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Queen Mary University of London PhD Studentship in Resource Management (Fully-funded)

Queen Mary University of London PhD Studentship in Resource Management: Queen Mary University of London invites applications for a full PhD Scholarship starting in January 2022 (or as soon as possible thereafter) to undertake research in the area of Resource Management for Edge/Serverless Computing.

The scholarship offers a 3-year fully funding for a PhD studentship supported by Queen Mary University of London including student fees and a tax-free stipend starting at £17,609 per annum available for applicants from any nationality.


Scholarship Sponsor(s):  Queen Mary University of London, UK

Scholarship Type:  Fully funded Scholarships

Host Institution(s): Queen Mary University of London, UK

Scholarship Worth:  Full Scholarship and stipend starting at £17,609 per annum

Number of Awards:  Several

Study Level:  Postgraduate (PhD)

NationalityDomestic & International Students


 

Also Apply:  Fully-funded University of Copenhagen PhD scholarship in Denmark 

Queen Mary University of London PhD Studentship in Resource Management | DETAILS

The applications is granted for a full PhD Scholarship starting in January 2022 (or as soon as possible thereafter) to undertake research in the area of Resource Management for Edge/Serverless Computing.

Eligibility and Selection Criteria

Interested applicants seeking for Fully-funded Queen Mary University of London PhD Studentship in Resource Management, candidates must meet the following requirements:

  • The award is available for applicants from all nationalities.
  • All applicants should have a first-class honour degree or equivalent, or a MSc degree, in Computer Science or Electronic Engineering (or a related discipline).
  • Applicants should have a good knowledge of English and ability to express themselves clearly in both written and spoken form.
  • The successful candidate must be strongly motivated to undertake doctoral studies, as well as must have demonstrated the ability to work independently and perform critical analysis.

Selection Criteria:

  • Experience in Cloud, Edge, Serverless Computing.
  • Good coding skills in Python, Matlab and/or Java.
  • Good knowledge of data science methods.
  • Understanding of Machine Learning and IoT.
  • Ability to work independently or as part of a team.
  • Experience and knowledge of machine learning techniques.
  • Experience in action and activity recognition.

 

You May Also Apply:  University of London LLM Scholarships 2021/2022 (Fully-Funded)


Application Procedures

  • How-to-Apply: To apply, please follow the online instructions specified by the college website for research degrees: http://www.eecs.qmul.ac.uk/phd/how-to-apply/. Steps 2 onwards are applicable in this case.
  • Application Documents: Please note that you will be required to provide a ‘Statement of Research Interests’. Your statement (no more than 500 words) should answer two questions:
    • Why are you interested in the topic described above?
    • What relevant experience do you have?
    • In addition to this, we would also like you to submit a sample of your written work. This might be a chapter of your final year or masters dissertation, or a published conference or journal paper.
  • In order to submit application, click on “PhD Full-time Computer Science – Semester 2 (January Start) on the official page.

Application Deadline:  September 15, 2021

Visit the Official Website for Further Details

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