Do you want to work closely with computer scientists, inorganic chemists, physicists, and material scientists? The University of Liverpool has the perfect opportunity for you! It has decided to award deserving students the PhD Studentships in Discovery of Solid-State Electrolytes using Deep Learning for the academic year 2022-2023.

Open to students worldwide, this University of Liverpool PhD International Studentship is entitled to cover the full tuition fee of the applied programme by the selected candidates 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 PhD International Studentship 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 Countries: Students from worldwide, UK nationals, and other foreign countries can apply for this University of Liverpool PhD International Studentship.
• Eligible Course or Subjects: Students can undertake a PhD programme in chemical sciences at the University of Liverpool.
• Eligibility Criteria: To be eligible, the applicants must meet all the following/given criteria:
• The applicants must have strong math and programming skills.

• How to Apply: Students can make their admission applications on the university’s application portal. Students 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
• Admission Requirements: 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.
• Language Requirement: The students must submit scores of the following English language proficiency tests:
• IELTS – 88
• C1 Advanced CAE – 176
• TOEFL IBT – 88