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- Tasks: Teach and research AI applications in energy systems while developing innovative solutions.
- Company: Join UCL Energy Institute, a leader in energy and AI research.
- Benefits: Competitive salary, hybrid work options, and opportunities for professional growth.
- Other info: Permanent position with excellent career development opportunities.
- Why this job: Make a real impact on sustainable energy through cutting-edge AI research and teaching.
- Qualifications: PhD in AI or related field, with strong teaching and research experience.
The predicted salary is between 54931 - 64644 £ per year.
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.
Lecturer in Energy and Artificial Intelligence employer: UK Energy Research Centre
Contact Detail:
UK Energy Research Centre Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer in Energy and Artificial Intelligence
✨Network Like a Pro
Get out there and connect with folks in the energy and AI sectors. Attend conferences, workshops, or even local meetups. We all know that sometimes it’s not just what you know, but who you know that can help land that dream job!
✨Show Off Your Skills
Don’t just talk about your expertise in AI and energy; showcase it! Create a portfolio of your projects, research papers, or any teaching materials you've developed. We want to see your work in action, so make it easy for potential employers to see what you can bring to the table.
✨Engage with the Community
Join online forums or social media groups related to energy and AI. Share your insights, ask questions, and engage in discussions. This not only builds your reputation but also keeps you updated on industry trends and job openings. Plus, we might spot you as a great fit for our team!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. We’re always on the lookout for passionate individuals who can contribute to our mission in energy and AI.
We think you need these skills to ace Lecturer in Energy and Artificial Intelligence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and energy systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about teaching and research in energy and AI. Let us know how you can contribute to our team and the UCL Energy Institute.
Showcase Your Teaching Experience: Since this role involves teaching, make sure to include any relevant teaching experience. We love to see how you've engaged students and developed their skills in AI and data analytics.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at UK Energy Research Centre
✨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 energy challenges. This role is all about merging theory with practice, so having concrete examples from your past work will really impress.
✨Showcase Your Teaching Skills
Since this position involves teaching, be prepared to talk about your teaching philosophy and methods. Think of specific instances where you've successfully engaged students or developed innovative course materials. Highlighting your mentorship experience can also set you apart.
✨Engage with the Interviewers
Don’t just answer questions—engage in a dialogue! Ask insightful questions about their current projects or future directions in AI and energy. This shows your genuine interest in the role and helps you assess if the institute aligns with your career goals.
✨Demonstrate Collaboration Skills
This role requires working with various stakeholders, so be ready to share examples of successful collaborations. Discuss how you've worked with industry partners, government bodies, or NGOs in the past, and how those experiences could benefit the UCL Energy Institute.