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- Tasks: Deliver engaging online lectures and develop innovative modules in Renewable Energy and AI.
- Company: Join the University of the Built Environment, a leader in online education.
- Benefits: Enjoy flexible working, generous holidays, and a competitive salary.
- Other info: Embrace a culture of equality, diversity, and inclusion in a supportive environment.
- Why this job: Make a real impact in an exciting interdisciplinary field while shaping future leaders.
- Qualifications: Postgraduate degree and teaching experience in renewable energy or AI required.
The predicted salary is between 39000 - 47000 £ per year.
Full time (35 hrs/wk), permanent. Remote place of work with office attendance in Reading and London for a minimum of six days per year. Salary range £39,000 to £47,000 pa plus benefits.
A very exciting opportunity has arisen for a Lecturer to join our School of the Built Environment, supporting with the delivery and development of a brand-new MSc offering in Renewable Energy and AI. You will deliver high-quality lectures (online), develop new modules, lead seminars and webinars, design assessments, and supervise MSc research projects. Proficiency in MATLAB and preferably Python is essential, as both platforms underpin the content of our core modules. This is an excellent opportunity to contribute to an innovative, interdisciplinary learning environment and ensure an excellent student experience.
Your accountabilities and responsibilities include:
- Contribute to the development and delivery of modules within the MSc Renewable Energy and AI programme
- Deliver high-quality teaching across renewable energy and AI-related modules through online modes
- Support students in experimental, modelling, simulation, and data-driven research projects
- Participate in programme review, enhancement, and quality assurance processes
Our main requirements:
- Postgraduate qualification (masters degree or equivalent) in a relevant field
- Teaching qualification or willingness to obtain one
- Proficiency in MATLAB and preferably Python programming for modelling, simulation, and data analysis
- Teaching experience in renewable energy, energy systems, AI applications, or related subjects in higher education
- Ability to design inclusive, industry-relevant, and research-informed online learning experiences
At University of the Built Environment we expect employees to demonstrate our values: Passion, Integrity, Excellence and Support. Student satisfaction and success are our main drivers, and our people consistently report high levels of employee engagement; your contribution will be valued should you join us.
We are a long-standing and leading provider of supported online education with a long-term ambition to be the worlds most sustainable university. Staff wellbeing and work-life balance are a priority for us, with flexible working arrangements and a generous holiday allowance amongst some of our key employee benefits.
To view the full job specification and to apply, visit the work for us > current vacancies page of our website. Vacancy closes on Monday 18 May 2026 at 17:00.
EQUALITY, DIVERSITY, AND INCLUSION: We champion equality, diversity, and inclusion in our workforce. We celebrate diversity and the strengths it brings to our staff body, our student community and our Board of Trustees, recognising that people are key to our success. Our aim is to attract, develop and retain a diverse workforce, therefore we welcome and encourage applications from all backgrounds.
Lecturer – Renewable Energy and AI employer: University of the Built Environment
Contact Detail:
University of the Built Environment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer – Renewable Energy and AI
✨Tip Number 1
Network like a pro! Reach out to your connections in the renewable energy and AI sectors. Attend online webinars or local meetups to make new contacts. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your teaching materials, projects, or any relevant research. This will give potential employers a taste of what you can bring to the table, especially in an online learning environment.
✨Tip Number 3
Prepare for those interviews! Research the University of the Built Environment and their values. Think about how your experience aligns with their mission and be ready to discuss how you can contribute to their innovative MSc programme.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining our team and contributing to a fantastic student experience.
We think you need these skills to ace Lecturer – Renewable Energy and AI
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for renewable energy and AI shine through. We want to see how passionate you are about teaching and making a difference in students' lives!
Tailor Your CV: Make sure your CV highlights your relevant experience in renewable energy, AI, and online teaching. We love seeing how your background aligns with our values and the role, so don’t hold back!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure to articulate your skills and experiences without unnecessary fluff. Less is often more!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure we receive all your details correctly and can get back to you as soon as possible.
How to prepare for a job interview at University of the Built Environment
✨Know Your Stuff
Make sure you brush up on your knowledge of renewable energy and AI. Familiarise yourself with the latest trends and technologies in these fields, especially how they relate to online education. Being able to discuss current developments will show your passion and expertise.
✨Showcase Your Teaching Skills
Prepare to demonstrate your teaching philosophy and methods. Think about how you can create engaging online learning experiences. Have examples ready of how you've successfully taught complex subjects before, particularly using MATLAB and Python.
✨Be Ready for Practical Questions
Expect questions that assess your problem-solving skills in real-world scenarios. You might be asked how you would approach a specific project or challenge in renewable energy or AI. Practise articulating your thought process clearly and confidently.
✨Emphasise Inclusivity and Support
The University values diversity and inclusion, so be prepared to discuss how you can create an inclusive learning environment. Share your ideas on supporting students from various backgrounds and ensuring everyone has the opportunity to succeed in their studies.