Computing and Engineering Research PhD Scholarship at University of Surrey in UK

By: University of SurreyLast update:
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Applicant criteria

NationalityUnited Arab Emirates, Bahrain, Djibouti, Algeria, Egypt, Iraq, Jordan, Comoros, Kuwait, Lebanon, Libya, Morocco, Mauritania, Oman, Palestine, Qatar, Saudi Arabia, Sudan, Somalia, Syria, Tunisia, Yemen
SpecialityAll Specialties
Gender
  • Both

Opportunity criteria

Job locationUnited Kingdom
DegreePhd
Needed documentsCV, Cover Letter, Transcript of Records, Degree Certificate, Research Proposal, Sample of your work, Recommendation Letter, others

Opportunity description

University of Surrey is offering a Computing and Engineering Research PhD Scholarship. This PhD position will focus on developing foundational machine learning techniques on the topic of Bayesian deep learning and high-dimensional statistical inference, motivated by applications that aim to improve human life and environment.  A Bachelor’s degree in computer science, engineering, statistics, mathematics, physics or similar. This studentship is available to UK, EU and overseas students. Stipend: £16,000 per annum.

Duration:

3 years

Funding:

Stipend: £16,000 per annum.

Eligibility criteria:

  • A Bachelor’s degree in computer science, engineering, statistics, mathematics, physics or similar.
  • This studentship is available to UK, EU and overseas students.
  • IELTS Academic: 6.5 or above (or equivalent) with 6.0 in each individual category.

Required Documents:

  • Your CV
  • Degree certificates and transcripts
  • Names of two referees 
  • Cover letter explaining your interests
  • Research proposal
  • Examples of previous project work

About The University of Surrey:

The University of Surrey was established in September 1966 in the United Kingdom and is today a global community of ideas and people dedicated to life-changing education and research. With a vibrant campus, the university provides exceptional teaching and practical learning to inspire and empower students for personal and professional success.

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