Closing date: 7 October 2024

Key Information

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 studyFull 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.

Eligibility

Candidates must hold a UK Bachelor degree with a minimum of Upper Second Class honours in Computer Science, Mathematics or a closely related discipline or overseas Bachelor degree deemed equivalent to UK Bachelor (by UK ECCTIS) and achieved a grade equivalent to UK Upper Second Class honours in Computer Science, Mathematics or a closely related discipline;
 
Or an appropriate master’s degree with a minimum overall grade at ‘Merit’ (or Non-UK equivalent as defined by Swansea University)  – see country specific qualifications.
 

Additional eligibility criteria: 

  • A background in computer science, AI and/or machine learning
  • Passion for Machine Learning, Mathematical Modelling and Knowledge Discovery
  • Excellent analytical and problem-solving skills

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 byUKCISA 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.

Funding

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.

How to Apply

To apply, please complete your application online with the following information:

  1. Course choice – please select as per preferred start date and mode of study, either -  
    *For January 2025:
    (Full Time) Computer Science/ PhD / Full-time / 3 Years / January
    OR
    (Part Time) Computer Science/ PhD / Part-time / 6 Years / January
    OR
    *For April 2025:
    (Full Time) Computer Science/ PhD / Full-time / 3 Years / April
    OR
    (Part Time) Computer Science/ PhD / Part-time / 6 Years / April
    OR
    *For July 2025:
    (Full Time) Computer Science/ PhD / Full-time / 3 Years / July
    OR
    (Part Time) Computer Science/ PhD / Part-time / 6 Years / July

    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.

  2. Start year – please select 2025
  3. Funding (page 8) –
  • ‘Are you funding your studies yourself?’ – please select No
  • ‘Name of Individual or organisation providing funds for study’ – please enter 'RS677 - Mathematical Modelling'.

*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.

NOTE: Applicants for PhD/EngD/ProfD/EdD - to support our commitment to providing an environment free of discrimination and celebrating diversity at Swansea University you are required to complete an Equality, Diversity and Inclusion (EDI) Monitoring Form in addition to your programme application form.  Please click the following link to complete your EDI Monitoring Form:
 
 
Please note that completion of the EDI Monitoring Form is mandatory; your application may not progress if this information is not submitted.

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:

  • 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)
  • Confirmation of EDI form submission

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.