The growth in low-carbon technologies and decarbonisation of energy systems have resulted in exciting opportunities for power systems research. We are recruiting a PhD candidate interested to develop artificial intelligence (AI) techniques in areas including but not limited to i) Distribution System Planning; ii) Forecasting; iii) Resilience and climate adaptation of interdependent critical infrastructure; iv) Decision-making frameworks for grid planning and operation. The Birmingham Environment for Academic Research (BEAR) provides an ideal computing environment to conduct this research, with access to BlueBEAR - the University supercomputer and other HPC services, as well as training and coaching.
Applications are open to students that have, or expect to obtain, a 2:1 degree (or equivalent) or higher in a wide variety of scientific disciplines including engineering, computer science, mathematics, and related areas. Due to the nature of the project, the applicant should be able to demonstrate strong programming capabilities as well as strong written and verbal communication skills. The successful candidate will join a growing Power Systems research group with opportunity for interdisciplinary collaboration and partnerships with industry. Funding is also provided for career development, training, and presenting work at international conferences.
Interested students should first make an informal enquiry to Dr. Daniel Donaldson d.l.donaldson@bham.ac.uk with the subject line 'Prospective PhD Student', including the following:
• A brief statement explaining your motivation for pursuing a PhD and how your experience makes you a strong candidate to undertake this research (1-page A4 maximum).
• CV containing academic record and relevant experience.
• Contact details for two referees
School of Engineering, at the University of Birmingham, has strong commitments to diversity and equality of opportunity, and welcome applications from candidates irrespective of their background, gender, race, sexual orientation, religion, or age, providing they meet the required criteria.