Graduate Teaching Assistant - Computing

About the Job

Fixed Term - 2 years

0.5FTE - 18.5 hours per week

Interview Date: 08 December 2025

Please note that employment in the post of Graduate Teaching Assistant is contingent on the continuation of PhD study

This is a combined teaching and research post for a Graduate Teaching Assistant (GTA) in Computing, based within the Faculty of Education, Arts, Science and Technology at the University of Northampton. The post offers the opportunity to contribute to undergraduate teaching while undertaking a part-time, funded PhD entitled “Design and Evaluation of a Tutor-Configurable Intelligent Feedback Platform for Computing Education.”

The successful candidate will support the delivery of teaching and learning across a range of Computing modules, including programming, software development, and related areas. Responsibilities will include running lab sessions, supporting student learning through tutorials, assisting with marking and feedback, and contributing to an inclusive and engaging learning environment.

Alongside these teaching responsibilities, the postholder will conduct doctoral research on the development and evaluation of an AI-driven, tutor-configurable feedback platform designed to enhance the quality, efficiency, and personalisation of feedback in Computing education.

This is a part-time fixed-term appointment for an initial period of up to two years, subject to potential extension to coincide with the four-year duration of the part-time PhD programme. The post normally requires two to three days per week during term time, with flexibility around research commitments and academic calendars.

The post offers full coverage of PhD tuition fees and a GTA salary, along with access to research training, supervision, and opportunities to publish and present research at academic conferences.

About You

You hold a good honours degree (2:1 or above) in Computing, Computer Science or a related discipline, with programming skills in languages such as Python, Java or C#. You have a genuine interest in artificial intelligence, intelligent tutoring systems and digital learning technologies. Excellent communication, teamwork and organisational skills are essential, and the ability to balance teaching and doctoral research. Experience with machine learning, large language models, automated feedback tools or learning analytics would be an advantage, and prior teaching, tutoring or mentoring experience in higher education.

Qualifications

Essential;

• An honours degree (2:1 or higher) in Computing, Computer Science, or a related discipline

Desirable;

• Master’s degree in computing or a related discipline

Faculty of Education, Arts, Science and Technology

The post sits in the Faculty of Education, Arts, Science and Technology (FEAST), the School of Technology, bringing together expertise in Computing, Engineering, and Games. The School delivers industry-focused, research-informed programmes, preparing students for future careers in technology and innovation. With links to employers and a commitment to inclusive, practice-based learning, the School integrates digital innovation, sustainability, and employability across its curriculum. Our staff are active researchers and educators advancing knowledge in AI, data science, and technology-enhanced education.

Right to work

All candidates will be asked to provide proof of eligibility to work in the UK at interview.

Due to the requirements laid out by UK Visas and Immigration regarding Right to Work in the UK, the University can only accept applications from individuals who currently have a status allowing them to work in the UK for this position. Due to this criteria we regret that we are unable to offer sponsorship at this time.

Equality

We welcome applications from individuals from underrepresented groups.

Please apply via the ‘Apply’ button above.

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