International PhD Scholarships in Development of Energy Efficient Machine Learning Models, 2022

  •  PhD
  •  As soon as possible. The candidates will be evaluated on a rolling basis.
  •   United Kingdom
  • $$  £25,000 and stipend of TWD11,000/month

The University of Liverpool and National Tsing Hua University are pleased to announce the International PhD Scholarships in the Energy Efficient Machine Learning Models Development. The university is accepting applications for the academic year 2022-2023.

This project is a part of a 4-year dual PhD programme between National Tsing Hua University (NTHU) in Taiwan and the University of Liverpool. Students can draw on large-scale national facilities of both countries and create a worldwide network of contacts across two continents. Both the University of Liverpool and NTHU has agreed to waive the tuition fees (worth £25,000 per year for international students in UK or Taiwan.

  • Award
  • Application Process
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4.5

Summary

Great offer for students in UK or Taiwan.The University of Liverpool is a public research university based in Liverpool, England. It offers more than 230 first-degree courses across 103 subjects. It provides a truly unique educational experience for students, with learning and instruction occurring at the cutting edge of their respective fields.

Why choose to study at the University of Liverpool? The University of Liverpool is recognized in the top 1% of the universities worldwide for internationally recognized research. The university can assist students in specializing, changing career paths, transitioning to a new sector, or obtaining the necessary certifications for their chosen profession.

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University of Liverpool Information

University of Liverpool Grants

International PhD Scholarships in Development of Energy Efficient Machine Learning Models, 2022 Established in 1881, University of Liverpool is a non-profit public higher education institution located in the urban setting of the medium-sized city of Liverpool (population range of 500,000-1,000,000 inhabitants), North West England. Officially accredited and/or recognized by the Privy Council, University of Liverpool (UoL) is a large (uniRank enrollment range: 20,000-24,999 students) coeducational higher education institution. University of Liverpool (UoL) offers courses and programs leading to officially recognized higher education degrees such as 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 138 years old higher-education institution has a selective admission policy based on students' past academic record and grades. International applicants are eligible to apply for enrollment.

Eligibility Criteria

  • Eligible Countries: All nationalities.
  • Eligible Course or Subjects: PhD degree in energy-efficient machine learning models offered by the university.
  • Eligibility Criteria: To be eligible, the applicants must meet all the following criteria:
  • Applicants must be an International.
  • Applicants must be enrolled in the PhD degree programme at the university.
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Offered Benefits

The University of Liverpool and NTHU have agreed to waive tuition fees worth £25,000 per year for international students for the project. A TWD11 000/month stipend will contribute to living costs (the equivalent of £280 per month). Additional funding could be available for excellent candidates.

Application Process

  • How to Apply: Admission applications must be submitted via the University of Liverpool  online application portal or the NTHU  online application portal. The students are encouraged to contact Dr. Anh Nguyen ( ) and Dr. Chun-Yi Lee ( ) with the CV and research proposal. Please use the subject NTHU-UoL PhD Application in your email.
  • Supporting Documents: These DNN models have been widely employed in various application domains such as computer vision (CV), self-driving cars, autonomous drones, surveillance cameras, and natural language processing (NLP), and so on. To complete the online application, you’ll need:
  • School or college transcripts/ certificates
  • University transcripts
  • Degree certificates
  • Personal statement
  • Two references signed and on letter-headed paper (these should be academic references if you have been in full-time education in the last three years)
  • Research proposal (may be tested for plagiarism, collusion, and other irregularities).
  • Admission Requirements: The applicants must have a bachelor’s or master’s degree in relevant subjects.
  • Language Requirement: The students must have knowledge of conversational English at both universities.
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