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- Tasks: Shape the future of education by developing and delivering AI modules.
- Company: Join MK:U, a pioneering higher education provider in Milton Keynes.
- Benefits: Flexible working options, professional development, and a supportive community.
- Why this job: Make AI education exciting and relevant for the digital economy.
- Qualifications: Advanced degree in AI or related fields and teaching experience.
- Other info: Collaborative environment with opportunities for innovation and career growth.
The predicted salary is between 36000 - 60000 £ per year.
This role is an opportunity to help us shape the future of education and fill the skills gap. The successful applicants will divide their time between developing and delivering modules on MK:U courses using our distinctive Problem-Based Learning approach (we'll provide training for you), and designing the new apprenticeship.
You will have knowledge of a subject matter related to AI, Machine Learning and/or Data Science, most likely in two or more of the following subject areas:
- Artificial intelligence - both technical understanding and user application aspects
- Machine Learning
- Deep Learning and Neural Networks
- Big Data and Visualisation
- Cloud Computing, particularly in relation to AWS
We are seeking people to join the team who are as passionate as we are about AI skills in the digital era and who believe, as we do, that we need a lot more people who can bring these skills to the workplace. As educators, our job is to make AI, and related topics, attractive and exciting to study as well as making sure it's relevant and applicable to the jobs of today and of the future.
You will be excited about making education relevant to the digital economy and gripped by the challenge of making it understandable and fun to study. You will prize teamwork and value your colleagues' skills and knowledge. You will be interested in how problem-based learning can be used to ensure that education is relevant to the workplace and open to the idea that we can blur the boundary between 'work' and 'education' because learning takes place in both contexts. You will be motivated by helping your students to succeed in their careers.
You will either have undergraduate or postgraduate education delivery experience in the above subjects. You will have an advanced degree in the broad subject area (Masters or above) and will either hold or be working towards a qualification in education (e.g. a Postgraduate certificate or AdvanceHE recognition). You will have evidence of educational innovation and, ideally, of course management, either as course lead or deputy.
To be successful in this role you will be comfortable with change, willing to work flexibly, and open to new ways of doing things. Importantly, you will be able to collaborate with and influence people and build relationships quickly, and you will be eager to play a full role in the fast-moving and exciting MK:U project.
About MK:U
MK:U is an exciting new addition to the Cranfield University educational family; a new model higher education provider for Milton Keynes, designed to meet urgent technological and skills needs. MK:U's education is designed with and for business to fill growing skills gaps in the digital economy.
Values and Commitments
Cranefield's shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are also committed to actively exploring flexible working options for each role.
Lecturer in Artificial Intelligence in Cranfield employer: Cranfield University.
Contact Detail:
Cranfield University. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer in Artificial Intelligence in Cranfield
✨Tip Number 1
Network like a pro! Reach out to people in the AI and education sectors on LinkedIn or at events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your passion! When you get the chance to chat with potential employers, make sure to express your enthusiasm for AI and education. Share your ideas on how to make learning exciting and relevant – it’ll set you apart!
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and teaching methods. Think about how you can incorporate problem-based learning into your responses. We want to see your innovative side!
✨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, it shows you’re genuinely interested in being part of our mission at MK:U.
We think you need these skills to ace Lecturer in Artificial Intelligence in Cranfield
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and education shine through. We want to see how excited you are about shaping the future of learning and making complex topics accessible and fun!
Tailor Your Experience: Make sure to highlight your relevant experience in AI, Machine Learning, or Data Science. We’re looking for specific examples that demonstrate your knowledge and how you've applied it in educational settings.
Emphasise Teamwork: Since we value collaboration, share instances where you’ve worked effectively in a team. Show us how you’ve contributed to group projects or supported colleagues in achieving common goals.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at MK:U.
How to prepare for a job interview at Cranfield University.
✨Know Your Stuff
Make sure you brush up on your knowledge of AI, Machine Learning, and Data Science. Be ready to discuss specific projects or experiences you've had in these areas, especially how they relate to problem-based learning. This will show your passion and expertise.
✨Show Your Teaching Style
Prepare to share your approach to education and how you make complex topics engaging and relevant. Think about examples where you've successfully made learning fun and applicable to real-world scenarios, as this aligns with the role's focus on making education exciting.
✨Emphasise Teamwork
Since collaboration is key in this role, be ready to talk about your experiences working in teams. Highlight how you've built relationships and influenced others in educational settings, showcasing your ability to work flexibly and adapt to change.
✨Align with Their Values
Familiarise yourself with MK:U's values of Ambition, Impact, Respect, and Community. During the interview, weave these values into your responses to demonstrate that you're not just a fit for the role, but also for their culture and mission.
