About the role
University College London (UCL) wishes to appoint a Research Assistant or Research Fellow in Digital Twin for Hydropower Plants and Historic Buildings. The post holder will be based at The Bartlett School of Sustainable Construction at the Bartlett Faculty of the Built Environment, a world-leading faculty ranked #1 in the world for Built Environment studies and #1 in the UK for its research environment (REF ). The post holder will join our dynamic research team as part of the groundbreaking European Commission-funded projects 'D-HYDROFLEX' and “INHERIT”. D-HYDROFLEX focuses on digital solutions to enhance the sustainability and flexibility potential of hydropower, aligning with the goals of the European Green Deal and Digital Decade Policy Programme. Additionally, the “INHERIT” project, aims to develop and demonstrate next-generation digital solutions to improve energy and resource consumption of historic buildings. This is a fixed-term contract role (12 months) with an immediate start date.
About You (Key requirements)
The successful candidate will play a crucial role in advancing digital technology research in hydropower, contributing to the project's overarching goal of creating more efficient, sustainable, and competitive hydropower plants. This role involves active engagement in developing innovative digital tools, including digital twins, AI algorithms, and hybridization modelling, to 'renovate' existing hydroelectric plants and drive the decarbonization of the energy system. Be part of this transformative journey to shape the future of sustainable energy in Europe.
The appointee is required to have (or be close to obtaining) a PhD Degree in Civil Engineering, Environmental Engineering, Computer Science, Electrical Engineering, or a related field with a focus on hydropower, digital modelling, or sustainability. To be appointed to Research Fellow (with grade 7 salary) a PhD is necessary. Otherwise appointment will be Research Assistant (with Grade 6B salary). They will have experience working in research and publishing academic papers and have proven experience in digital modelling, particularly in the creation of digital twins, and a strong understanding of AI algorithms, hybridization modelling, cloud-edge computing, and image processing.
They will also have exceptional project management skills, with the ability to coordinate multiple aspects of a research project and meet tight deadlines. As well as advanced technical skills in digital modelling and simulation, particularly related to hydropower systems and infrastructures. This role will also assist in the supervision of student projects; provision of supervision/instruction to classes; assist in the development of student research skills; and plan and deliver seminars relating to research area. The successful candidate will show excellent interpersonal skills, with the capacity to build and maintain effective working relationships with a diverse range of stakeholders, including academic colleagues, industry partners, and project consortium members.
Your application will be assessed based on how well the criteria set out in the person specification are met using examples to demonstrate this. Please read the Candidate Guidance document below.
A cover letter is required which addresses the criteria in the person specification.
For further details including a job description and person specification, please click ‘Apply Now’.
What we Offer
As well as the exciting opportunities this role presents, we also offer great benefits. Please visit lang="EN-GB" xml:lang="EN-GB" data-contrast="none">to find out more.