At a Glance
- Tasks: Investigate AI tools to enhance energy network resilience and prevent blackouts.
- Company: Join a leading research team focused on critical infrastructure resilience.
- Benefits: Gain valuable research experience, training, and opportunities for publication.
- Other info: Collaborate with industry experts and contribute to impactful research.
- Why this job: Make a real difference in energy security while developing cutting-edge AI skills.
- Qualifications: Strong interest in AI, machine learning, and energy systems.
The predicted salary is between 19350 - 23650 £ per year.
How can we leverage artificial intelligence to tackle modern serious threats to energy infrastructure that leave millions without power?
This Ph D project aims to investigate the use of Artificial Intelligence (AI) tools, including machine learning (ML) and agent-based control, for predicting, managing and improving the resilience of energy networks to disruption.
AI tools will be used to predict the likelihood and impact of cascading failures.
Cascading failures can lead to widespread electrical blackouts, typically characterised as High-Impact Low Probability (HILP) events, potentially leaving millions of people without energy, water or communications, risking lives, and costing £ billions.
Prior knowledge of the occurrence of such HILP events can enhance the response of infrastructure operators, thus limiting their impact.
You will build on prior research that has been done by the supervisor’s team on leveraging machine learning to predict large-scale blackouts, including the Network Theory Resilience Metric (NTRM) toolkit (https://github. com/sskazakos/NTRM).
What You Will Do
- Develop a prototype toolkit, which can be used to assess the resilience of energy networks and link with industrial systems to extract data and advise on the response interventions.
- Work with datasets from energy networks, wherever possible.
- Build advanced simulation models utilising machine learning and agent-based control techniques.
- Collaborate with researchers and industry stakeholders.
- Publish in high-impact journals and conferences.
Skills You Will Develop
- Energy network and complex systems modelling
- Artificial intelligence methods applied to infrastructure
- Resilience and risk analysis for critical systems
- Experience with real-world datasets
- You will benefit from our researcher development training programme, to enable you to develop your skills as a researcher and ensure you have what it takes to be successful in your future career.
Further information on this approach can be found on the website of the Critical Infrastructure Resilience Network (CIRe N): https://www. sussex. ac. uk/research/centres/critical-infrastructure-resilience-network/publications
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PhD Studentship: Artificial Intelligence and Agent-based Control for Improving Energy Network R[...] in Brighton employer: Emerging Scholars Council
The University of East London (UEL) is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the field of renewable energy. As a Postdoctoral Researcher, you will have access to state-of-the-art facilities and resources, along with ample opportunities for professional development and growth within a supportive academic environment. Located in London, UEL provides a dynamic setting that encourages meaningful contributions to sustainable energy solutions while working alongside industry leaders.
