Fully-funded PhD funding for Domestic & International Students at Northumbria University in UK

Benefits of joining this project

This project provides an excellent opportunity for students to dig into the realm of wind energy from a holistic perspective. The incorporation of data-driven techniques, such as machine learning approaches, will enrich the scope of the project.

Students engaged in this project will potentially have the chance to collaborate with industry partners in the wind energy sector, gaining valuable practical experience and fostering connections within the industry.

Doctor of Philosophy (PhD)

The degree of Doctor of Philosophy (PhD) is the University's principal research degree for graduate students and is available in all faculties and departments. Read more

Master of Philosophy (MPhil)

There are two types of MPhil on offer at Cambridge: the MPhil by Advanced Study, which includes a taught element, and the MPhil by Dissertation, which is a research-only programme leading to a dissertation

Eligible programmes

Only complete full-time and part-time postgraduate taught courses that lead to a Master’s degree are included within the scholarship scheme:

Full-time course leading to a taught Master’s degree

Part-time course leading to a taught Master’s degree

MRes Biosciences

MRes Stem Cell Neurobiology

Cardiff University welcomes candidates from diverse backgrounds and is committed to accommodating reasonable project adaptations to support individual circumstances. 

Postgraduate 

The postgraduate loan available to you will depend on where you are ordinarily resident before you start your course and the course you plan to study. Previous study on a postgraduate course, including any time spent registered on an integrated masters course could also impact the postgraduate loan available to you.

PhD Studentship within DECaDE

We seek applications from an enthusiastic, self-motivated student for a funded PhD studentship within the DECaDE: Centre for the Decentralized Digital Economy, led by the Centre for Vision, Speech and Signal Processing (CVSSP) with over 30 industry partners.

Hold a first class or 2:1 honours degree (or equivalent overseas qualification) in an appropriate discipline (e.g. engineering, computer science, signal processing, applied mathematics, and physics)

Are able to demonstrate excellent mathematical, analytic, programming skills.

Eligibility:

You must also have submitted an application for our PhD programme and received an offer.

Exclusions:

The scholarship is full-time fees only and excludes living costs, travel etc. Up to one scholarship can be provided to cover the current overseas fee (Band 1). More detail is available on current ratesLink opens in a new window. We reserve the right to extend the deadline and/or award only one or no scholarship(s) if the applications received are not deemed suitable.