Overview

The UCL Energy Institute is recruiting a Lecturer in Energy Data Analytics and Sustainability, specialising in advanced data analytics, machine learning, and AI applications in the energy sector, with a strong interest in the energy transition, sustainability, and interdisciplinary collaboration. The successful candidate will have deep expertise in supervised and unsupervised machine learning, deep learning, optimisation, and energy data modelling.

The successful candidate will teaching in our programmes  MSc and BSc programs,  Sustainable Built Environments, Energy and Resources BSc and MEng and Energy Systems and Data Analytics through teaching of two core modules or equivalent, contributing to institutional roles and the leadership of MSc ESDA programme as Deputy Director. Contribute to teaching on other modules and programmes as appropriate. Supervision of students, including undergraduate and postgraduate level, being personal tutor for both undergraduate and postgraduate students. Develop research-led learning and teaching strategies in accordance with UCL’s Connected CurriculumSet, mark and assess work and examinations and provide students with feedbackDevelop a research portofolio and contribute to institutional roles.

About you

You will have strong expertise in advanced data analytics, machine learning, and AI applications in the energy sector, supported by a PhD in a quantitative discipline with a thesis directly relevant to the energy transition and the use of supervised, unsupervised, and advanced deep learning methods.

You will also bring substantial research experience in machine learning for energy, transport, or buildings including time-series forecasting, reinforcement learning for smart grid optimisation, causal inference for policy evaluation and experience in research-led teaching focused on data analytics and advanced ML methods.

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits, some of which are below:

  • 41 Days holiday (27 days annual leave, 8 bank holiday and 6 closure days)
  • Additional 5 days’ annual leave purchase scheme
  • Defined benefit career average revalued earnings pension scheme (CARE)
  • Cycle to work scheme and season ticket loan
  • Immigration loan
  • Relocation scheme for certain posts
  • On-site nursery
  • On-site gym
  • Enhanced maternity, paternity and adoption pay
  • Employee assistance programme: Staff Support Service
  • Discounted medical insurance

Visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more.