International PhD scholarships for Energy Efficient Machine Learning Models 2022.
University of Liverpool is pleased to announce a joint international PhD scholarship to develop energy-efficient machine learning systems.
The university accepts applications for academics session of 2022.
International PhD Scholarships in Development of Energy Efficient Machine Learning Models 2022
- Deadline: 31st December 2022
- Host Country: UK ????????, Taiwan ????????
- Provider: The University Of Liverpool Or National Tsing Hua University
- Study Level: PhD, Postgraduate
- Funding Type: Partially Funded
The University of Liverpool and National Tsing Hua University are proud to launch The International PhD Scholarships in the Energy Efficient Machine Learning Models Development.
The university is currently accepting applications for the academic year 2022-2022.
This research project is part of a dual PhD program that is run by National Tsing Hua University (NTHU) located in Taiwan as well as Liverpool University.
University of Liverpool. Students will have access to large-scale national infrastructures of both countries to create an international network of connections over two continents.
The University of Liverpool and NTHU have agreed to reduce the tuition charges (worth PS25,000 ) per year for students from the UK as well as Taiwan.
The University of Liverpool is a public research university located within Liverpool, England. It provides more than 230 first-degree programs covering 103 disciplines.
National Tsing Hua University is an institution of research and education that is located situated in Hsinchu City, Taiwan, and is one of the six research universities in Taiwan.
It consistently ranks as one of the top three schools in Taiwan in the world’s rankings of universities.
There are 12 schools or colleges as well as 26 departments and 30 graduate institutes that are part of NTHU.
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International PhD Scholarships in Development of Energy Efficient Machine Learning Models Benefits
It is reported that the University of Liverpool and NTHU have agreed to eliminate tuition fees of PS25,000 for the year to international students enrolled in the program.
A stipend of TWD11 000 per month will be used to cover living expenses (the equivalent to PS280 monthly).
Further funding may be provided to the most qualified applicants.
International PhD Scholarships in Development of Energy Efficient Machine Learning Models Requirements
- Eligible Countries The eligibility criteria for all nationalities is for this Energy-efficient machines learning model development scholarship.
- The subject or course that is eligible for admission: PhD degree in energy-efficient machine learning models provided at the University.
- In order to be considered eligible applicants must meet all of the criteria listed below:
- The applicant must be an International.
- The applicant must be currently enrolled within the PhD degree program within the institution.
How To Apply
- Applications for admission must be made through using the University of Liverpool online application portalor the NTHU online application portal. The students are encouraged to contact Dr. Anh Nguyen (anh.nguyen@liverpool.ac.uk) and Dr. Chun-Yi Lee (cylee@cs.nthu.edu.tw) with the CV and research proposal. Use the subject NTHU UoL PhD application in any email.
- Supporting Documents: DNN models have been extensively utilized in many different application domains including computers with vision (CV) auto-driving vehicles and autonomous drones surveillance cameras, natural processing of languages (NLP) and more. In order to complete your online form, you’ll require:
- College or school transcriptsor certificates
- University transcripts
- Degree certificates
- Personal declaration
- Two references, signed and placed in a letterhead on paper (these must be academic references if you’ve been in full-time study for the past three years)
- Proposal for research (may be examined on plagiarism, collusion as well as any other irregularities).
- Admission Requirements: Applicants must hold a bachelor’s degree or a master’s degree in a relevant subject.
- Language Requirement: Students need to be conversant in English in both universities.
