Graduate Teaching Assistant - Computing
| Posting date: | 10 November 2025 |
|---|---|
| Salary: | £32,080 to £38,784 per year, pro rata |
| Hours: | Part time |
| Closing date: | 24 November 2025 |
| Location: | Northampton, Northamptonshire |
| Remote working: | On-site only |
| Company: | University of Northampton |
| Job type: | Temporary |
| Job reference: | UN5413 |
Summary
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.
We want you to be able to carry out your work in a way that best supports UON and our students, but also you as an individual. We understand this may vary between different areas of the university as well as from one person to another. With Smarter Working you can work with increased flexibility, if you would like to, which can facilitate greater freedom and autonomy.
About You
You will 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 will have a genuine interest in artificial intelligence, intelligent tutoring systems and digital learning technologies. Excellent communication, teamwork and organisational skills are essential, as is 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, as would 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 within the Faculty of Education, Arts, Science and Technology (FEAST), in the School of Technology, which brings together expertise in Computing, Engineering, and Games. The School delivers industry-focused, research-informed programmes that prepare 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.
About Us
At the University of Northampton, we are committed to supporting aspirations, creating opportunities, and delivering meaningful impact. Our people are at the heart of everything we do, and we foster a progressive, inclusive environment where excellence thrives for our students and staff.
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.
The University of Northampton is committed to providing a vibrant, ethical, and sustainable environment that values equality, diversity, and inclusion. Our commitment ensures an inclusive atmosphere for staff, students, and the public. We manage equality and diversity through key committees and formal policies, extending our responsibility to subsidiary companies and partnerships.
Together @ UON
Our Commitment to Equality and Inclusion
Together @ UON affirms our dedication to creating an environment that celebrates diversity and promotes equality. We aim to foster a space where all can thrive, aligning with our mission to transform lives and inspire change.
Commitments Include:
1. Creating an Inclusive Environment: Adopting a zero-tolerance approach to discrimination and ensuring all activities are inclusive.
2. Supporting Students and Staff: Strengthening mental health support, enhancing disability confidence, and ensuring academic and professional support.
3. Tackling Inequalities: Involving students in recruitment, integrating forums for equality data analysis, and supporting networks for protected characteristics.
UON’s Major Commitments:
- Disability Confident
- Standalone Pledge
- IHRA Working Definition
For more details, visit: Equality and Diversity at UON
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.
We want you to be able to carry out your work in a way that best supports UON and our students, but also you as an individual. We understand this may vary between different areas of the university as well as from one person to another. With Smarter Working you can work with increased flexibility, if you would like to, which can facilitate greater freedom and autonomy.
About You
You will 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 will have a genuine interest in artificial intelligence, intelligent tutoring systems and digital learning technologies. Excellent communication, teamwork and organisational skills are essential, as is 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, as would 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 within the Faculty of Education, Arts, Science and Technology (FEAST), in the School of Technology, which brings together expertise in Computing, Engineering, and Games. The School delivers industry-focused, research-informed programmes that prepare 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.
About Us
At the University of Northampton, we are committed to supporting aspirations, creating opportunities, and delivering meaningful impact. Our people are at the heart of everything we do, and we foster a progressive, inclusive environment where excellence thrives for our students and staff.
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.
The University of Northampton is committed to providing a vibrant, ethical, and sustainable environment that values equality, diversity, and inclusion. Our commitment ensures an inclusive atmosphere for staff, students, and the public. We manage equality and diversity through key committees and formal policies, extending our responsibility to subsidiary companies and partnerships.
Together @ UON
Our Commitment to Equality and Inclusion
Together @ UON affirms our dedication to creating an environment that celebrates diversity and promotes equality. We aim to foster a space where all can thrive, aligning with our mission to transform lives and inspire change.
Commitments Include:
1. Creating an Inclusive Environment: Adopting a zero-tolerance approach to discrimination and ensuring all activities are inclusive.
2. Supporting Students and Staff: Strengthening mental health support, enhancing disability confidence, and ensuring academic and professional support.
3. Tackling Inequalities: Involving students in recruitment, integrating forums for equality data analysis, and supporting networks for protected characteristics.
UON’s Major Commitments:
- Disability Confident
- Standalone Pledge
- IHRA Working Definition
For more details, visit: Equality and Diversity at UON
Proud member of the Disability Confident employer scheme
Disability Confident
About Disability Confident
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to Disability Confident.