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Scholarship PhD Scholarship in Financial Data Management with Knowledge Graphs and Machine Learning
Reference 22DF_AGB
Length of Scholarship Up to 36 months, subject to satisfactory progression
Places 1
Programme PhD Computer Science & Operations Research
Department or School Computer Science
Faculty Faculty of Science and Engineering
Entry 10 September 2022
Closing Date 15 May 2022 China Standard Time (CST)

 

The available PhD scholarship cover

  • Tuition fee
  • Monthly stipend
  • All above items are covered for up to 36 months based on satisfactory progression
  • All regulations set out in the UNNC PhD Scholarship Policy apply

In addition to the above scholarship, successful candidates also have the opportunity to carry out teaching (after the completion of Graduate Teaching Assistant (GTA) training) or research assistant duties at UNNC since second year of their PhD programmes.

 

Available PhD research areas

  • Image processing and Optical character recognition
  • Natural Language Processing
  • Credit Risk Modelling using Knowledge Graphs and Machine Learning

 

PhD programme structure

PhD programmes at the UNNC are composed of 3 years research and a 1 year thesis pending period for full time PhDs. Full time PhDs are expected to submit their theses within a maximum of four years from initial registration.

On successful completion of the PhD, the students will be awarded a PhD degree from University of Nottingham. No reference will be made on the degree certificate as to where the degree has been completed. The University of Nottingham PhD degree is accredited by the Chinese Ministry of Education and the UK Quality Assurance Agency.

 

Eligibility

Applicants must have a first class honours undergraduate degree or 65% and above for a Masters’ degree from a British university, or the equivalent from other institutions.

Applicants must meet the required English language proficiency for the relevant subject area. IELTS 6.5 (minimum 6.0 in all elements) or its equivalent is required for Faculty of Science and Engineering (FoSE) scholarship applicants.

Applicants are expected to be proficient with data analytics, econometrics, and/or behavioral experiment methods.

More details can be found on the 'entry requirements' page of the website.

 

 

How to apply

No separate application is required for applying for a scholarship but please make sure you quote the scholarship reference number in your PhD application form. List of required documents can be found on the 'how to apply' page.