic and career plans as well as your motivation for research and not be longer than 1 page. When writing your personal statement, please make sure it answers the following questions:
Again, no specific research proposal is required. You do not have to have contacted a potential supervisor, but if you have spoken to any about specific projects, please do list them.
For further enquiries or questions, please email us at firstname.lastname@example.org
Once your online application is completed, you can also monitor the progress of your application on your application portal.
If you are experiencing problems with your account, you can report a technical issue.
Funding for Regular PhDs
Our studentship can provide support for up to 4 years. Stipend support during the final six-month "Impact" phase (months 42-48), which gives you scope to move your work further towards real-world application, is dependent on good project progress and suitable opportunities for impact. The studentship covers a tax-free stipend at standard UKRI rate (e.g. rate in 2020-21 was £17,285 per annum) and the tuition fees (Home/UK Fee level) including Writing-up fee in the fourth year. The stipend rates usually increase slightly each year in line with inflation rates.
Funding for Clinical PhD Fellows
The clinical PhD fellows typically study for 3 years and the funding provides a clinical salary and covers the tuition fees (Home/UK rates).