Published: 29 Nov 2024
The Artificial Intelligence computing for the discovery of the governing knowledge of real world system is important. The proposed research aims to integrate symbolic computing with machine learning models. This project develops Explainable Artificial Intelligence Computing for the knowledge discovery application. This project contributes to cutting-edge research in the field of Artificial Intelligence knowledge discovery computing.
This PhD studentship offers a unique opportunity to delve into the world of Machine Learning and Knowledge Discovery. The successful candidate will work on this innovative project advancing the frontiers of this exciting field. This project could lead to Artificial Intelligence computing breakthroughs that impact data intensive applications.
The PhD candidate will work with a dynamic team of researchers, led by experts in Artificial Intelligence. 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.
Application Deadline | January 13, 2025 |
Funding Type | Fully Funded |
Country to study | United Kingdom |
School to study | Swansea University |
Type | Ph.D |
Course to study | View courses |
Sponsor | Swansea University |
Gender | Men and Women |
Additional research expenses of £1,000 will also be available.
Eligibility
Applicants should have:
English Language
IELTS 6.5 Overall (with no individual component below 6.0) or Swansea University recognised equivalent. Full details of our English Language policy, including certificate time validity, can be found here.
As well as academic qualifications, Admissions decisions may be based on other factors, including (but not limited to): the standard of the research synopsis/proposal, performance at interview, intensity of competition for limited places, and relevant professional experience.
For more details,visit Swansea University scholarship webpage