PhD Studentship in Artificial Intelligence in Medical Imaging and Diagnostics

This research will explore innovative AI methodologies aimed at supporting clinicians in interpreting complex imaging data and generating meaningful diagnostic insights.<br /> <br /> The project will involve leveraging advanced natural language processing and medical image analysis to transform imaging data into clinically relevant information. Additionally, it will explore the use of multimodal fusion techniques to combine data from multiple sources, integrating both visual and textual information to deepen our understanding of patient health.<br /> <br /> This studentship offers a unique opportunity to contribute to cutting-edge research at the intersection of artificial intelligence and healthcare, with the goal of improving diagnostic accuracy and patient outcomes.<br />

<p>Formal applications for research degree study should be made online through the <a href="https://www.leeds.ac.uk/research-applying/doc/applying-research-degrees">University's website</a>. Please state clearly in the Planned Course of Study section that you are applying for <em><strong>PHD Computer Science </strong></em>and in the research information section that the research degree you wish to be considered for is <em><strong>Artificial Intelligence in Medical Imaging and Diagnostics</strong></em> as well as <a href="https://eps.leeds.ac.uk/computing/staff/15543/dr-ping-lu">Dr Ping Lu</a> as your proposed supervisor. <em><strong>Please state clearly in the Finance Section that the funding source you are applying for is the School of Computer Science Studentship 2025/26</strong></em>.</p> <p>If English is not your first language, you must provide evidence that you meet the University's minimum English language requirements (below).</p> <p><em>As an international research-intensive university, we welcome students from all walks of life and from across the world. We foster an inclusive environment where all can flourish and prosper, and we are proud of our strong commitment to student education. Across all Faculties we are dedicated to diversifying our community and we welcome the unique contributions that individuals can bring, and particularly encourage applications from, but not limited to Black, Asian, people who belong to a minority ethnic community, people who identify as LGBT+ and people with disabilities. Applicants will always be selected based on merit and ability.</em></p> <p>Applications will be considered on an ongoing basis.  Potential applicants are strongly encouraged to contact the supervisors for an informal discussion before making a formal application.  We also advise that you apply at the earliest opportunity as the application and selection process may close early, should we receive a sufficient number of applications or that a suitable candidate is appointed.</p> <p>Please note that you must provide the following documents in support of your application by the closing date of Friday 3 January 2025:</p> <ul> <li>Full Transcripts of all degree study or if in final year of study, full transcripts to date</li> <li>Personal Statement outlining your interest in the project</li> <li>CV</li> </ul>

Applicants to research degree programmes should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. The criteria for entry for some research degrees may be higher, for example, several faculties, also require a Masters degree. Applicants are advised to check with the relevant School prior to making an application. Applicants who are uncertain about the requirements for a particular research degree are advised to contact the School or Graduate School prior to making an application.

The minimum English language entry requirement for research postgraduate research study in the School of Computer Science is an IELTS of 6.5 overall with at least 6.5 in writing and at least 6.0 in reading, listening and speaking or equivalent. The test must be dated within two years of the start date of the course in order to be valid.

<p class="MsoNoSpacing">A highly competitive School of Computer Science Studentship providing the award of full academic fees, together with a tax-free maintenance grant at the standard UKRI rate (£19,237 in academic session 2024/25) for 3.5 years. There are no additional allowances for travel, research expenses, conference attendance or any other costs. Please note that this studentship is open to UK applicants only.</p> <p>You will be responsible for paying the overtime fee in full in your writing up/overtime year (£320 in Session 2024/25), but the scholarship maintenance allowance will continue to be paid for up to 6 months in the final year of award.</p> <p>Please refer to the <a href="https://www.ukcisa.org.uk/">UKCISA</a> website for information regarding Fee Status for Non-UK Nationals.</p>

<p>Informal enquiries are encouraged and should be addressed to Dr Ping Lu by email to <a href="mailto:p.lu@leeds.ac.uk">p.lu@leeds.ac.uk</a></p> <p>For further information about your application, please contact PGR Admissions by email to <a href="mailto:phd@engineering.leeds.ac.uk">phd@engineering.leeds.ac.uk</a></p>