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An established industry player is seeking a passionate Lecturer in Energy Systems and Data Analytics to join their dynamic team. This role focuses on advancing methodologies in data analytics, machine learning, and AI applications in energy management across various sectors. The successful candidate will engage students through innovative teaching methods while contributing to impactful research in sustainability. With a commitment to addressing complex energy challenges, this position offers a unique opportunity to influence the future of sustainable energy systems. If you are driven by a passion for education and research, this role is perfect for you.
London, United Kingdom
Other
Yes
9a794075af7d
About the role
The UCL Energy Institute (EI) is recruiting a Lecturer in Energy Systems and Data Analytics. The successful candidate will specialize in data analytics, machine learning, and AI applications in energy management across buildings, transport, and smart infrastructure. They will also specialize in descriptive, predictive, and prescriptive analytics, with applications in energy systems modelling, smart infrastructure, and energy management. The role requires the capacity to teach students to use data analytics for sustainable cities and buildings, focusing on machine learning and data-driven approaches across sectors and services. The candidate should have the ability to collaborate with researchers from various fields to address complex energy and sustainability challenges and demonstrate the ability to publish research in academic journals. Experience working with the energy industry, government, or NGOs on sustainability and lifecycle management of energy systems is essential. The successful candidate will contribute to teaching across our MSc and BSc programs, including Sustainable Built Environments, Energy and Resources BSc and MEng, and Energy Systems and Data Analytics. This post is available from 01st August. First round interviews will take place online on the 19th May, with second round interviews in person on the 22nd May.
About you
You will have expertise in data analytics, machine learning, and AI applications in energy systems, focusing on systems across buildings, transport, and smart infrastructure. Your research will advance methodologies contributing to energy systems modelling and energy management. You will have the capacity to incorporate modelling techniques and methods into your teaching. A demonstrated ability to produce high-quality research, evidenced by publications in peer-reviewed academic journals, is required. You will have experience working 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 systems. A PhD in a relevant field that aligns with the research and teaching requirements outlined in the job description is required.
What we offer
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