About the Project
The PhD project is expected to lead to a series of publications in leading conference proceedings and scientific journals.
Keele University is renowned for its exciting approach to higher education and research, beautiful campus, strong community spirit and excellent student life. The University has the UK’s largest campus with 617 acres of landscaped parkland, fields, woodlands and lakes. Keele University runs its own day nursery for infants from 3 months to 5 years and is committed to equality and diversity. Information for prospective postgraduate researchers can be found here: http://www.keele.ac.uk/pgresearch/
Research Context: This PhD project will connect with on-going collaborative research activities in areas of development and application of machine learning and artificial intelligence methods in the context of biomedical data analysis. The research will be supervised by Professor Peter Andras in the Centre for Computer Science Research at Keele University. The project may include collaboration with biomedical researchers at Keele University or other universities.
Informal enquiries about the project are very welcome by email to the Project Lead, Professor Peter Andras (email@example.com). Full applications should be submitted via: https://www.keele.ac.uk/study/postgraduateresearch/researchareas/computerscience/
Applications are welcomed from science, technology, engineering or mathematics graduates with (or anticipating) at least a 2.1 honours degree or equivalent. Applicants will require good general computing skills and general understanding of mathematics, but will not require in-depth understanding of machine learning.
Applicants should have an enthusiasm for analysis and development of algorithms and experimentation as well as a willingness to acquire new skills. Ideally, applicants will be self-motivated and have the ability to work both independently and as part of a team.
This opportunity is open to UK/EU and overseas students. The collaborative and presentation aspects of the research require good English language and communication skills. Overseas applicants would therefore require an English IELTS (or equivalent) of 6.0 overall with no less than 5.5 in any subtest.
Applicants should be self-motivated and enjoy working both independently and as part of a team.
Please go to https://www.keele.ac.uk/study/postgraduateresearch/apply/ for information about application.
Please quote FNS GS 2019-28 on your application.
Keele University values diversity, and is committed to ensuring equality of opportunity. In support of these commitments, Keele University particularly welcomes applications from women and from individuals of black and ethnic minority backgrounds for this post. The School of Computing and Mathemtics and Keele University have both been awarded Athena Swan awards and Keele University is a member of the Disability Confident scheme. More information is available on these web pages:
Please note that self-funded applicants must provide funding for both tuition fees and living expenses for the 3 year duration of the research. There is a future possibility of competitive scholarship awards for outstanding applicants (1st class honours), however, none are currently available.
For information regarding University tuition fees please see: View Website
Why not add a message here
Based on your current searches we recommend the following search filters.
Based on your current search criteria we thought you might be interested in these.
UKRI CDT Scholarship in Artificial Intelligence, Machine Learning and Advanced Computing: Understanding and optimising therapeutics for ovarian cancer through an AI and advanced computing twin