Deadline:

28 February 2019

Location:

UK     

(Partially Funded)

Description

PhD studentship in Microgrid or Machine Learning

this PhD studentship is funded in support of a recently awarded EPSRC grant in Data-driven Intelligent Energy Management System for a Micro Grid.

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This project aims to develop an intelligent energy management system for a grid- connected microgrid (consisting of distributed renewable energy sources, energy storages and local loads), this will maximise energy usage efficiency and make renewable generation more cost effective whilst minimising environmental impact and provide ancillary services

This project has eight project partners including National Grid UK. The PhD student is expected to collaborate with two postdocs working in this project as well as other researchers in the project supervisor’s team.

Opportunity Focus Areas:

  • Microgrid or Machine Learning

Required Languages

English.

Eligible Countries

ALL WORLD COUNTRIES.

Program Period

3 years

Eligibility Requirements (Criteria)

  • Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree (and preferably a Masters degree) or equivalent from an overseas institution

 

Opportunity Cost

(Partially Funded)

  • The scholarship will pay an annual stipend at the standard rate currently £14777, this will increase each year) and covers 100% tuition fees at the UK/EU rate for 3 years. International students are welcome to apply but need meet the difference in costs (talking with Prof. Zhao for options).

How to Apply

First Step: 

-Email a full CV

– academic transcripts,

-cover letter

-explaining your interest in pursuing a PhD in this area toXiaowei.zhao@warwick.ac.uk

-with ‘PhD Application’ in the subject line.

Second Step: if you are successful at the interview you will be required to submit a formal application for study and fulfil the entry requirements set by the University of Warwick.

As soon as you have a University ID number you will be invited to upload your degree certificate, transcripts, and a personal statement that explains your specific research interests and why you should be considered for this award.

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More Details

Know more about this opportunity:

Official Website

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To learn how to write CV, Essays, Personal statement,  and know about recommendation letters click here:

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This Scholarship Published by:
radwa shorbnay/ egypt 

Reviewed by” Eya Hachouch/ tunisia 
MARJ3 Intern
MARJ3 Scholarships team