£71 Per hour
Undetermined
Undetermined
Leeds, West Yorkshire
Summary: The University of Law is seeking a Visiting Lecturer to contribute to the development of innovative postgraduate programmes in Artificial Intelligence, Data Science, and Cybersecurity. This role involves designing curriculum and collaborating with academic leaders to ensure the programmes meet industry and academic standards. The position is set to commence on 5th May 2026 and will continue until the end of the academic year.
Key Responsibilities:
- Design and develop programme documentation including programme specifications, module descriptors and module guides.
- Contribute to the development of MSc programmes in Data Science, Artificial Intelligence, Computing, and Cybersecurity.
- Collaborate with the Head of Computer Science and academic colleagues for coherent programme design.
- Apply subject expertise to ensure content reflects current industry trends and academic best practices.
Key Skills:
- Expertise in Artificial Intelligence and/or Cybersecurity and Computing.
- Experience in machine learning, deep learning, large language models, big data, data analytics, digital forensics, ethical hacking, and network security.
- Experience in developing higher education curriculum or programme documentation.
- Strong written communication skills for producing clear academic content.
- Ability to work collaboratively with academic stakeholders.
Salary (Rate): £71.39 hourly
City: Leeds
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Education
At The University of Law, we are expanding our Computer Science portfolio and are looking for a Visiting Lecturer to play a key role in designing innovative postgraduate programmes in Artificial Intelligence, Data Science and Cybersecurity.
This is a unique opportunity to influence the structure and content of new MSc programmes, working closely with senior academic leaders to create engaging, industry-relevant curriculum that supports student success. Your work will underpin the student experience and ensure our programmes meet both academic and industry standards.
This role will start from the 5th May 2026 until the end of the Academic Year.
As our Visiting Lecturer, you will:
- Design and develop programme documentation including programme specifications, module descriptors and module guides
- Contribute to the development of the following programmes:
- MSc Data Science and Artificial Intelligence
- MSc Data Science and Artificial Intelligence with Academic and Professional Practice
- MSc Computing and Artificial Intelligence
- MSc Computing and Cybersecurity
- Collaborate with the Head of Computer Science and wider academic colleagues to ensure high-quality, coherent programme design
- Apply subject expertise to ensure content reflects current industry trends and academic best practice
Is this you?
This role would suit an experienced academic or industry professional with strong subject expertise and a passion for curriculum development. Here’s what we’re looking for:
- Expertise in Artificial Intelligence and/or Cybersecurity and Computing, including areas such as:
- Machine learning, deep learning, large language models, big data and data analytics
- Cybersecurity, digital forensics, ethical hacking, network security (offensive and defensive)
- Experience in developing higher education curriculum or programme documentation
- Strong written communication skills with the ability to produce clear, structured academic content
- Ability to work collaboratively with academic stakeholders
The hourly rate for this role is up to £71.39 per hour for teaching, inclusive of preparation, associated marking and responding to student queries. Please note that any design work has a separate daily rate.
For the full Job Description click here
Why join us?
This is an opportunity to contribute to the creation of forward-thinking programmes in a fast-evolving field. You’ll work alongside supportive academic colleagues and play a meaningful role in shaping future student learning experiences.
Our Approach
We are committed to ensuring our workforce is reflective of our diverse student population, striving to increase the representation of age, disability, gender identity and expression, religion, race, sex, sexual orientation, and socio-economic background of our employees.
We’re also committed to providing adjustments to those who may require support with the recruitment process - please contact the ULaw Talent Acquisition Team at.
Please note: For this opportunity, you must be able to prove you have the right to work in the UK. Please note we are not a licensed sponsor.