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- Tasks: Teach and develop exciting postgraduate courses in Data Science and AI.
- Company: Join a forward-thinking university focused on innovative computing education.
- Benefits: Enjoy a flexible 0.6 FTE role with competitive salary and professional development opportunities.
- Why this job: Be part of a creative team shaping the future of tech education and empowering students.
- Qualifications: Expertise in Data Science and AI, with teaching experience preferred.
- Other info: Work collaboratively with diverse stakeholders and promote inclusivity in education.
The predicted salary is between 22949 - 33453 £ per year.
We are looking for a Lecturer or Senior Lecturer to contribute to the development and delivery of our exciting new taught postgraduate courses in computing. The three Masters awards in this area, which are located with the Computer Arts and Technology Programme, are MSc Games Computing, MA Creative Computing and, the focus of this post, MSc Data Science and AI for the Creative Industries.
The postholder will work closely with the Programme Director and Course Leader, Computing to develop course content and design a high-quality student experience. The role includes recruitment and outreach work, and teaching within and beyond the programme at both postgraduate and undergraduate level. You will be an expert in Data Science and AI and an inspiring and innovative teacher. Ideally, you will have experience of contributing to the design and delivery of a taught postgraduate award.
You will have knowledge of developments in the sector and experience in developing networks between education and industry. Through ongoing research, knowledge exchange and professional practice, the post-holder will ensure currency and relevance of the subject area and contribute to the external profile of the university.
The successful applicant will be an excellent teacher who puts inclusivity at the heart of their practice. You will be an advocate for your discipline, promoting the courses to prospective students and teachers, both at home and internationally. You will have the ability to work closely with a variety of internal and external stakeholders, bringing diverse voices into our student experience and ensuring the support we give our students is culturally competent. You will have the ambition to equip students with the social and cultural capital that will allow them to confidently grasp relevant opportunities and challenges.
You will be able to demonstrate currency in your industry experience and/or research practice. You will be a strong team player able to demonstrate excellent skills in team-working, organisation and management. The role requires a collaborative and pro-active approach to working with a range of stakeholders and delivering outcomes.
Working hours: 21 Hours per week for 52 weeks per year
Salary:
- Lecturer £22,949 to £27,247 per annum Pro-rated from a full-time equivalent salary of £38,249 to £45,413 per annum
- Senior Lecturer £28,041 to £33,453 per annum Pro-rated from a full-time equivalent salary of £46,735 to £55,755 per annum
Closing date for applications: 16th July 2025 at 5pm.
Interview date: 12th August 2025
Contact Detail:
Norwich University of the Arts Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer/Senior Lecturer: Data Science & AI (0.6 FTE)
✨Tip Number 1
Network with professionals in the Data Science and AI field. Attend industry conferences, workshops, or webinars to meet potential colleagues and collaborators. This can help you gain insights into the latest trends and developments, which will be beneficial during your interview.
✨Tip Number 2
Familiarise yourself with the specific postgraduate courses offered by the university. Understanding the curriculum and the unique aspects of the MSc Data Science and AI for the Creative Industries will allow you to tailor your discussions and demonstrate your enthusiasm for the role.
✨Tip Number 3
Prepare examples of your teaching philosophy and experiences that highlight inclusivity and innovation. Be ready to discuss how you can contribute to a high-quality student experience and engage diverse voices in your teaching.
✨Tip Number 4
Research the university's current partnerships with industry and other educational institutions. Being knowledgeable about these connections can help you articulate how you would enhance these relationships and contribute to the programme's outreach efforts.
We think you need these skills to ace Lecturer/Senior Lecturer: Data Science & AI (0.6 FTE)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in Data Science and AI, as well as your teaching experience. Emphasise any relevant postgraduate course design and delivery experience to align with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for teaching and your commitment to inclusivity. Mention specific examples of how you've engaged with students and contributed to their learning experiences in the past.
Showcase Industry Connections: Highlight any networks you have developed between education and industry. This could include collaborations, guest lectures, or partnerships that enhance the student experience and keep the curriculum relevant.
Prepare for the Interview: If selected for an interview, be ready to discuss your teaching philosophy and how you plan to contribute to the development of the MSc Data Science and AI programme. Think about how you can bring diverse perspectives into the classroom.
How to prepare for a job interview at Norwich University of the Arts
✨Showcase Your Teaching Philosophy
Be prepared to discuss your teaching philosophy and how you incorporate inclusivity into your practice. Highlight specific examples of how you've engaged diverse student groups in the past.
✨Demonstrate Industry Knowledge
Stay updated on the latest trends in Data Science and AI, especially as they relate to the creative industries. Be ready to discuss how your industry experience informs your teaching and course design.
✨Engage with Course Development
Think about innovative ideas for course content and delivery that you could bring to the role. Be ready to share your vision for developing high-quality student experiences in the MSc Data Science and AI programme.
✨Prepare for Collaborative Scenarios
Since the role involves working with various stakeholders, prepare examples of successful collaborations from your past. Discuss how you approach teamwork and manage relationships with both internal and external partners.
