PhD Studentship in Machine Learning: Embark on a transformative journey in shaping sustainable electricity markets through cutting-edge machine learning techniques. The ML-SEM PhD project, part of the UKRI AI Centre for Doctoral Training in AI for Sustainability (SustAI), offers a unique opportunity to contribute to the forefront of sustainable circular economies and operations through AI innovation.
PhD Studentship in Machine Learning for Sustainable Electricity Markets (ML-SEM)
Summary Table:
- Qualification Type: PhD
- Location: University of Southampton, Southampton, UK
- Funding for: UK Students, EU Students, International Students
- Funding Amount: Tuition fees, a tax-free living stipend of £21.5k per year for 4 years, and £4.8k for travel and equipment
- Hours: Full Time
- Placed On: 30th April 2024
- Closes: 31st May 2024
Study Area: Machine Learning for Sustainable Electricity Markets
Eligibility/Qualification:
Candidates must possess a very good undergraduate degree (at least a UK 2:1 honours degree or its international equivalent).
Description:
Machine learning (ML) offers a groundbreaking approach to revolutionize sustainable electricity markets by optimizing resource allocation, enhancing grid stability, and facilitating the integration of renewable energy sources. The ML-SEM PhD project focuses on leveraging ML algorithms to analyze vast datasets, including energy consumption patterns, weather forecasts, and market dynamics, to inform decision-making processes and improve efficiency in electricity generation, transmission, and distribution. This research will concentrate on deploying ML techniques to study the effective integration of renewable energy sources, such as solar and wind power, into the grid, facilitating the transition towards a more sustainable energy mix while ensuring grid stability and minimizing costs.
How to Apply:
- Apply online: Visit the University of Southampton’s Postgraduate Programme of Study (soton.ac.uk).
- Select programme type Research, Full or Part-time, choose the 2024-2025 Academic year, and in the Search text enter “sust”.
- On the next page, select Apply Online for the “iPhD AI for Sustainability”.
- In Section 2 of the application form, include the name of the project in the Area of Research.
- Applications should include:
- Research Proposal
- Curriculum Vitae
- Two reference letters
- Degree Transcripts/Certificates to date
For more information about the SustAI CDT and the application process, visit: SustAI Info
For informal project discussions, please contact Professor Enrico Gerding, Director of the SustAI CDT, via Email: sustai@soton.ac.uk
Last Date: 31st May 2024. Later admissions may be considered depending on funds remaining.
