Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 a competitive salary, flexible working, and generous holiday allowance.
- Other info: Embrace a culture of equality, diversity, and inclusion with excellent career growth opportunities.
- Why this job: Make a real impact in an exciting interdisciplinary field while shaping future leaders.
- Qualifications: Postgraduate degree and teaching experience in relevant subjects 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 world's 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 in Reading 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 in Reading
✨Tip Number 1
Get your networking game on! Connect with professionals in the renewable energy and AI sectors on LinkedIn. Join relevant groups, participate in discussions, and don’t be shy to reach out for informational chats. You never know who might have a lead on that perfect lecturer role!
✨Tip Number 2
Show off your teaching skills! Consider hosting a free webinar or workshop related to renewable energy or AI. This not only showcases your expertise but also helps you build a portfolio of your teaching style. Plus, it’s a great way to attract attention from potential employers.
✨Tip Number 3
Tailor your online presence! Make sure your LinkedIn profile and any other professional platforms highlight your proficiency in MATLAB and Python, as well as your teaching experience. Use keywords from the job description to ensure you pop up in searches by recruiters.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the details about the role and our values, which can help you tailor your approach when you land that interview.
We think you need these skills to ace Lecturer – Renewable Energy and AI in Reading
Some tips for your application 🫡
Show Your Passion: Let your enthusiasm for renewable energy and AI shine through in your application. We want to see how your passion aligns with our values of excellence and support, so don’t hold back!
Tailor Your CV: Make sure your CV highlights relevant teaching experience and technical skills, especially in MATLAB and Python. We’re looking for candidates who can design inclusive and engaging online learning experiences.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your teaching methods and how you’ve contributed to student success in the past.
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 gives you a chance to explore more about us.
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 recent 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 Scenario Questions
Expect questions that assess your problem-solving skills and ability to support students. Prepare scenarios where you had to adapt your teaching style or develop inclusive learning materials. This will highlight your flexibility and commitment to student success.
✨Align with Their Values
Familiarise yourself with the university's values: Passion, Integrity, Excellence, and Support. Be prepared to discuss how you embody these values in your work. Sharing personal anecdotes that reflect these principles will resonate well with the interviewers.