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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: Permanent role starting September 2026 with excellent career advancement opportunities.
- Why this job: Make a real impact on sustainable energy solutions and shape future leaders in the field.
- Qualifications: PhD in relevant discipline with experience in energy systems and AI applications.
The predicted salary is between 68284 - 76244 £ per year.
Location: London, Hybrid
Salary: £68,284 to £76,244
Hours: Full Time
Contract Type: Permanent
Job Ref: B04-07321
UCL Energy Institute seeks an internationally recognized academic leader in applied energy research and innovation, who has led cross-disciplinary initiatives on 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 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 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 employer: UK Energy Research Centre (UKERC)
Contact Detail:
UK Energy Research Centre (UKERC) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer / Associate Professor in Energy Innovation
✨Network Like a Pro
Get out there and connect with people in the energy and innovation 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!
✨Showcase Your Expertise
Create a personal website or LinkedIn profile that highlights your research, publications, and teaching experience. We want to see your work in action! Make sure to include any innovative projects you've led or participated in, especially those involving AI and data analytics.
✨Prepare for Informal Chats
Don’t wait for formal interviews to make an impression. Reach out to potential colleagues or industry leaders for informal chats about their work and insights. We can learn a lot from these conversations, and they might just lead to job opportunities down the line!
✨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. Plus, we love seeing candidates who are genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Lecturer / Associate Professor in Energy Innovation
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in energy innovation, AI, and ML. We want to see how your background aligns with the role, so don’t hold back on showcasing your relevant projects and achievements!
Showcase Your Research Impact: When detailing your research, focus on the impact it has had in the energy sector. We’re looking for candidates who can demonstrate how their work has contributed to real-world solutions, so be specific about your collaborations and outcomes.
Engage with Teaching Experience: Don’t forget to emphasise your teaching experience! We value candidates who can translate complex concepts into engaging learning experiences, so share examples of modules you’ve delivered and how you’ve mentored students.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it gives us a chance to see your enthusiasm for joining our team at UCL Energy Institute!
How to prepare for a job interview at UK Energy Research Centre (UKERC)
✨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. Be ready to share examples of how you've successfully taught or mentored students in energy systems or data analytics.
✨Build Connections
Demonstrate your ability to foster partnerships by discussing your experience in leading cross-disciplinary initiatives. Talk about how you’ve built relationships with stakeholders in the energy sector and how you plan to continue doing so at UCL.