At a Glance
- Tasks: Develop and deliver engaging AI courses that inspire students to excel.
- Company: Manchester Metropolitan University, a leader in innovative education since 1824.
- Benefits: Ongoing professional development, supportive culture, and clear progression pathways.
- Other info: Flexible working arrangements and a commitment to inclusivity and diversity.
- Why this job: Join a pioneering institution and shape the future of AI education.
- Qualifications: PhD in Computer Science or related field with relevant teaching experience.
The predicted salary is between 40000 - 55000 £ per year.
Manchester Metropolitan University has been a pioneer of modern education since its origins in 1824. Our ethos is to be highly innovative in teaching, and we are recognised as the sector leader in Degree Apprenticeships, where we deliver the award-winning Digital and Technology Solutions programme in collaboration with a wide range of company partners.
The University is making substantial investments in the Department of Computing and Mathematics with multiple Lecturer and Senior Lecturer appointments over the next calendar year. The department now seeks experienced individuals who have a track record of implementing innovative teaching practices that have had an impact that can be evidenced, such as student satisfaction rates, and student employability rates.
Our Commitment to You
- Ongoing professional development (technical and teaching)
- A supportive and collaborative working culture
- Structured pathways to progression from Lecturer to Professor through our Education, Pedagogy, and Citizenship (EPC) pathway.
About the Role
You will develop and deliver high-quality courses at all levels (L3-L7), including degree apprenticeships, which engage students and challenge them to achieve their best performance. You will champion the student experience and incorporate teaching innovations from industry and the global education sector.
About You
You will be a passionate student-focused subject expert with a track record of high-quality teaching, which will have been gained in higher education, further education or a commercial context. You will have developed your subject knowledge in the field through academia or industrial experience, which you will be passionate about sharing with students through developing and delivering courses that will inspire the students and provide them with the knowledge and skills to work in the industry. You will have the knowledge and skills to deliver units confidently from the foundation year to postgraduate.
Teaching Areas
- Data Analysis & Visualization
- Machine Learning
- Deep Learning & Neural Networks
- Natural Language Processing (NLP)
- Computer Vision
- Data Engineering
- AI Ethics, Governance & Responsible AI
You will be expected to have relevant teaching experience and a PhD in Computer Science or a related discipline. You will be a strong collegiate team player who can inspire and motivate student and staff communities through your contributions, collaboration, and co-creation.
Application & Assessment
To apply, please submit a CV and cover letter outlining how your profile, experience and ambition make you an ideal candidate for the role. We will be shortlisting and conducting interviews for this vacancy iteratively throughout the advertising period. We therefore encourage applicants to apply for this vacancy when ready to do so to ensure your application is reviewed at the most appropriate time.
Should you be successful, our interview process for this vacancy will be a 2-stage process.
- Stage 1 – Panel interview and presentation delivery, chaired by the Head of or Deputy Head of Department of Computing and Mathematics. Stage 1 interviews are expected to be scheduled in the w/c 20 July, 03 August, 17 August and 14 September.
- Stage 2 – Interview with Mark Sterling, Faculty Pro Vice Chancellor and Professor Darren Dancey, Head of Department of Computing and Mathematics. Stage 2 interviews are expected to be scheduled in the w/c 27 July, 24 August and 21 September.
For an informal chat about the role, contact Professor Darren Dancey, Head of Department.
Further information: Manchester Metropolitan University fosters an inclusive culture of belonging that promotes equity and celebrates diversity. We value a diverse workforce for the innovation and diversity of thought it brings and welcome applications from local and international communities, including those from Black, Asian, and Minority Ethnic backgrounds, disabled people, and LGBTQ+ individuals.
We support a range of flexible working arrangements, including hybrid and tailored schedules, which can be discussed with your line manager. If you require reasonable adjustments during the recruitment process or in your role, please let us know so we can provide appropriate support.
Our commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development opportunities to empower and support underrepresented groups. Manchester Met is a Disability Confident Leader and, under this scheme, aims to offer an interview to disabled people who apply for the role and meet the essential criteria as listed in the attached Job Description for that vacancy.
Lecturer / Senior Lecturer in Artificial Intelligence for Academic Experts in Manchester employer: Manchester Metropolitan University
Manchester Metropolitan University is an exceptional employer, renowned for its innovative teaching practices and commitment to student success. With substantial investments in the Department of Computing and Mathematics, employees benefit from ongoing professional development, a supportive work culture, and structured pathways for career progression, all within a vibrant and diverse community in the heart of Manchester.
Contact Details:
Manchester Metropolitan University Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lecturer / Senior Lecturer in Artificial Intelligence for Academic Experts in Manchester
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We think you need these skills to ace Lecturer / Senior Lecturer in Artificial Intelligence for Academic Experts in Manchester
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