Research Fellow In Multi-Carrier Local Energy Communities

Join NTU-GridLab and work on cutting-edge topics on machine learning application in energy systems! We are part of the global efforts for creating cleaner air for all. Make a difference by joining us on this journey... Salary range: Grade G (£31,607 - £36,371 p.a. pro rata) Full-Time Fixed-Term for 1 year  About the Role In order to explore and develop self-sustainable Multi-Carrier Local Energy Communities, we are seeking a highly motivated Research Fellow. As a member of this team, you will contribute to cutting-edge research aimed at developing innovative solutions for energy distribution and management within local communities. A strong background in power and energy systems as well as expertise in the integration, optimization, and control of multi-carrier energy systems encompassing EVs and vehicle-to-grid systems are required. In addition to having a strong background and proven research experience in storage systems and vehicle-to-everything technologies, candidates should possess data-driven modeling, analysis, and decision making skills, as well as advanced optimization algorithms, focusing on increasing the flexibility of Local Energy Communities. Applicants are required to possess a degree in electrical engineering, computer engineering, or mechanical engineering, applied mathematics, economics, or a similar engineering-oriented discipline, as well as proficiency in programming languages such as Python and knowledge of relevant libraries and frameworks. Expertise in developing innovative algorithms for optimizing Local Energy Communities is essential, as is the ability to evaluate the economic, environmental, and social effects of proposed designs. The ideal candidate should be committed to research and knowledge transfer, as well as possess a practical mindset for developing innovative solutions. This position requires strong analytical, conceptual thinking, and communication skills in English, as well as the ability to work both independently and collaboratively within a team environment. This is an exciting externally funded position within NTU-GridLab. For more details, please take a look at the attached Job Description & Person Specification.  We'll still consider applications even if you don't meet every single one of the requirements, so don't be put off if you don't match them perfectly. Interviews are planned to be on week commencing 29th April 2024  About Us The School of Science and Technology at Nottingham Trent University (NTU) is an exciting multidisciplinary environment for learning, teaching and research, with some of the best facilities in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic science, mathematics, physics and sport science. This mix of traditional and modern subjects encourages and inspires future innovators. For any informal queries about the role or the team, please contact Dr Vahid Vahidinasab (Director of NTU-GridLab and Associate Professor of Power and Energy Systems) via vahid.vahidinasab@ntu.ac.uk.