£16.5K PhD Studentship For International Students At Queen Mary University Of London In UK, 2019

UK

Applications are currently ongoing at the Queen Mary University of London at the School of Electronic Engineering and Computer Science for a PhD Studentship in When Machine Learning Meets Big Data in Wireless Communications. The £16.5K PhD Studentship For International Students aims to use social media data to predict the requirements of mobile users for improving the performance of wireless networks. See below for more information.

Scholarship Type:

Studentship is available to study PhD programme.

Field Of study:

Studentship is awarded in When Machine Learning Meets Big Data in Wireless Communications.

Scholarship Benefits:

The studentship offers a 3-years fully funded PhD studentship, with a bursary ~£16.5K/year and a fee waiver (including non-EU students), supported by the School of Electronic Engineering and Computer Science of the Queen Mary University of London, UK.

Host Country Of Scholarship:

United Kingdom.

Country Eligible For The Scholarship:

Students from all nationalities are welcome to apply.

Eligibility For The £16.5K PhD Studentship For International Students:

You may be eligible if you meet the following:

  • Applicants must hold a masters degree at first /distinction level in Computer Science or Electronic Engineering (or a related discipline).
  • Applicants should have a good knowledge of English (both written and oral).
  • The successful applicants must be strongly motivated for doctoral studies
  • Must have demonstrated the ability to work independently and to perform critical analysis.

Applicants must possess fundamental knowledge and skills in two or more of the following areas:

  • Excellent background in communication theory and signal processing algorithms. Good knowledge of emerging 5G and IoT techniques, such as NOMA, wireless caching and mobile computing, UAV, V2X, etc.
  • Prior experience/education in both theory and practice of machine learning.
  • Hands on experience using one of the following deep learning libraries: Tensorflow, PyTorch, Theano or similar.
  • Good coding skills. (Python and C++ are considered a plus).

How To Apply For The Scholarship:

To apply, applicants should follow the on-line instructions at the college web-site for research degree applicants. At the page, select ‘Electronic Engineering in the list “FIND”’ and follow the instructions on the right-hand side of the web page.

Please note: Instead of the ‘Research Proposal’ we request a ‘Statement of Research Interests’. Your statement (no more than 500 words) should answer two questions:

  •  Your interested in the topic described above?
  •  What relevant experience do you have?

Please attach:

  •  CV
  • A transcript of records
  • The title/s of your MSc dissertation/s.
  • A sample of your written work, e.g., a chapter of your final year dissertation, or a published paper.

Click here.

Application Closing Date:

September 18, 2018

For more scholarship opportunities to study abroad click here: http://afrischolarships.com/category/scholarships/


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