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PhD Studentship: AI-Driven fault diagnosis for wind turbine generators – University of East Anglia
U

University of East Anglia

Part-Time 25 days left

PhD Studentship: AI-Driven fault diagnosis for wind turbine generators

The University of East Anglia in Norwich offers a PhD Studentship focused on AI-driven fault diagnosis for wind turbine generators. Applications close on 30 November 2026. This research project aims to improve reliabilit...

Posted
Updated
Last date
30 Nov 2026
25 days left
Location
United Kingdom
Job type
Part-Time

Overview

The University of East Anglia in Norwich offers a PhD Studentship focused on AI-driven fault diagnosis for wind turbine generators. Applications close on 30 November 2026. This research project aims to improve reliability in wind power systems, especially offshore installations, which are vital for the UK's electricity supply and net-zero targets. The program allows for both full-time and part-time study modes, starting on 1 February 2027.

About this role

This PhD project addresses the critical need for improved fault diagnosis in wind turbine drivetrains, which are a significant source of failures and maintenance costs. The research will integrate analytical methods with AI-driven data analysis to enhance fault detection and classification accuracy, using computer simulations and experimental validation.

Candidates will engage in analytical studies, finite element analysis, and experimental development, contributing to advancements in condition monitoring systems. The project aims to develop innovative solutions that can effectively detect and classify faults in real-time, addressing current limitations in existing systems.

About this job

University of East Anglia is looking for candidates for PhD Studentship: AI-Driven fault diagnosis for wind turbine generators. It is a part-time position.

Job summary

Organization
University of East Anglia
Job type
Part-Time
Location
United Kingdom
Country
United Kingdom
How to apply
Online
Last date
30 November 2026

About the advertisement

Advertisement date:
5 Nov 2026

This advertisement does not say whether the employer sponsors a work visa or which nationalities may apply. Check that you have the right to work in United Kingdom before applying.

Eligibility for PhD Studentship: AI-Driven fault diagnosis for wind turbine generators

  • Place of posting: Norwich

Requirements

  • Minimum 2:1 degree in Electrical and Electronics Engineering, Mechanical Engineering, or Physics
  • Interest in AI and data analysis
  • Strong analytical and problem-solving skills

Important dates

  1. Advertisement published

  2. Last date to apply

Before you apply

  • Apply before 30 November 2026.
  • Apply only through the official link on this page. CareersOz never charges a fee for applying.

How to apply for PhD Studentship: AI-Driven fault diagnosis for wind turbine generators

Mode:
Online
Last date:
30 Nov 2026
  1. Visit the official application page at https://www.uea.ac.uk/apply/postgraduate/research
  2. Submit your application before the deadline of 30 November 2026

Official application link: https://www.uea.ac.uk/apply/postgraduate/research
Last date to apply: 30 November 2026

Important information

  • This is a self-funded project open to students worldwide

Opens the official application page (www.uea.ac.uk). CareersOz never asks for a fee.

University of East Anglia - EMP

Qualification Type:PhD
Location:Norwich
Funding for:Self-funded Students
Funding amount:Not Specified
Hours:Full Time, Part Time

University of East Anglia - EMP

Placed On:5th November 2026
Closes:30th November 2026
Reference:ABDIJALEBIS _U27EMPSFP1F

اردو میں تفصیلات

ادارہ
University of East Anglia
مقام
Norwich
درخواست کا طریقہ
آن لائن
اشتہار کی تاریخ
5 نومبر 2026
آخری تاریخ
30 نومبر 2026

The Urdu summary is prepared by CareersOz from the advertisement. If anything differs, the official advertisement is correct.

After you apply

  • Keep a copy of your application and any courier or tracking receipt until the recruitment is finished.
  • Watch the employer's website and your phone. Test and interview calls are usually sent by SMS, call letter or a published list of candidates.
  • Apply before 30 November 2026. Applications sent after the last date are not accepted, and online forms often slow down on the final day.
  • This page is updated when the last date or a test date changes. Save the job or set a reminder so you do not miss a change.
  • Nobody can guarantee selection. Genuine employers do not ask for money beyond the official application fee; report anyone who asks you to pay for a job.

Questions about PhD Studentship: AI-Driven fault diagnosis for wind turbine generators

What is the last date to apply for the PhD Studentship? +

The last date to apply is 30 November 2026.

Who can apply for the PhD Studentship? +

Students with a minimum 2:1 degree in Electrical and Electronics Engineering, Mechanical Engineering, or Physics can apply.

How do I apply for the PhD Studentship? +

Visit the official application page at https://www.uea.ac.uk/apply/postgraduate/research to submit your application.

What is the last date to apply for University of East Anglia jobs? +

The last date to apply is 30 November 2026.

Where are these jobs located? +

The posts are in Norwich.

Is this a permanent or contract job? +

The posts are advertised as part-time.

How can I apply? +

Apply through the official link: https://www.uea.ac.uk/apply/postgraduate/research before 30 November 2026.

Source and verification

Official website
www.uea.ac.uk
Advertisement
Original advertisement unavailable. Check the official website.
Application
Official portal · www.uea.ac.uk
Found via
jobs.ac.uk (UK universities)
Published on CareersOz
5 Nov 2026
Last updated
5 Nov 2026

How we check listings: sources, fact-checking and corrections.

Updated 05 Nov 2026

Official source: www.uea.ac.uk

Source: jobs.ac.uk (UK universities). This information has been independently formatted by CareersOz. View original source

CareersOz is not affiliated with this organisation. Always confirm details on the official website before applying.

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