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- Tasks: Teach and research advanced AI and data analytics in energy systems.
- Company: Join the UK Energy Research Centre, a leader in energy innovation.
- Benefits: Permanent role with hybrid work model and opportunities for collaboration.
- Other info: Exciting opportunity to impact multiple sectors and advance your career.
- Why this job: Shape the future of energy with cutting-edge AI technology.
- Qualifications: PhD in a relevant field and proven AI research experience.
The predicted salary is between 45000 - 60000 £ per year.
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 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
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy and AI sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of machine-learning models and big data analytics. We recommend practising common interview questions and even doing mock interviews with friends or colleagues.
✨Tip Number 3
Showcase your research! Create a portfolio that highlights your previous work in AI and energy systems. This can be a great conversation starter during interviews and helps demonstrate your capabilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lecturer in Energy AI & Data Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and data analytics specifically related to 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!
Showcase Your Teaching Experience: Since teaching is a big part of this role, make sure to include any relevant teaching experience you have. We’re interested in how you engage students and convey complex concepts, so share examples of your teaching methods or successes.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our work and culture!
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 show your expertise but also 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 they’ll want to see how you can inspire the next generation.
✨Highlight Collaborative Experiences
Since the position involves supporting collaborations across multiple sectors, be ready to share specific examples of past projects where you worked with diverse teams. Emphasise your ability to communicate and collaborate effectively with different stakeholders.
✨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. It’s a two-way street, after all!