Lecturer in Energy Systems and Data Analytics

About us

UCL has been ranked ninth best university in the world for the second year in a row, marking UCL’s 13th year among the top 10 universities worldwide, in the 2025 QS World University Rankings. Our Energy Institute https://www.ucl.ac.uk/bartlett/energy/ deliver world-leading learning, research and policy support on the challenges of climate change and energy security.

About the role

The UCL Energy Institute (EI) is recruiting a Lecturer in Energy Systems and Data Analytics. The successful candidate will will specialize in data analytics, machine learning, and AI applications in energy management across buildings, transport, and smart infrastructure. They will also specialise in a set of areas for example descriptive, predictive, and prescriptive analytics, with applications in energy systems modelling, smart infrastructure and energy management. Capacity to teach students to use data analytics for sustainable cities and buildings, focusing on the role of machine learning and data driven approach across sectors and services. Ability to collaborate with researchers from environmental sciences, engineering, economics, and social sciences to address complex energy and sustainability challenges. Demonstrated ability to publish research in academic journals. Experience working with energy industry, government, or NGOs on sustainability and lifecycle management of e nergy systems. In addition to developing a research agenda in collaboration with colleagues, the successful candidate will contribute to teaching across our MSc and BSc programs, Sustainable Built Environments, Energy and Resources BSc and MEng and Energy Systems and Data Analytics.

This post is available from 01st August 2025. First round interviews will take place online on the 19th May 2025, with second round interviews in person on the 22nd May 2025.

A job description and person specification can be accessed at the bottom of this page. If you have any queries regarding the vacancy, or the application process, please contact bseer-. If you have specific questions about the role please contact Institute Director, Prof Catalina Spataru:

About you

You will have expertise in data analytics, machine learning, and AI applications in energy systems, with a focus on systems across buildings, transport, and smart infrastructure. Your research advances methodologies contributing to energy systems modelling, infrastructure, and energy management. You will have the capacity to incorporate modelling techniques and methods into your teaching. You have a demonstrated ability to produce high-quality, impactful research, as evidenced by publications in peer-reviewed academic journals. You are actively contributing to advancing the field of energy systems and sustainability. Your experience extends beyond academia, having worked with or collaborated with energy industry stakeholders, government bodies, or NGOs on sustainability projects related to energy systems. You are passionate about teaching and can engage students in both theoretical and practical applications, with strong expertise in data-driven approaches to sustainable energy sy stems, with a focus on machine learning and AI-driven decision-making. You have experience developing and delivering taught modules on topics relevant to our teaching programmes that prepare students for real-world challenges in energy systems and sustainability. You will have a PhD in a relevant field that aligns with the research and teaching requirements outlined in the job description. You will also have excellent communication skills, and be able collaborate across a range of disciplines and stakeholders.

Customer advert reference: B04-06028

Advert information