Computer Science Fully Funded PhD Scholarship in Elevating Comparative Judgement Using a Large-Scale Human-In-The-Loop Bayesian Active Learning Approach, UK

  •  PhD
  •  01-May-2024
  •   United Kingdom
  • $$  Full tuition fees coverage and an annual stipend of £19,237

Swansea University’s Faculty of Science and Engineering is offering Computer Science Fully Funded PhD Scholarship in Elevating Comparative Judgement Using a Large-Scale Human-In-The-Loop Bayesian Active Learning.

Candidates interested in applying for the Elevating Comparative Judgement Using a Large-Scale Human-In-The-Loop Bayesian Active Learning Approach (ECSTATIC) scholarship at Swansea University must meet specific eligibility criteria. Applicants should hold an Upper Second Class (2.1) honours degree or an appropriate master’s degree with a minimum overall grade at ‘Merit’ in Computer Science, Mathematics, or a closely related discipline. Desirable attributes include excellent numerical and programming skills, proficiency in Python, and familiarity with Bayesian statistics, machine learning, and optimization concepts, or a willingness to acquire such knowledge. Sending

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Swansea University stands as a beacon of academic excellence, nestled in the scenic coastal city of Swansea, Wales. Renowned for its cutting-edge research, innovative teaching methods, and vibrant student community, Swansea University offers a diverse range of undergraduate, postgraduate, and research programs across various disciplines. With state-of-the-art facilities, world-class faculty, and a commitment to fostering inclusivity and diversity, Swansea University provides an enriching learning environment where students can thrive and excel in their academic pursuits.

Application Deadline: 1 May 2024

Brief Description

Swansea University stands as a beacon of academic excellence, nestled in the scenic coastal city of Swansea, Wales. Renowned for its cutting-edge research, innovative teaching methods, and vibrant student community, Swansea University offers a diverse range of undergraduate, postgraduate, and research programs across various disciplines. With state-of-the-art facilities, world-class faculty, and a commitment to fostering inclusivity and diversity, Swansea University provides an enriching learning environment where students can thrive and excel in their academic pursuits.

Swansea University Information

Swansea University Grants

Computer Science Fully Funded PhD Scholarship in Elevating Comparative Judgement Using a Large-Scale Human-In-The-Loop Bayesian Active Learning Approach, UK 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.

Eligibility Criteria

  • Eligible Countries: Open to candidates of any nationality
  • Acceptable Course or Subjects: The scholarship will be awarded in any subject offered by Swansea University
  • Admissible Criteria: Applicants must hold an Upper Second Class (2.1) honours degree or an appropriate master’s degree with a minimum overall grade at ‘Merit’ in Computer Science, Mathematics, or a closely related discipline. Desirable skills include excellent numerical and programming skills, knowledge of Python, Bayesian statistics, machine learning, and optimization, or a willingness to learn.

Application Process

To apply, candidates must complete the online application with the required information, including selecting “Computer Science / PhD / Full-time / 3 Year / October” as the course choice and indicating “RS590 – Elevating Comparative Judgement” as the funding source. Additionally, applicants must upload supporting documents such as CV, degree certificates, transcripts, cover letter with a ‘Supplementary Personal Statement’, two references, evidence of meeting English Language requirement (if applicable), and any relevant visa documents.

For further details and application inquiries, please contact Dr. Alma Rahat ( ).

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