Postdoctoral Research Associate in Next Generation - Durham, United Kingdom - Durham University
Description
Postdoctoral Research Associate in Next Generation Wireless / Wired Communications
(Job Number
: )**Department of Engineering
Grade 7:
- £37,099
- £39,347 per annum
Contract Duration: 21 months
Contracted Hours per Week: 35
Working Arrangements:
This post holder will be full time, but we will consider requests for flexible working arrangements including potential job shares
Closing Date: 03-Mar-2024, 5:59:00 PM
Disclosure and Barring Service Requirement:
Not Applicable.
Durham University
Durham University is one of the world's top universities with strengths across the Arts and Humanities, Sciences and Social Sciences.
We are home to some of the most talented scholars and researchers from around the world who are tackling global issues and making a difference to people's lives.
The University sits in a beautiful historic city where it shares ownership of a UNESCO World Heritage Site with Durham Cathedral, the greatest Romanesque building in Western Europe.
Less than 3 hours north of London, and an hour and a half south of Edinburgh, County Durham is a region steeped in history and natural beauty.
The Durham Dales, including the North Pennines Area of Outstanding Natural Beauty, are home to breath taking scenery and attractions.
Durham offers an excellent choice of city, suburban and rural residential locations.The University provides a range of benefits including pension and childcare benefits and the University's Relocation Manager can assist with potential schooling requirements.
The Department
The Department of Engineering is consistently one of the very best UK engineering departments with an outstanding reputation for excellence in teaching, research and employability of our students.
The Department is ranked 5th in the Complete University Guide 2024, 5th in the Guardian University Guide 2024, and 7th in the Times and Sunday Times Good University Guide 2023 in the UK for General Engineering.
Ranked in the top six in the UK for overall profile in REF 2021 (with 95% of publications rated as 4* and 3*), this dynamic Department is an excellent place to work.
The strategic vision for the Department includes a growth plan of over 50% over the next five years, with a significant enhancement of the research challenge portfolio and a drive to enrich our undergraduate, postgraduate taught and postgraduate research provision.
It is an exciting time to join this expanding Department and make your mark.
The Department holds an Athena SWAN Bronze Award, recognising our commitment to diversity in STEM academic and reflecting the supportive and positive environment within the Department.
Currently the laboratory has over 20 researchers and is a leading research facility that brings together advanced simulation tools, realistic emulators, and innovative testbeds to revolutionise smart grid research and development.
The Laboratory is equipped with an extensive array of resources:- Real-Time Digital Simulator (RTDS) for realtime simulation and analysis of power systems enables complex grid interaction studies, validation of protection schemes, and control strategy development.
- Solar and wind emulators allow for the recreation and examination of various renewable energy generation scenarios, promoting the integration of green energy solutions into power grids.
- A versatile microgrid testbed provides an ideal environment for modelling, testing, and validating the performance of microgrids, energy management systems, and advanced control algorithms.
- OPAL-RT, a powerful realtime simulation tool, enhances hardwareintheloop testing capabilities and expands the lab's capacity to validate equipment and control algorithms before deployment.
- Smart meters and smart appliances, such as TVs, fridges, enable researchers to investigate demandside management strategies, energy efficiency measures, and innovative energysaving solutions.
- Specialised AI tools running on highperformance computing systems empower the development and refinement of advanced algorithms for optimal grid management, renewable energy forecasting, and adaptive decisionmaking.
- Development of advanced energy storage solutions and integration into the smart grid ecosystem.
- Implementation of machine learning techniques for predictive maintenance and fault detection in power systems.
- Exploration of vehicletogrid (V2G) technologies and their potential impact on grid stability and energy management.
- Evaluation of wireless communication technologies and cybersecurity measures for secure and reliable smart grid operation.
- Investigation of advanced demand response programs a
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