Organisation/Company: Swansea University
Department: Central Research
Field: Computer Science
Researcher Profile: First Stage Researcher (R1)
Positions: PhD Positions
Country: United Kingdom
Application Deadline: 13 Jan 2025 - 11:59 (Europe/London)
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 35
Offer Starting Date: 1 Apr 2025
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Funding provider(s):
EPSRC and Faculty of Science and Engineering Subject area(s):
Artificial Intelligence, Machine Learning, Deep Learning, Neuro-Symbolic Computing Project start date(s):
1 April 2025 or 1 July 2025 Aligned programme of study:
PhD in Computer Science Mode of study:
Full-time or Part-time PhD research is possible. The Artificial Intelligence computing for the discovery of the governing knowledge of real-world systems 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, contributing 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 candidate will have access to state-of-the-art research resources and 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. Minimum Requirements: Applicants for PhD MUST hold an undergraduate degree at 2.1 level 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). Applicants should have: A strong background in Artificial Intelligence, machine learning, and Knowledge Discovery computing. A research passion for Artificial Intelligence, Machine Learning, and Knowledge Discovery computing. Excellent analytical and problem-solving skills. Note:
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. Scholarship open to UK fee eligible applicants only.
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Funding provider(s):
EPSRC and Faculty of Science and Engineering Subject area(s):
Artificial Intelligence, Machine Learning, Deep Learning, Neuro-Symbolic Computing Project start date(s):
1 April 2025 or 1 July 2025 Aligned programme of study:
PhD in Computer Science Mode of study:
Full-time or Part-time PhD research is possible. The Artificial Intelligence computing for the discovery of the governing knowledge of real-world systems 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, contributing 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 candidate will have access to state-of-the-art research resources and 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. Minimum Requirements: Applicants for PhD MUST hold an undergraduate degree at 2.1 level 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). Applicants should have: A strong background in Artificial Intelligence, machine learning, and Knowledge Discovery computing. A research passion for Artificial Intelligence, Machine Learning, and Knowledge Discovery computing. Excellent analytical and problem-solving skills. Note:
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. Scholarship open to UK fee eligible applicants only.
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