Are you applying to universities? | SHARE YOUR EXPERIENCE Are you applying to universities? | SHARE YOUR EXPERIENCE

Artificial Intelligence for Renewable Energy and Sustainability

   The Institute for People-Centred Artificial Intelligence

This project is no longer listed on and may not be available.

Click here to search for PhD studentship opportunities
  Dr Erick Giovani Sperandio Nascimento , Prof P Kumar  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Renewable energy sources have gained increased attention and investments from the industries, governments and society, such as wind, solar, and hydrological sources, to enable a more sustainable and yet economically feasible development. However, the building and operationalization of renewable power plants face a series of challenges that must be tackled in order to improve their adoption. One of the main challenges resides in the ability to accurately predict the meteorological parameters that influence the generation of wind and solar energy from shorter to longer term, which becomes even more challenging in the face of climate change. 

Therefore, this project aims at researching, developing and building AI-based solutions that can support the development of more reliable and accurate weather forecasting systems applied to the prediction of solar and wind energy generation, extreme weather events forecasting and their effects, air quality and sustainability. Historical data from publicly available sources will be used, like surface weather stations, GDAS/ECMWF/Era5 and satellite data, among others, along with information about wind turbines and photovoltaic cells.

We seek for exceptional candidates that are willing to develop AI-based clean air solutions by researching and building cutting-edge approaches and techniques in the fields of deep learning, physics-informed and graph neural networks, spatial-temporal modelling, model explain ability and interpretability, time series foundation models, physical modelling and data-driven approaches, among others, applied to the challenges related to the fields of renewable energies and sustainability.

The applicant will be directly involved with research activities in the Global Centre for Clean Air Research (GCARE) and the People-Centred AI Institute, both in the University of Surrey, having access to an amazing set of resources, infrastructure and people engaged to deliver world-class research and technologies with a focus on the well-being of people and on the scientific and technological development of the academia, industry and society.

Entry requirements

Open to UK and international students starting in April 2023.

You will need to meet the minimum entry requirements for our Vision, Speech and Signal Processing PhD programme.

All applicants should have (or expect to obtain) a first-class degree in a numerate discipline (mathematics, science or engineering) or MSc with Distinction (or 70% average) and a strong interest in pursuing research in this field. Additional experience which is relevant to the area of research is also advantageous. IELTS minimum 6.5 overall with 6.0 in Writing, or equivalent.

How to apply

Applications should be submitted via the Vision, Speech and Signal Processing PhD programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the name of the relevant supervisor.

Funding notes

A stipend of £19,000 for 22/23, which will increase each year in line with the UK Research and Innovation (UKRI) rate, plus Home rate fee allowance of £4,596 (with automatic increase to UKRI rate each year). The studentship is offered for 3.5 years. For exceptional international candidates, there is the possibility of obtaining a scholarship to cover overseas fees.

How good is research at University of Surrey in Computer Science and Informatics?

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities
Search Suggestions
Search suggestions

Based on your current searches we recommend the following search filters.

PhD saved successfully
View saved PhDs