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- Tasks: Lead innovative research in energy, AI, and data analytics while mentoring students.
- Company: Join 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 with excellent career development opportunities starting September 2026.
- Why this job: Make a real impact on sustainable energy solutions and shape future leaders.
- Qualifications: PhD in relevant field with experience in research, teaching, and project leadership.
The predicted salary is between 68284 - 76244 £ per year.
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 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.
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
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
✨Network Like a Pro
Get out there and connect with folks in the energy innovation space! Attend conferences, workshops, or even local meet-ups. Building relationships can open doors to opportunities that aren’t even advertised.
✨Showcase Your Expertise
Don’t just wait for job offers to come to you. Share your knowledge on platforms like LinkedIn or even start a blog about AI and energy systems. This not only showcases your expertise but also gets you noticed by potential employers.
✨Prepare for Informal Chats
Sometimes, it’s all about who you know. Be ready for informal chats or coffee meetings with industry professionals. These conversations can lead to job referrals or insider info about upcoming positions.
✨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 seen by the right people. Plus, we love seeing passionate candidates who are eager to join our mission.
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 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 include any collaborations or partnerships that have made a difference.
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
✨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 datasets and how they apply to real-world energy solutions. Being able to discuss specific projects or research you've led will show your expertise.
✨Showcase Your Impact
Prepare to talk about your previous research and its impact on the energy sector. Highlight any collaborations with industry, government, or NGOs that demonstrate your ability to translate academic work into practical applications. Use concrete examples to illustrate your contributions.
✨Engage with Teaching Philosophy
Since teaching is a key part of this role, be ready to discuss your approach to education and mentorship. Think about how you can make complex topics like AI and data analytics engaging for students. Share any innovative teaching methods you've used in the past.
✨Build Connections
Research the UCL Energy Institute and its current projects. Be prepared to discuss how your vision aligns with their goals and how you can foster partnerships. Showing that you’re proactive about collaboration will set you apart as a candidate who’s ready to lead.