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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: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Embrace diversity and inclusion in a dynamic online learning environment.
- Why this job: Make a real impact in an exciting interdisciplinary field while teaching the next generation.
- 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 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.
University of the Built Environment is a place where you can bring your industry and teaching expertise to an online education environment and really make a difference. We expect you to have strong IT and digital skills and be passionate about teaching online.
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 (master’s 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.
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: Euraxess
Contact Detail:
Euraxess Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer – Renewable Energy and AI in Reading
✨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 experience, projects, and any relevant research. This will help you stand out when chatting with potential employers or during interviews.
✨Tip Number 3
Prepare for those interviews! Research common questions related to online teaching and renewable energy. Practice your answers and think about how you can demonstrate your passion for the subject and your teaching style.
✨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 genuinely interested in joining our innovative team.
We think you need these skills to ace Lecturer – Renewable Energy and AI in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lecturer role in Renewable Energy and AI. Highlight your teaching experience, especially in online settings, and showcase your proficiency in MATLAB and Python. We want to see how your background aligns with our innovative approach!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for teaching and how you can contribute to our MSc programme. Be sure to mention any relevant industry experience and your commitment to equality, diversity, and inclusion – it’s important to us!
Showcase Your Teaching Style: In your application, give us a glimpse of your teaching style. Whether it's through examples of past modules you've developed or innovative online teaching methods you've used, we want to know how you engage students and create an inclusive learning environment.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our community at the University of the Built Environment!
How to prepare for a job interview at Euraxess
✨Know Your Stuff
Make sure you brush up on your knowledge of renewable energy and AI. Be ready to discuss how you can integrate these topics into your teaching. Familiarise yourself with the latest trends and technologies in the field, as well as any relevant research you've conducted.
✨Showcase Your Teaching Style
Prepare to demonstrate your teaching philosophy and methods. Think about how you would engage students in an online environment. You might even want to prepare a mini-lecture or a sample lesson plan to showcase your approach to delivering high-quality education.
✨Highlight Your Technical Skills
Since proficiency in MATLAB and Python is essential, be ready to discuss your experience with these tools. Consider sharing specific examples of projects where you've used them for modelling, simulation, or data analysis. This will show that you’re not just knowledgeable but also hands-on.
✨Emphasise Inclusivity
The University values equality, diversity, and inclusion, so be prepared to talk about how you design inclusive learning experiences. Share examples of how you've adapted your teaching to meet diverse student needs and how you plan to create an engaging online environment for all learners.