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.
Established in 1920, Swansea University is a non-profit public higher education institution located in the suburban setting of the large town of Swansea (population range of 50,000-249,999 inhabitants), Wales. Officially accredited and/or recognized by the Privy Council, Swansea University is a large (uniRank enrollment range: 15,000-19,999 students) coeducational higher education institution. Swansea University offers courses and programs leading to officially recognized higher education degrees such as pre-bachelor degrees (i.e. certificates, diplomas, associate or foundation degrees), bachelor degrees, master degrees, doctorate degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. This 99 years old higher-education institution has a selective admission policy based on entrance examinations and students' past academic record and grades. International applicants are eligible to apply for enrollment.