Learning Lab Learning Developer (AI focus)

Learning Lab Learning Developer (AI focus)

Temporary 43959 - 52128 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and deliver engaging workshops on generative AI tools for student learning.
  • Company: Join the Learning Lab at LSE, a hub for student development.
  • Benefits: Enjoy flexible hours, generous leave, hybrid working, and excellent training opportunities.
  • Why this job: Make a real impact by helping students harness AI for their academic success.
  • Qualifications: Experience with generative AI tools and teaching university students is essential.
  • Other info: Be part of a dynamic team in a changing educational landscape.

The predicted salary is between 43959 - 52128 £ per year.

This is a fixed term appointment until 31st July 2028. The Learning Lab, located within the Student Learning and Personal Development (SLPD) division at LSE, provides one-to-one appointments, group workshops, and learning resources aimed at helping students develop the skills they need to get the most from their studies and reach their academic goals.

The Learning Lab is now looking to recruit a learning developer who will support students in the development of academic and study-related skills with a specific (but not exclusive) focus and expertise on using generative AI tools to support and enhance student learning. Reflecting the culture of the SLPD division, we are looking for someone who is enthusiastic and flexible and prepared to adapt to a changing environment.

The post holder will work with undergraduate and master’s students across all discipline areas and be expected to engage in the following tasks:

  • Design and deliver a range of learning development activities, such as workshops within the Learning Lab curriculum and asynchronous and synchronous materials.
  • Liaise with academic departments to identify, design and deliver innovative sessions using generative AI that can help students understand how to use these tools in their disciplinary learning and contribute to the success of LSE’s Education and Student Experience strategy, both centrally and at departmental level.

Candidates should have:

  • Experience of using generative AI tools effectively across academic contexts and disciplines (e.g. in areas that might include writing, research, calculation, coding, quantitative and/or qualitative data analysis) with demonstrated understanding of their capabilities, limitations, and ethical implications.
  • Experience of teaching university students to evaluate and use generative AI tools critically, responsibly and ethically, and of helping them to make informed decisions about when, where, why, and how to use these tools in their academic work, with a focus on key skills (e.g. academic reading, writing, exam preparation).
  • Experience of designing and delivering asynchronous and synchronous practical workshops, one-to-one support, and resources that help students apply generative AI tools to specific academic tasks (e.g. literature reviews, data analysis, proposing/designing research) in higher education.
  • Experience of supporting students at different stages of AI literacy and across varied disciplines - from initial exploration to sophisticated, context-appropriate integration into their learning practices.
  • Sound understanding of contemporary challenges in higher education including AI literacy, authentic assessment and evolving academic practice.

Please note that hours of work will need to be flexible and may include some evenings and weekends. We offer an occupational pension scheme, generous annual leave, hybrid working, and excellent training and development opportunities.

If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email learninglab@lse.ac.uk. The closing date for receipt of applications is 11th January 2025 (23.59 UK time). Regrettably, we are unable to accept any late applications.

Learning Lab Learning Developer (AI focus) employer: LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE

The Learning Lab at LSE is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. With a strong commitment to employee development, we provide generous training opportunities and a supportive culture that values flexibility and adaptability. Located in the heart of London, our team enjoys a competitive salary, excellent benefits including an occupational pension scheme, and the chance to make a meaningful impact on students' academic journeys through the integration of cutting-edge generative AI tools.
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Contact Detail:

LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Learning Lab Learning Developer (AI focus)

Tip Number 1

Network like a pro! Reach out to current or former employees at LSE, especially those in the Learning Lab. A friendly chat can give us insider info on what they value in candidates and might even lead to a referral.

Tip Number 2

Show off your skills! Prepare a mini portfolio showcasing your experience with generative AI tools. Include examples of workshops or sessions you've designed, as this will help us see how you can contribute to the Learning Lab.

Tip Number 3

Practice makes perfect! Get ready for the interview by rehearsing answers to common questions about teaching and using AI in education. We want to see your enthusiasm and flexibility shine through!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re serious about joining the team at the Learning Lab.

We think you need these skills to ace Learning Lab Learning Developer (AI focus)

Generative AI Tools
Academic Writing
Research Skills
Data Analysis
Workshop Design and Delivery
One-to-One Support
Critical Evaluation
Ethical Implications of AI
Adaptability
Understanding of Higher Education Challenges
Communication Skills
Student Engagement
Curriculum Development
Flexibility

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your application to highlight your experience with generative AI tools. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant expertise!

Show Your Enthusiasm: Let your passion for supporting students shine through in your written application. We’re looking for someone who’s not just qualified but also genuinely excited about helping others develop their academic skills.

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your writing is easy to follow and highlights your key achievements without unnecessary fluff.

Apply Through Our Website: Don’t forget to submit your application via our website! It’s the best way to ensure it gets to us directly, and you’ll find all the necessary details there to guide you through the process.

How to prepare for a job interview at LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE

Know Your AI Tools

Make sure you’re well-versed in generative AI tools and their applications in academic contexts. Be ready to discuss specific examples of how you've used these tools effectively, and think about the ethical implications too. This will show your understanding and readiness to support students.

Showcase Your Teaching Experience

Prepare to talk about your experience in designing and delivering workshops or one-to-one support. Highlight any innovative sessions you've created that helped students grasp complex concepts, especially using AI. This will demonstrate your ability to engage and adapt to different learning styles.

Understand the Student Perspective

Think about the challenges students face with AI literacy and how you can help them navigate these. Be prepared to share strategies for supporting students at various stages of their learning journey, from initial exploration to advanced integration of AI tools.

Embrace Flexibility

Since the role requires flexibility in hours, be ready to discuss your availability and willingness to adapt to changing needs. Show enthusiasm for working evenings or weekends if necessary, as this reflects your commitment to student success and the dynamic environment of the Learning Lab.

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