Job Title: Associate Lecturer in Computer Science with Artificial Intelligence
Department: Academic Operations
Location: London, Canary Wharf
Contract Type: Fixed Term until 31 January 2027
Hours: Variable Hours
Hourly Rate: £27.20-£32.30. Consolidated rate for Cat 1 inc holiday pay: £66.00 to £78.39
About The Role
The University of Sunderland in London is seeking an enthusiastic and industry-engaged Associate Lecturer to contribute to the delivery of our innovative BSc (Hons) and MSc Computer Science with Artificial Intelligence programmes. This is an exciting opportunity to teach within a modern curriculum that combines computer science, artificial intelligence, software engineering, cloud computing, machine learning and responsible digital innovation. Our programmes are delivered predominantly through face-to-face teaching in London and emphasise practical, project-based learning and authentic assessment.
You will deliver high-quality teaching and learning across undergraduate and postgraduate modules. You will facilitate lectures, workshops and laboratory sessions, support students’ academic development, assess coursework and contribute to an inclusive and engaging learning environment.
Teaching opportunities are available across a range of subject areas including:
Programming and Software Development (Python, Java, Object-Oriented Programming)
Algorithms, Data Structures and Computational Thinking
Mathematics for Computing and Data Science
Database Systems and Big Data Technologies
Software Engineering and System Architecture
Cloud Computing and Distributed Systems
Artificial Intelligence and Intelligent Systems
Machine Learning and Deep Learning
Natural Language Processing
Responsible AI, Ethics and Human-Centred Computing
Capstone AI Innovation Projects
Professional Practice, Agile Development and Emerging Technologies
Key Responsibilities
Deliver engaging lectures, workshops and practical laboratory sessions.
Support students through academic guidance, feedback and personal development.
Design and assess authentic coursework including software artefacts, technical reports, presentations and portfolios.
Supervise undergraduate and postgraduate capstone projects during workshops.
Embed inclusive teaching practices and promote student success.
Maintain academic standards in line with the university and QAA Quality Assurance expectations.
Contribute to curriculum enhancement and continuous quality improvement.
Integrate contemporary industry tools, cloud platforms and AI technologies into learning activities.
About Our Programmes
Our BSc (Hons) Computer Science with Artificial Intelligence programme takes students from foundational computing concepts to advanced AI applications. Students gain expertise in programming, algorithms, software engineering, databases, machine learning, deep learning, and cloud-based AI deployment, culminating in a substantial Capstone AI Innovation Project.
The MSc Computer Science with Artificial Intelligence develops advanced technical and professional capabilities through practice-oriented learning. Students build scalable software systems, develop intelligent AI solutions, work with cloud and big data technologies and complete an industry-relevant capstone project. All modules are assessed through coursework rather than traditional examinations, reflecting authentic professional practice.
Essential Requirements
A postgraduate qualification (Master’s or PhD) in Computer Science, Artificial Intelligence, Data Science, Software Engineering or a closely related discipline.
Demonstrable expertise in one or more of the subject areas listed above.
Experience with tools such as Python, Java, TensorFlow, PyTorch, SQL, Docker, Kubernetes, Git and cloud platforms (AWS, Azure or GCP).
Experience of teaching, training or mentoring in higher education or professional settings.
Excellent communication and interpersonal skills.
Experience of designing or assessing practical computing assignments.
A commitment to equality, diversity and inclusive education.
Desirable
Fellowship of Advance HE (or willingness to work towards it).
Industry experience in software development, AI, cloud computing or data engineering.
Knowledge of Agile methodologies and DevOps practices.
Experience in supervising capstone projects.
We reserve the right to close this vacancy earlier than the advertised closing date.
For an informal discussion, contact: Dr Yahaya Alhassan, Head of Academic Operations via
[email protected]
Job Details
Department
University of Sunderland in London - Academic Operations
Location
University of Sunderland in London
Hours per Week
Variable
Closing Date
Thursday 10 September 2026
Interview Date
To be confirmed
Reference
USL819
