At a Glance
- Tasks: Teach and research AI applications in energy systems, shaping future innovations.
- Company: Join UCL, a top 10 global university, renowned for its research and teaching excellence.
- Benefits: Enjoy 41 days of holiday, competitive salary, and professional development opportunities.
- Other info: Permanent position available from September 2026, with excellent career growth potential.
- Why this job: Make a real impact on climate change solutions while mentoring the next generation.
- Qualifications: PhD in AI, data science, or energy systems with teaching experience.
The predicted salary is between 45000 - 55000 € per year.
UCL ranked in the top 10 universities in the world 12 years running. Our Energy Institute delivers world‑leading learning, research and policy support on the challenges of climate change and energy security.
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 in 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.
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 deep experience in supervised and unsupervised learning methods, and in deploying deep learning architectures, with applications across energy systems, urban environment, transport or the built environment. Your work may involve large‑scale energy datasets 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.
As well as the exciting opportunities this role presents, we also offer some great benefits, including 41 days holiday (27 days annual leave, 8 bank holidays).
Lecturer in Energy and Artificial Intelligence in London employer: UCL
UCL is an exceptional employer, renowned for its commitment to academic excellence and innovation in research. As a Lecturer in Energy and Artificial Intelligence, you will thrive in a collaborative environment that fosters professional growth, with access to world-class resources and a vibrant community of scholars. With generous benefits including 41 days of holiday and a focus on work-life balance, UCL provides a supportive atmosphere for both personal and professional development in the heart of London.
StudySmarter Expert Advice🤫
We think this is how you could land Lecturer in Energy and Artificial Intelligence in London
✨Tip Number 1
Network like a pro! Attend conferences, workshops, and seminars related to energy and AI. This is where you can meet potential collaborators and employers who are just as passionate about the field as you are.
✨Tip Number 2
Showcase your expertise! Create a personal website or portfolio that highlights your research, teaching experience, and any projects you've worked on. This gives hiring managers a quick glimpse of what you bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in academia, especially those related to AI and energy systems. Be ready to discuss your research and how it aligns with the goals of the UCL Energy Institute.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Lecturer in Energy and Artificial Intelligence in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI and energy. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects or research!
Show Off Your Teaching Experience:Since this role involves teaching, it’s crucial to mention any previous teaching roles or mentorship experiences. We love seeing how you’ve engaged students and contributed to their learning in AI and energy systems.
Highlight Research Achievements:Don’t forget to include your research outputs, especially those published in peer-reviewed journals. We’re looking for someone with a strong track record, so make sure to detail your contributions to the field of AI and energy.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at UCL
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and energy systems. Be ready to discuss your research and how it applies to real-world challenges. Familiarise yourself with UCL's Energy Institute and its projects, so you can show how your expertise aligns with their goals.
✨Showcase Your Teaching Skills
Prepare to talk about your teaching philosophy and experiences. Think of specific examples where you've successfully engaged students in AI or data analytics. Highlight any innovative teaching methods you've used, as this will demonstrate your commitment to student mentorship.
✨Engage with Real-World Applications
Be ready to discuss how your research can contribute to applied energy solutions. Think about case studies or projects where you've used AI/ML techniques to solve energy problems. This will show that you understand the practical implications of your work.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the Energy Institute's future directions. Inquire about potential collaborations or projects that excite you. This not only shows your interest but also helps you gauge if the position is the right fit for you.
