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- Tasks: Lead innovative research in energy, AI, and data analytics while mentoring students.
- Company: UCL Energy Institute, a leader in applied energy research and innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to addressing major societal challenges in energy.
- Why this job: Make a real impact on sustainable energy solutions and shape future leaders in the field.
- Qualifications: PhD in relevant field with experience in energy systems, AI, and teaching.
The predicted salary is between 68284 - 76244 £ per year.
The UCL Energy Institute seeks an internationally recognized academic leader in applied energy research and innovation, who has led cross-disciplinary initiatives on a large scale. They will have a distinguished research and teaching profile in quantitative methods, machine learning (ML) and Artificial Intelligence (AI) applications in the energy field, and experience translating these cutting-edge techniques in the energy industry, government, or NGOs.
They will have overseen high-quality, impactful research collaborations in energy and innovation that address major societal challenges and opportunities associated with AI. They will guide the evolution of our energy and innovation research and programmes of activity, fostering strong external partnerships and pioneering international collaborations.
The role also carries a significant contribution to the broader strategic development of energy, innovation and AI at the UCL Energy Institute, encompassing education, training, research, governance, and operational leadership. The successful candidate will further develop our teaching portfolio, including our MSc and BSc programmes, Energy Systems and Data Analytics and Sustainable Built Environments, Energy and Resources BSc and MEng.
This is a permanent role available from 1 September 2026.
About you
You have strong expertise in energy, innovation, AI/ML and advanced data analytics. You have deep experience applications across energy systems, urban environment, transport or the built environment. Your work involves large-scale energy datasets and big data analytics, and you have demonstrated expertise in translating advanced AI/ML methods into real-world applications. Innovative solutions in forecasting, simulation, optimisation, system thinking, causal modelling, technological interventions and policy evaluation would be particularly valuable.
You have a strong track record of producing high-quality, impactful research demonstrated through publications in leading peer-reviewed journals and international collaborations. You have experience leading large-scale research projects, raising research funding and building partnerships across academia, industry, government or NGOs. Your work engages directly with stakeholders in the energy sector, contributing to the development of practical and scalable solutions for sustainable energy transitions.
You are committed to excellence in teaching and student mentorship, with the ability to translate advanced AI and data analytics methods into engaging learning experiences. You have experience delivering taught modules related to energy, innovation, AI, and data-driven approaches to sustainability and energy systems.
You must hold a PhD in a relevant discipline aligned with energy systems, innovation, AI, data science, or a closely related field with clear application to energy.
For appointment at Lecturer level, applicants should demonstrate a minimum of two years’ experience in research projects, publications, teaching experience, and student supervision. For appointment at Associate Professor level, applicants must have at least five years’ experience, with a proven track record of leading research projects, publications, delivering taught modules for MSc students and supervising PhD students with at least one to completion.
Lecturer / Associate Professor in Energy Innovation in London 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 / Associate Professor in Energy Innovation in London
✨Tip Number 1
Network like a pro! Attend conferences, workshops, and seminars related to energy innovation. It's all about making connections with people in the field who can help you land that dream role.
✨Tip Number 2
Showcase your expertise! Create a personal website or LinkedIn profile that highlights your research, publications, and teaching experience. This is your chance to shine and demonstrate how you can contribute to the UCL Energy Institute.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI, ML, and their applications in energy systems. Be ready to discuss your past projects and how they align 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 the attention it deserves. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lecturer / Associate Professor in Energy Innovation in London
Some tips for your application 🫡
Showcase Your Expertise: Make sure to highlight your strong expertise in energy, innovation, and AI/ML. We want to see how your experience aligns with the role, so don’t hold back on detailing your research projects and publications!
Tailor Your Application: Customise your application to reflect the specific requirements mentioned in the job description. We love it when candidates connect their skills and experiences directly to what we’re looking for at the UCL Energy Institute.
Engage with Your Teaching Philosophy: Since teaching is a big part of this role, share your approach to student mentorship and how you make complex topics engaging. We’re keen to know how you can inspire the next generation of energy innovators!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure your application gets into the right hands and helps us keep track of all the amazing talent out there.
How to prepare for a job interview at UK Energy Research Centre
✨Know Your Stuff
Make sure you’re well-versed in the latest trends and techniques in energy innovation, AI, and ML. Brush up on your knowledge of large-scale energy datasets and be ready to discuss how you've applied these methods in real-world scenarios.
✨Showcase Your Impact
Prepare to talk about your previous research projects and their societal impacts. Highlight any collaborations with industry, government, or NGOs, and be specific about how your work has contributed to sustainable energy transitions.
✨Engage with Teaching Experience
Since teaching is a big part of this role, think about how you can make complex topics engaging for students. Have examples ready of how you've successfully taught modules related to energy systems or data analytics.
✨Build Connections
Demonstrate your ability to foster partnerships by discussing your experience in building collaborations. Be prepared to share ideas on how you would develop external partnerships and contribute to the strategic development of the UCL Energy Institute.