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- Tasks: Lead research and teaching in Energy AI and Data Analytics, developing advanced machine-learning models.
- Company: Join the UK Energy Research Centre, a leader in energy innovation.
- Benefits: Permanent role with hybrid work model, competitive salary, and professional development opportunities.
- Other info: Exciting opportunity to shape the future of energy technology from September 2026.
- Why this job: Make a real impact in energy systems while collaborating across diverse sectors.
- Qualifications: PhD in a relevant field and proven experience in AI research and teaching.
The predicted salary is between 45000 - 60000 £ per year.
The UK Energy Research Centre is seeking a Lecturer in Energy and Artificial Intelligence to contribute to research and teaching efforts. The candidate will focus on developing advanced machine-learning models and big data analytics in energy systems, supporting collaborations across multiple sectors.
A PhD in a relevant field and a strong track record in AI research and teaching are essential. This is a permanent role available from September 2026 with a hybrid work model in London.
Lecturer in Energy AI & Data Analytics 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 in Energy AI & Data Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy AI and data analytics field. Attend conferences, webinars, or local meetups to connect with potential colleagues and collaborators. You never know who might have a lead on your dream job!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your research and projects in machine learning and big data analytics. This will not only demonstrate your skills but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research the UK Energy Research Centre and understand their current projects and goals. Tailor your responses to show how your background in AI aligns with their mission and how you can contribute to their team.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Lecturer role. Plus, applying directly shows your enthusiasm and commitment to joining our innovative team.
We think you need these skills to ace Lecturer in Energy AI & Data Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and data analytics, especially in 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 Energy AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Teaching Experience: Since teaching is a big part of this role, make sure to highlight any relevant teaching experience you have. Share examples of how you've engaged students and made complex topics accessible – we’re all about inspiring the next generation!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our community at UK Energy Research Centre!
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 energy AI and data analytics. Familiarise yourself with advanced machine-learning models and big data applications in energy systems. This will not only help you answer technical questions but also show your passion for the field.
✨Showcase Your Teaching Skills
Prepare to discuss your teaching philosophy and methods. Think of examples where you've successfully engaged students or made complex topics accessible. This is crucial since the role involves teaching, and demonstrating your ability to connect with learners will set you apart.
✨Highlight Collaborative Experiences
Since the position involves supporting collaborations across multiple sectors, be ready to share specific examples of past collaborative projects. Discuss how you navigated challenges and contributed to team success, as this will demonstrate your ability to work well with others.
✨Ask Insightful Questions
Prepare thoughtful questions about the department's research focus and future projects. This shows your genuine interest in the role and helps you gauge if the environment aligns with your career goals. Plus, it’s a great way to engage with your interviewers!