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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 proficiency in MATLAB; teaching experience preferred.
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 employer: Euraxess
Contact Detail:
Euraxess 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 common questions related to online teaching and renewable energy. Practice your responses, focusing on how your experience aligns with their needs. Confidence is key!
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining us. Make sure to highlight your passion for teaching and your expertise in MATLAB and Python in your application.
We think you need these skills to ace Lecturer – Renewable Energy and AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Lecturer in Renewable Energy and AI. Highlight your teaching experience, proficiency in MATLAB and Python, and any relevant industry experience. We want to see how you can bring your unique skills to our innovative environment!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about teaching online and how your background aligns with our mission at the University of the Built Environment. Let us know what excites you about this opportunity!
Showcase Your Teaching Philosophy: We love to see your approach to teaching! Share your teaching philosophy and how you design inclusive, engaging online learning experiences. This will help us understand how you plan to contribute to our students' success.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
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 recent developments in the field, as well as how MATLAB and Python play a role in your teaching and research. This shows you're not just familiar with the content but also passionate about it.
✨Showcase Your Teaching Style
Prepare to share examples of your teaching methods and how you engage students online. Think about how you can create inclusive and interactive learning experiences. Maybe even have a mini-lecture ready to demonstrate your approach!
✨Highlight Your Experience
Be ready to talk about your previous teaching roles and any relevant industry experience. Discuss specific projects or modules you've developed, especially those that involved innovative approaches to online education. This will help them see how you can contribute to their new MSc programme.
✨Emphasise Diversity and Inclusion
Since they value equality, diversity, and inclusion, be prepared to discuss how you can contribute to these values in your teaching. Share any experiences you have in creating inclusive learning environments or working with diverse student groups.