Research Assistant or Postdoctoral Research Associate

About the Role
This position will undertake research to realise the objectives and development of the InnovateUK-funded project into “AI-Powered, Nanotech-Enabled Microgrids For Communities And Critical Infrastructure In Ukraine”. The project aims to deliver an intelligent, sustainable, and reliable energy microgrid to support Ukraine’s recovery from war. Queen Mary University of London’s commitment focuses on developing an optimisation framework to configure the microgrid, primarily including the battery storage and solar PV, which supports vital public services, such as water utilities and rural energy communities.

Key responsibilities of this position include i) coordinate with Ukraine in-country partners to collect data and propose use cases of the microgrid ii) develop the optimal sizing method for microgrid using programming software like Python or MATLAB, implement it for case study areas, and iii) prepare research reports and contribute to project discussions.

About You
Applicants must have an Undergraduate Degree in Electrical Engineering, applicants at the PDRA-level must have a PhD (or close to completion) or research qualification/experience equivalent to PhD level, in Electrical Engineering. Candidates should have knowledge in energy management and conducting power systems modelling and optimisation through simulations.

This is a full-time post, also available for part-time or job share. Candidates should clearly indicate their preference on their application. This post may be extended further, subject to further additional funding.

Candidates are kindly requested to upload documents totalling no more than 10 pages; certificates, references and research papers should not be provided at this stage.

About the School of EECS
As a multidisciplinary School, we are known for our pioneering research and pride ourselves on our international reputation. We are equal first in the UK for the impact of our Computer Science research, and second for our Electronic Engineering research output (REF 2021).

We offer high-quality education to students from diverse backgrounds that leads them to achieve great career outcomes. Our Computing courses were recognised by a recent report from the Institute of Fiscal Studies as top in the country for social mobility.

We welcome staff from diverse backgrounds and are keen to reduce the gender gap, whilst providing a positive and flexible working environment for everyone.

About Queen Mary
Throughout our history, we’ve fostered social justice and improved lives through academic excellence and we embrace diversity of thought in everything we do. We believe that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.

Benefits
We offer competitive salaries, pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we have a range of work-life balance and family friendly, inclusive employment policies, as well as flexible working arrangements.

Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We have policies to support our staff throughout their careers, including arrangements for those who wish to work flexibly or on a job share basis, and we provide support for those returning from long-term absence. We particularly welcome applications from under-represented (BAME) groups, and from women in all stages of life, including pregnancy and maternity leave.

Advert information