Lecturer in Computing (HE) (Data Science and AI) in Birmingham
Lecturer in Computing (HE) (Data Science and AI)

Lecturer in Computing (HE) (Data Science and AI) in Birmingham

Birmingham Full-Time 38784 - 43482 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Inspire students by teaching Data Science and AI with a focus on practical skills.
  • Company: Join a thriving and inclusive Computing Department at University College Birmingham.
  • Benefits: Enjoy 38 days of annual leave, excellent pension, and subsidised healthcare.
  • Why this job: Shape the future of tech professionals and make a real impact in education.
  • Qualifications: Passion for teaching and expertise in Data Science and AI.
  • Other info: Access ongoing professional development and industry connections.

The predicted salary is between 38784 - 43482 £ per year.

Location: Birmingham

Salary: £38,784 - £43,482 per annum - AC2

Job type: Permanent, Full-time / Part-time

UCB is an equal opportunities employer. We are TEF rated Silver, with a Good Ofsted rating.

Overview

Ready to inspire the next generation of tech professionals? Join our growing Computing Department and play a key role in shaping the future of Higher Education. As a Lecturer, you'll deliver inspiring and inclusive teaching that supports all students in achieving their full potential. This role will focus on teaching a range of Data Science and AI related modules on our HE programmes, where you'll help shape and guide future leaders in the field. You will prioritise practical application and demonstration over theoretical instruction, ensuring students gain real-world skills and experience.

Responsibilities

  • Deliver inspiring and inclusive teaching across Data Science and AI modules on HE programmes.
  • Prioritise practical application and real-world skills in teaching.
  • Contribute to curriculum development and assessment.

Why University College Birmingham?

  • Growing Department: Be part of a team that's thriving and expanding each year.
  • Supportive & Inclusive: Join a collaborative, diverse environment.
  • Career Development: Access ongoing professional growth opportunities.
  • Industry Connections: Work with industry partners to bring real-world learning into the classroom.

Benefits

  • Generous allocation of annual leave 38 days' paid leave per year
  • 12 Bank Holidays & Concessionary Days
  • Excellent Teachers' Pension Scheme — Employer Contributions 28.6%
  • Subsidised private healthcare provided by Aviva including a Digital GP Service
  • Employee Assistance Programme inclusive of counselling, financial wellbeing support and bereavement support
  • Annual health MOTs with our Registered Nurse
  • Excellent staff development opportunities including professional qualification sponsorship
  • Salary sacrifice schemes including technology and cycle
  • Heavily-subsidised on-site car parking in central Birmingham
  • Free on-site gym membership

Extras

All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education.

Closing Date - Sunday 11th January 2026.

Interview Date - Tuesday 27th January 2026.

Please click APPLY to be redirected to our website to complete an application form. Candidates with experience or relevant job titles may also be considered for this role.

Lecturer in Computing (HE) (Data Science and AI) in Birmingham employer: Xebun.com

University College Birmingham is an exceptional employer, offering a supportive and inclusive work environment that prioritises the professional growth of its staff. With generous benefits such as 38 days of paid leave, a robust pension scheme, and access to ongoing development opportunities, employees are empowered to thrive in their careers while making a meaningful impact on the next generation of tech professionals in the heart of Birmingham.
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Contact Detail:

Xebun.com Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lecturer in Computing (HE) (Data Science and AI) in Birmingham

✨Tip Number 1

Network like a pro! Attend industry events, workshops, and meetups related to Data Science and AI. It's a great way to connect with potential employers and get your name out there.

✨Tip Number 2

Showcase your skills! Create a portfolio that highlights your projects and achievements in Data Science and AI. This will give you an edge during interviews and demonstrate your practical experience.

✨Tip Number 3

Prepare for interviews by researching the institution and its values. Tailor your responses to show how you can contribute to their mission of inspiring students and delivering inclusive teaching.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Lecturer in Computing (HE) (Data Science and AI) in Birmingham

Teaching Skills
Curriculum Development
Assessment Design
Data Science Knowledge
Artificial Intelligence Knowledge
Practical Application of Concepts
Inclusive Teaching Practices
Industry Collaboration
Communication Skills
Student Support
Professional Development
Real-World Learning Integration
Adaptability in Teaching Methods

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your application to highlight your experience in Data Science and AI. We want to see how your skills align with our mission to inspire the next generation of tech professionals.

Showcase Your Teaching Style: In your written application, give us a glimpse of your teaching philosophy. We’re all about practical application, so share examples of how you’ve engaged students in real-world learning.

Highlight Collaboration Skills: Since we value a supportive and inclusive environment, mention any experiences where you’ve worked collaboratively with colleagues or industry partners. This will show us you’re a great fit for our growing department.

Follow the Application Process: Don’t forget to apply through our website! It’s super easy, and we’ll be able to process your application more efficiently. Plus, it shows you’re serious about joining our team.

How to prepare for a job interview at Xebun.com

✨Know Your Stuff

Make sure you brush up on the latest trends in Data Science and AI. Familiarise yourself with key concepts, tools, and technologies that are relevant to the modules you'll be teaching. This will not only help you answer technical questions but also show your passion for the subject.

✨Showcase Your Teaching Style

Prepare to discuss your teaching philosophy and how you prioritise practical application in your lessons. Think of examples where you've successfully engaged students or adapted your teaching methods to meet diverse learning needs. This will demonstrate your commitment to inclusive education.

✨Connect with the Institution's Values

Research University College Birmingham and understand its mission and values. Be ready to explain how your approach to teaching aligns with their focus on inspiring and inclusive education. This shows that you're not just looking for a job, but that you genuinely want to contribute to their community.

✨Ask Thoughtful Questions

Prepare some insightful questions about the department's growth, curriculum development, and industry connections. This not only shows your interest in the role but also gives you a chance to assess if the institution is the right fit for you. Remember, interviews are a two-way street!

Lecturer in Computing (HE) (Data Science and AI) in Birmingham
Xebun.com
Location: Birmingham
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  • Lecturer in Computing (HE) (Data Science and AI) in Birmingham

    Birmingham
    Full-Time
    38784 - 43482 £ / year (est.)
  • X

    Xebun.com

    50-100
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