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India's Largest Study Abroad Funding Expo (SAFE) 2025


  • Exclusive seminar on applying to 26000+ Scholarships
  • Instant Education Loan Pre-approval letter with India's Lowest Interest Rate
Register now- Limited slots

Only left

Predicting EV behaviour in Future Electricity Systems

Eligible Degrees:

PhD

Funding Type:

Full Funding, full tuition fees + stipend

Deadline:

10 Apr, 2025

Eligible Courses:

Chemical, Materials and Biological Engineering

Eligible Nationalities:

Open to citizens of UK

Scholarship can be taken at:

  • University of Sheffield
  • Updated on: 12 Mar, 2025

     

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    Details about Predicting EV behaviour in Future Electricity Systems

    Predicting EV behaviour in Future Electricity Systems is offered for PhD degree in the field of Chemical, Materials and Biological Engineering. You can apply to this scholarship here. The deadline for the sending your application is 10 Apr, 2025. This scholarship is provided by University of Sheffield and the value of this scholarship is Full Funding, full tuition fees + stipend . This scholarship is open for: Open to citizens of UK.

    • Deadline: 10 Apr, 2025
    • Scholarship value: Full Funding, full tuition fees + stipend

    Eligibility:

    • The PhD Research Project on "Predicting EV Behaviour in Future Electricity Systems" is open to UK students with a strong academic background in engineering, physics, mathematics, or similar fields.
    • Applicants must hold a good first degree and possess strong mathematical skills. If English is not your first language, you must have an IELTS score of 6.5 overall, with at least 6.0 in each component, or an equivalent qualification.

    Application Process:

    • Applications are accepted year-round.
    • Interested candidates must visit the application page, include the name of their proposed supervisor, and specify the project title. 

    Value/Benefit:

    • This fully funded PhD studentship covers Home tuition fees and offers a stipend at the UKRI rate for 3.5 years.
    Source : University of Sheffield
    Disclaimer: All Content, Logo and Company names are registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

    FAQs

    1. Can I get an education loan to study abroad at University of Sheffield

      Yes, you can secure an education loan to study abroad at University of Sheffield. Education loans are of two types- Collateral and non collateral. Collateral includes either: Immovable property – a house or a flat or land (or) liquid security – an FD, or LIC or shares or bonds. Agricultural lands are not accepted by any bank for education loan.

      Public banks like SBI, BOB offer these types of education loans. There are many NBFCs who offer Non-collateral education loans. Apply for the best education loan to study abroad.

    2. When is the deadline of Predicting EV behaviour in Future Electricity Systems?

      The deadline of Predicting EV behaviour in Future Electricity Systems is 10 Apr, 2025

    3. For which degree is Predicting EV behaviour in Future Electricity Systems offered for?

      Predicting EV behaviour in Future Electricity Systems is offered to PhD degree

    4. For which field is Predicting EV behaviour in Future Electricity Systems offered for?

      Predicting EV behaviour in Future Electricity Systems is offered for Chemical, Materials and Biological Engineering

    5. Who can apply for Predicting EV behaviour in Future Electricity Systems?

      Predicting EV behaviour in Future Electricity Systems is open for: Open to citizens of UK

    6. Who is offering Predicting EV behaviour in Future Electricity Systems?

      Predicting EV behaviour in Future Electricity Systems is offered by University of Sheffield

    7. What is the funding covered in Predicting EV behaviour in Future Electricity Systems?

      Predicting EV behaviour in Future Electricity Systems Covers Full Funding, full tuition fees + stipend

    8. Where can Predicting EV behaviour in Future Electricity Systems can be taken at?

      Predicting EV behaviour in Future Electricity Systems can be taken at
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