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10 May 2017

School of Computing and Creative Technology Fully Funded PhD Studentships,UK-2017

School of Computing and Creative Technology Fully Funded PhD Studentships,UK-2017

Leeds Beckett University is offering three fully funded PhD Studentships within the School of Computing, Creative Technologies and Engineering. UK/EU and Overseas students are eligible to apply for this studentship. Leeds Beckett University is a public university in Leeds, West Yorkshire, with campuses in the city centre and Headingley. The university’s origins can be traced to 1824, with the foundation of the Leeds Mechanics Institute.

Application Deadline: 18 June 2017

 

Programmes Offered:

  • Studentships are awarded within the School of Computing, Creative Technologies and Engineering

 

Course Level:

Studentships are available for PhD programme

 

Eligibility:

The following criteria must be met in order for applicants to be eligible for scholarship:

  1. Machine Learning based activity classification and behavior understanding using wearable sensors (in collaboration with More Life)

You should have:

  • A good first degree in computer science, software engineering, computer engineering or other numerate discipline e.g. electronic engineering with a significant computer programming content or MSc in computer science / artificial intelligence.
  • Good scientific programming skills (C++, C#, Python, …).
  • Some familiarity with Artificial Intelligence specifically machine learning techniques, computational modelling techniques…
  1. Machine Learning based activity classification and prediction of obesity related risk (in collaboration with More Life)

You should have:

  • A good first degree in computer science, software engineering, computer engineering or other numerate discipline e.g. electronic engineering with a significant computer programming content or MSc in computer science / artificial intelligence.
  • Good scientific programming skills (e.g. C++, Python and/or Matlab).
  • Some familiarity with Artificial Intelligence and Data Mining, especially machine learning techniques.
  • Positive attitude towards working as part of a collaborative research project.
  1. Computational intelligence-based optimisation of drones positions and movements for disaster management applications

You should have:

  • A good first degree in computer science, software engineering, computer engineering or other numerate discipline e.g. electronic engineering with a significant computer programming content or MSc in computer science / artificial intelligence.
  • Good scientific programming skills (e.g. Python, Matlab or C++).
  • Familiarity with Artificial Intelligence especially evolutionary algorithms and/or machine learning.
  • Some familiarity with network simulation and/or ad hoc networks.
  • Positive attitude towards working as part of a collaborative research project.

 

Benefit:

The awards cover the standard UK stipend (£14,553 in 2017/18; pro-rata into 12 monthly payments and exempt from UK Income Tax and National Insurance) and tuition fees (EU/UK fees only).

 

Number of Awards:

Not mentioned

 

Application Procedure:

Application process:

  • Applications should be submitted in writing to one of the research projects listed.
  • Applicants should complete the research student application form and provide a research proposal using the criteria below as a guide.
  • The research proposal can be up to four A4 pages in length (with references as an addition to the four-page proposal) using type Arial 12 point.
  • Applicants should include the research project title.
  • Applicants should use the following ‘Computing Studentships’ as the subject in the email subject line when submitting their applications.

 

Further Details:

Please Click Here to visit the Official website of University.

 

Last modified on Wednesday, 10 May 2017 01:46

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