PHDUncategorized

Swansea University UK PhD Scholarship in AI 2025 (Fully Funded)

Swansea University UK PhD Scholarship in AI is offering a fully funded PhD scholarship in Artificial Intelligence (AI) for the academic year 2025. This prestigious opportunity is open to both international and domestic students with a keen interest in advancing the field of AI. The application deadline is 13 January 2025.

For Latest Scholarship Opportunities, Join Whatsapp and Telegram

Join WhatsApp Join Telegram

DETAILS FOR Swansea University UK PhD Scholarship in AI

  • Fully Funded
  • Swansea University
  • PhD
  • Artificial Intelligence, Machine Learning, Deep Learning, Neuro-Symbolic
  • International Students, Domestic Students
  • UK
  • 01/13/2025

Degree Level

The Swansea University UK PhD Scholarship in AI 2025 is available for students pursuing a PhD program at Swansea University.

Fields of Stud

This scholarship supports advanced research in the following areas:

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Neuro-Symbolic Computing

Scholarship Benefits

The PhD scholarship offers comprehensive financial and academic support, including:

  • Full Tuition Fees: Covered for UK fee-eligible students.
  • Annual Stipend: £19,237 to support living expenses.
  • Research Expenses: Up to £1,000 for research-related costs.

Why Apply for Swansea University UK PhD Scholarship in AI?

  • Research Excellence: Conduct groundbreaking research under the mentorship of esteemed faculty members like Dr. Xiaochun Cheng and Professor Xianghua Xie, who are leaders in Explainable AI Computing.
  • Advanced Facilities: Access state-of-the-art resources and training at Swansea University’s world-class research centers.
  • Professional Growth: Participate in conferences, workshops, and collaborative events to enhance academic and industry prospects.
  • Interdisciplinary Collaboration: Work with diverse teams, fostering innovative research experiences and expanding professional networks.

Eligible Nationalities

The scholarship is open to students of all nationalities, including domestic and international applicants.

Eligibility Criteria

Applicants must meet the following requirements:

  1. Academic Background:
    • Hold a 2:1 undergraduate degree in Computer Science, Mathematics, or a related discipline.
    • Alternatively, a Master’s degree with Merit is also acceptable.
  2. Technical Expertise:
    • Strong foundational knowledge in Artificial Intelligence, Machine Learning, and Knowledge Discovery Computing.
  1. Skills:
    • Demonstrated proficiency in analytical thinking, problem-solving, and academic writing.
  2. English Language Proficiency (if applicable):
    • IELTS score of 6.5, with no component below 6.0, or an equivalent qualification.
  3. Qualification Equivalency:
    • Non-UK qualifications must meet Swansea University’s equivalency standards.

Application Procedure

Required Documents

Applicants must submit the following:

  • Academic Transcripts: Copies of all relevant academic records.
  • Research Proposal: A detailed proposal aligned with the scholarship’s focus on Explainable AI Computing.
  • Proof of English Proficiency: For non-native speakers, valid IELTS or equivalent test scores.

How to Apply

  • Visit Swansea University’s official website.
  • Search for the scholarship reference RS718 to find the application portal.
  • Submit the completed application along with all required documents before 13 January 2025.

=Conclusion

The Swansea University UK PhD Scholarship in AI 2025 is a unique opportunity for aspiring researchers to contribute to cutting-edge developments in AI and knowledge discovery. With full financial support and access to a vibrant academic environment, this program equips students with the skills and resources to shape the future of AI.

Don’t miss this chance to make an impact. Click “Apply Now” to begin your application journey!

Swansea University UK PhD Scholarship in AI Check Apply Link

APPLY LINK

Leave a Reply

Your email address will not be published. Required fields are marked *