Lecturer in Energy and Artificial Intelligence

Lecturer in Energy and Artificial Intelligence

Location: London, Hybrid/On-site
Salary: £54,931 to £64,644
Hours: Full Time
Contract Type: Permanent
Placed On: 15th April 2026
Closes: 17th May 2026
Job Ref: B04-07308

The UCL Energy Institute (EI) is recruiting a Lecturer in Energy and Artificial Intelligence. This role is suited for an emerging researcher with strong research in AI and energy, and experience in teaching. The successful candidate will contribute to the Institute's research and teaching activities, including the development and application of advanced machine-learning models and big data analytics in energy systems. You will support research collaborations that advance the field, contribute to applied energy solutions, and engage with stakeholders across academia, industry, government, and NGOs. You will also play an active role in the delivery of UCL's teaching programmes, helping develop students' skills in AI, data analytics, and sustainable energy systems. The successful candidate will develop an independent research agenda in AI for energy, contribute to teaching across MSc and BSc programmes Energy Systems and Data Analytics and Sustainable Built Environments, Energy and Resources BSc and MEng by teaching two modules.

This post is permanent and available from 1 September 2026.

About you

You are an internationally recognised researcher with strong expertise in artificial intelligence, machine learning, and data analytics applied to energy systems and sustainability challenges. You have experience in supervised and unsupervised learning methods, and in deploying deep learning architectures across energy systems, urban environment or transport.

Your work involves large-scale energy data sets and big data analytics, and you have demonstrated expertise applying AI/ML techniques to real-world energy problems. Experience in time-series modelling, simulation forecasting, reinforcement learning, and causal modelling approaches for evaluating the impacts of policy and technological interventions would be particularly valuable. You have a track record of producing research outputs in peer-reviewed journals and can demonstrate potential to develop an independent research programme. You are committed to teaching and student mentorship, with experience in delivering taught modules in AI, ML and data-driven approaches to energy systems, sustainability, and innovation.

You hold a PhD in a relevant field, such as artificial intelligence, data science, or energy systems, with a clear focus on applications in the energy sector. You have experience in research and teaching, and have contributed to applied energy research projects or collaborations that demonstrate the practical impact of AI and machine learning methods in energy systems.