Postgrad LIVE! Study Fairs

Birmingham | Edinburgh | Liverpool | Sheffield | Southampton | Bristol

University of East Anglia Featured PhD Programmes
University of Kent Featured PhD Programmes
University of Glasgow Featured PhD Programmes
Imperial College London Featured PhD Programmes
University College London Featured PhD Programmes

Advanced machine learning and big data techniques and their applications to renewable energy

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Awaiting Funding Decision/Possible External Funding
    Awaiting Funding Decision/Possible External Funding

Project Description

The project mainly focuses on high performance machine learning and big data algorithms development and their applications to addressing practical problems. State-of-art machine learning and statistical methods will be investigated and compared in terms of their performance. Further, new machine learning methods will be developed to provide better solutions than the currently available methods in terms of speed and performance. Finally, these state-of-art methods will be applied to addressing the challenges in renewable energy industry, e.g. wind turbine health monitoring.

Funding Notes

The candidate is expected with 1st Honours degree in electrical engineering, maths or computer science or related subjects. We are looking for self-motivated students with excellent communication skills, and abilities to carry out world leading research. The successful student can start in January, April, July and September. Funding may be available to UK/EU students.

References

Interested applicants should apply by submitting a cover letter, together with a CV to Dr Long Zhang ([email protected])
Further formal application should include
• Degree certificates
• Official academic transcripts
• English language certification, eg. IELTS or TOEFL, if applicable
• Two referee report forms
• Research proposal.
For more details, please refer to
http://www.eee.manchester.ac.uk/study/postgraduate-research/howtoapply/

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully





FindAPhD. Copyright 2005-2018
All rights reserved.