XAI Health: Explainability for Artificial Intelligence (AI) in the Healthcare Sector
Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. One of these projects is “XAI Health: Explainability for Artificial Intelligence (AI) in the Healthcare Sector” led by Dr Alaa Marshan in the Department of Computer Science
Successful applicants will receive an annual stipend of £18,062 including outer London allowance plus payment of their full-time tuition fees for a period of 42 months (3.5 years).
You should be eligible for home (UK) tuition fees but there is a limited number of studentships (no more than two) available to overseas applicants, including EU nationals, who meet the entry criteria.
The aim of the project is to aid clinical practitioners trust the medical diagnosis AI-based systems such as medical imaging and understand the predictions (classifications) made by these systems. You will be working with a team of experts on Artificial Intelligence (AI) to explore the latest advancements related to the explainability of AI (XAI) and develop novel approach to interpret the results of AI models in the health and medical care sectors.
Please contact Dr Alaa Marshan at email@example.com to find out more.
You will have or will receive an undergraduate degree classified at 1st class or 2:1 (honours) in computer science. A postgraduate masters degree may be an advantage. Where appropriate, applicants must have English language proficiency to an overall score of IELTS 6.5 or equivalent.
Skills and Experience
This position requires knowledge and experience of Machine Learning and Deep Learning as well as familiarity with Explainable AI. You should demonstrate an ability to apply different research methods. You should be a highly motivated individual and possess a strong sense of curiosity. The ability to study independently, think critically and collaborate with others is essential
How to apply
Email the documents below as a single PDF file to firstname.lastname@example.org by 16:00 on Friday 3 June 2022. Please state the name of the project supervisor in your email.
- Your up-to-date CV;
- Your 300-word personal statement setting out why you are suitable for this position;
- Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);
- Your English Language qualification of IELTS 6.5 overall or equivalent, if applicable;
- Two references, one of which can be provided by a member of Brunel University academic staff.
Interviews will take place in June 2022.