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Deadline: 7 October 2024
Wales
Closing date: 7 October 2024
Funding provider(s): EPSRC and Faculty of Science and Engineering
Subject area(s): Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, Neuro-Symbolic Computing
Project start date(s): 1 January 2025, 1 April 2025 or 1 July 2025
Supervisors: Dr Xiaochun Cheng, Professor Xianghua Xie
Aligned programme of study: PhD in Computer Science
Mode of study: Full or part-time study is possible.
Project description: The discovery of the governing mathematical modelling of real world system is important. The proposed research aims to integrate symbolic computing with machine learning models. This project develops AI knowledge discovery computing for mathematical modelling application. This project contributes to cutting-edge research in the field of AI knowledge discovery computing.
This PhD studentship offers a unique opportunity to delve into the world of Machine Learning, Mathematical Modelling, and Knowledge Discovery. The successful candidate will work on this innovative project that bridges the gap between data-driven insights and mathematical modelling, advancing the frontiers of this exciting field. This project could lead to AI computing breakthroughs that impact data intensive applications.
The PhD candidate will work with a dynamic team of researchers, led by experts in AI. The PhD candidate will have access to state-of-the-art research resources and research training.
This project fosters collaborations. The PhD candidate will have the opportunity to work with different experts, enhancing the research experience.
Our PhD program is committed to fostering the professional growth of our students. The PhD candidate will attend workshops, conferences, and networking events to build transferable skills and career prospects.
For more details please see here: https://www.swansea.ac.uk/postgraduate/scholarships/research/computer-science-phd-mathematical-modelling-rs677.php
Additional eligibility criteria:
Please note that you may need to provide evidence of your English Language proficiency.
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.
If you have any questions regarding your academic or fee eligibility based on the above, please email pgrscholarships@swansea.ac.uk with the web-link to the scholarship(s) you are interested in.
This scholarship covers the full cost of tuition fees and an annual stipend at £19,237.
Additional research expenses of up to £1,000 will also be available.
To apply, please complete your application online with the following information:
In 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 pgrscholarships@swansea.ac.uk where staff will be happy to assist you in submitting your application.
*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.
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 e-mail). We strongly advise you to provide the listed supporting documents by the advertised application closing date. Please note that your application may not be considered without the documents listed:
Informal enquiries are welcome; please contact Dr Xiaochun Cheng (Xiaochun.cheng@swansea.ac.uk / + 44 01792 518688).
*External Partner Application Data Sharing – Please note 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.
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.
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