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.
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( votes)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
- University or Organization: Swansea University’s Faculty of Science and Engineering and No More Marking Ltd
- Department: Computer Science
- Course Level: PhD
- Award: Full tuition fees coverage and an annual stipend of £19,237
- Access Mode: Online
- Number of Awards: NA
- Nationality: Open to all nationalities
- The award can be taken in the UK
Eligibility
- 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.
How to Apply
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 ([email protected]).
