The University of Liverpool is pleased to announce its PhD International Studentships in Discovery of Solid State Electrolytes. If you wish to work closely with computer scientists, inorganic chemists, physicists, and material scientists then apply for this academic year 2022-2023.
Accessible to students worldwide, this studentship is entitled to cover the full tuition fee of the applied programme by the selected candidates at the University of Liverpool and a stipend at UKRI rate, i.e. now £15,609. Students must have a 2:1 or higher master’s degree or equivalent in a relevant field, experience developing machine learning models, and experience developing machine learning models to prove to be eligible for this scholarship.
The University of Liverpool is a public research university based in Liverpool, England. It was founded in 1881 as a college and now ranks 155th in Best Global Universities. It strives to enhance the quality and impact of scholarship, celebrating success for the university and its students.
Host Institutions:
University of Liverpool, United Kingdom
Degree Level:
PhD Degree
Department:
Students can undertake a PhD programme in chemical sciences at the University of Liverpool.
Number of Scholarships:
Not Given
Target Group:
Students from worldwide, UK nationals, and other foreign countries can apply
Application Deadline:
December 23, 2022 is the last date to submit applications for this scholarship.
Scholarship Value/Duration:
The University of Liverpool will provide the selected PhD candidates total tuition fees and a maintenance grant at the UKRI rate, currently £15,609.00 per annum for 2021-22, for 3.5 years.
Eligible Criteria for the University of Liverpool PhD International Studentships in Discovery of Solid State Electrolytes 2022-2023
To be eligible, the applicants must meet all the following/given criteria:
- The applicants must have strong math and programming skills.
- The applicants must have a 2:1 or higher master’s degree or equivalent in Computer Science, Chemistry, Physics, or Materials Science, particularly those with some skills directly relevant to the project.
- The students must submit scores of the following English language proficiency tests:
- IELTS – 88
- C1 Advanced CAE – 176
- TOEFL IBT – 88.
Application Instructions
- How to Apply: Applicants are required to make their admission applications on the university’s application portal. Applicants interested in applying for the studentship must ensure that they quote the following reference on their application – ‘Reference CCPR035 Discovery of solid-state electrolytes using Deep Learning.’
- Supporting Documents: The students are required to present the following documents to the university:
- School or college transcripts/ certificates
- University transcripts
- Degree certificates
- Personal statement
- Two references signed and on letter headed paper
- Research proposal