Snabbfakta
-
- Manchester
Ansök senast: 2024-11-26
Research Associate in Power System Dynamics and Machine Learning Applications
The Power & Energy Division at the University of Manchester comprises 22 academic staff and a team of over 120 research staff and students. The Division’s research activities range from the design of power electronic circuits to the analysis and control of complete energy conversion systems and utility networks. Applications of particular interest include the active management of power networks including smart grids, Flexible AC Transmission Systems (FACTS), integration of HVDC into power networks, renewable power generation (especially wind), as well as more-electric aircraft and ships. As such the Division offers one of the strongest research environments within any UK university for undertaking electrical power research.
With around 70 academic staff, the Department of Electrical and Electronic Engineering is one of the largest of its type in the country and has about 850 undergraduates, 350 taught postgraduates, and 260 research students.
Overall Purpose of the Job
This role is part of a 4+3 years research programme funded by a UK Research and Innovation Future Leaders Fellowship (%2FY00390X%2F1), specifically liked to the +3 years renewal, led by Dr. Panagiotis Papadopoulos, around the area of “Addressing the complex dynamic behaviour of future power systems”.
The Fellowship is aiming at investigating and developing necessary models, novel methods and tools to address the increasing uncertainty and complexity introduced in power system dynamic behaviour by the connection of new technologies (, electric vehicles, storage devices, HVDC interconnectors, etc).
The post is fixed term for 12 months and the Grade appointment will depend on qualifications () and skills.
Fler jobb från Talent
