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- Tasks: Teach undergraduate modules in Computing and Data Tech during evenings and weekends.
- Company: Leading educational institution focused on student success and innovation.
- Benefits: Competitive salary of £55,000, employee perks, and professional development opportunities.
- Why this job: Inspire the next generation of tech leaders while enjoying a flexible schedule.
- Qualifications: Master's degree and experience in UK higher education required.
- Other info: Join a supportive community dedicated to your growth and well-being.
The predicted salary is between 33000 - 77000 £ per year.
A leading educational institution is seeking a Lecturer in Computing to teach undergraduate modules. The role requires flexibility in scheduling classes. Candidates must have a Master's degree and experience in UK higher education.
Responsibilities include:
- Preparing course materials
- Delivering lectures
- Assessing student work
This job offers a competitive salary of £55,000 and various employee perks that promote well-being and professional development.
Lecturer in Computing & Data Tech (Evenings/Weekends) in London employer: Description This
Contact Detail:
Description This Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer in Computing & Data Tech (Evenings/Weekends) in London
✨Tip Number 1
Network like a pro! Reach out to fellow educators and professionals in the field. Attend events or webinars related to Computing and Data Tech to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your teaching style! If you have a chance, create a short video or presentation showcasing your approach to delivering lectures. This can really help you stand out from the crowd.
✨Tip Number 3
Flexibility is key! Highlight your availability for evening and weekend classes in your conversations. This shows you're ready to meet the institution's needs and makes you a more attractive candidate.
✨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 Computing & Data Tech (Evenings/Weekends) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in UK higher education and your Master’s degree. We want to see how your background aligns with the role, so don’t be shy about showcasing your teaching experience and any innovative approaches you've used in the classroom.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about teaching Computing and Data Tech. We love seeing candidates who can connect their personal experiences to the role, so share your journey and what makes you a great fit for our institution.
Showcase Your Flexibility: Since this role involves evening and weekend classes, make sure to mention your availability and willingness to adapt your schedule. We appreciate candidates who are flexible and can meet the needs of our students, so let us know how you can contribute!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Description This
✨Know Your Stuff
Make sure you’re well-versed in the latest trends and technologies in Computing and Data Tech. Brush up on your subject knowledge, especially any modules you might be teaching. This will not only help you answer questions confidently but also show your passion for the field.
✨Flexibility is Key
Since the role requires flexibility in scheduling classes, be prepared to discuss your availability openly. Think about how you can accommodate evening and weekend classes and be ready to share your thoughts on managing work-life balance while fulfilling these requirements.
✨Prepare Engaging Course Materials
Think about how you would prepare course materials and deliver lectures. Bring examples of past materials or ideas for new ones to the interview. This shows that you’re proactive and have a clear vision for how to engage students effectively.
✨Assessing Student Work
Be ready to talk about your approach to assessing student work. Consider discussing different assessment methods you’ve used in the past and how you ensure fairness and encourage student development. This will demonstrate your commitment to student success and educational standards.
