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Medical Engineering: Fully Funded EPSRC PhD Scholarship: Development of AI approaches to analysis of biological cell imaging data

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EPSRC FUNDED SCHOLARSHIP: Development of AI Approaches to Analysis of Biological Cell Imaging Data


Application closes on the 3rd of June 2022
Project start date: 1 July 2022 (Enrolment open from mid–June)
Project supervisors: Claire Barnes, Paul Rees and Huw Summers
Aligned programme of study: PhD in Nanotechnology
Mode of study: Full-time

 

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Brief Description:

The Scholarship Funded by Engineering and Physical Sciences Research Council (EPSRC) covers the full cost of UK tuition fees and an annual stipend of £15,609. Applications Analytical disciplines, Mathematics, Engineering, Computer Science, or other related disciplines would be considered. Candidates must normally hold an undergraduate degree at 2.1 level (or Non-UK equivalent as defined by Swansea University) in Engineering or similar relevant science discipline. Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by UKCISA regulations. English Language requirements, if applicable is IELTS 6.5 overall (with at least 5.5 in each individual component) or Swansea recognised equivalent

Project description:

The project offers an ideal opportunity for graduates with an interest in the application of AI in biology and medicine to gain experience in development of open-source platforms and to work with industrial partners to apply them to real-world challenges.

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Specifically, the project will build upon, Deepometry, an open-source workflow developed with the objective of applying deep learning algorithms to the analysis of cytometry data. This has been developed in collaboration with GSK and the Broad Institute of MIT and Harvard. The project will involve software development and the application of this deep learning tool to a number of exciting datasets. In particular, the development of ‘Deepometry 2’ will extend our current software for use on both 2D and 3D images and enable use the imaging technology to image tissue from patient samples.

The project will run in conjunction with researchers at GSK, Philadelphia, US and Stevenage, UK who will provide financial assistance for the applicant to spend substantial periods of time at GSK and work on key research problems.

 

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Host Institution:

Swansea University has been at the cutting edge of research and innovation since 1920 with a long history of working with business and industry but today their world-class research has a much wider impact across the health, wealth, culture, and well-being of our society.

We have achieved an extraordinary level of success in recent years and our research activity exceeds that of many larger universities yet this has not compromised the friendly and relaxed atmosphere that has always characterised the “Swansea experience”. Having celebrated her Centenary in 2020, they look forward to continuing to work together to improve lives and the bright future that the next century will bring. 

How To Apply:

Ensure to complete your application online with the following information:

  • Course choice please select Nanotechnology / PhD / Full-time / 3 Year / JulyI n the event you have already applied for the above programme previously, the application system may issue a warning notice and prevent application, in this event, please email [email protected] where staff will be happy to assist you in submitting your application.
  • Start year – please select 2022
  • ‘Are you funding your studies yourself?’ – please select No
  • ‘Name of Individual or organisation providing funds for study’ – please enter ‘RS81 – Development of AI’
    *It is the responsibility of the applicant to list the above information accurately when applying, please note that applications received without the above information listed will not be considered for the scholarship award.
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One application is required per individual Swansea University led research scholarship award; applications cannot be considered listing multiple Swansea University led research scholarship awards.

As part of your online application, you MUST upload the following documents (please do not send these via email):

  • Equality, Diversity and Inclusion (EDI) Monitoring Form (online form)
  • CV
  • Degree certificates and transcripts (if you are currently studying for a degree, screenshots of your grades to date are sufficient)
  • A cover letter including a ‘Supplementary Personal Statement’ to explain why the position particularly matches your skills and experience and how you choose to develop the project.
  • Two references (academic or previous employer) on headed paper or using the Swansea University reference form. Please note that we are not able to accept references received citing private email accounts, e.g. Hotmail. Referees should cite their employment email address for verification of reference.
  • Evidence of meeting English Language requirement (if applicable).
  • Copy of UK resident visa (if applicable)
  • Informal enquiries are welcome, please contact Claire Barnes ([email protected]).
  • External Partner Application Data Sharing – Please not that as part of the scholarship application selection process, application data sharing may occur with external partners outside of the University, when joint/co- funding of a scholarship project is applicable.

Please visit our website for more information.

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