At a Glance
- Tasks: Support teaching and research while pursuing your PhD in a dynamic academic environment.
- Company: Join the University of Reading, a leader in innovative education and research.
- Benefits: Fully funded PhD, competitive salary, and training to enhance your teaching skills.
- Other info: Flexible working hours and a commitment to diversity and inclusion.
- Why this job: Shape the future of technology while gaining invaluable teaching experience.
- Qualifications: First-class or upper second-class degree in a relevant field and a passion for teaching.
The predicted salary is between 9159 - 9159 £ per year.
Part time, fixed term (Hours will vary dependent on the demand for teaching support at various times during the academic year but GTAs will not be expected to work more than 20 hours maximum per week).
Closing Date: 8 March at 23:59
Interview Date: To be confirmed
This role is not eligible for Skilled Worker visa sponsorship. The successful candidate(s) will have to ensure that they have the right to work in the UK or be able to secure this through another means without the sponsorship of the University.
Are you an ambitious computer scientist ready to help shape the digital technologies of tomorrow? At the University of Reading, we offer an exciting opportunity to launch your academic career by pursuing a PhD while gaining hands-on teaching experience through our Graduate Teaching Assistant (GTA) programme, combining cutting-edge research with real classroom impact.
Graduate Teaching Assistant (GTA) Positions:
- GTA positions offer an excellent opportunity to work while studying for a PhD.
- You will spend approximately one quarter of your time working as a teaching assistant, supporting laboratory sessions and other teaching activities.
- The remaining three quarters of your time will be dedicated to your PhD research within the department, where you will work closely with academic staff on pre-defined, cutting-edge problems across a range of computational science fields.
These positions are fully funded for UK Home students for four years and include a competitive combined salary and stipend package that exceeds the standard UKRI full-time PhD stipend. International students will receive a Home/ROI fee waiver and will be required to pay the remaining international fee difference (approximately £20,000 per year), subject to annual increases.
PhD Candidate Thematic Areas:
- Trustworthy and Responsible AI
- AI for Health
- AI for Environmental Science and Sustainability
- AI for Digital Humanities
- AI for Embedded / Edge Computing
As part of the application process candidates must select three themes from the list above and rank them in order of preference and include this in their covering letter.
Qualifications and Requirements:
- Meet the academic requirements for a PhD offer at the University of Reading.
- Hold a first-class or upper second-class degree (1st or 2:1) in Computer Science, Data Science, Computer Engineering, or a closely related discipline.
- Demonstrate a good technical background in Computer Science, Data Science, Computer Engineering, or a closely related computing discipline.
- Ability to organise and prioritise workloads, including balancing PhD studies with GTA responsibilities during term-time.
- Show a clear commitment to teaching, with effective presentation and student support skills.
- Demonstrate research capability, including the potential to develop a strong publication record.
- Good interpersonal and team player skills.
Training will be provided to develop teaching and pedagogical skills, and no prior experience of teaching is necessary. On the research side, our package of support includes access to MSc courses and bespoke training through our Postgraduate and Researcher College will help you in developing your professional skills as a researcher.
Working Hours and Salary:
Working hours for the teaching portion will be variable during the academic year but will be no more than 20 hours per week. The terms of the offer of funding for the PhD and the offer of employment will rely upon the postholder being registered as a full-time doctoral student. Successful candidates will be paid an annual salary (£9159) and stipend (£16038 per annum) over the 4-year period and will have PhD fees waived at the Home level. Please note that students liable for international fees will need to pay the difference between these and the home fee rate.
How To Apply:
Candidates must submit an application for this post via the 'Apply for job' tab at the bottom of the page. You must upload a combined CV and covering letter.
The University is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter and the Race Equality Charter, and champions LGBT+ equality. We are a Disability Confident Employer (Level 2). Applications for job-share, part-time and flexible working arrangements are welcomed and will be considered in line with business needs.
Graduate Teaching Assistant in Computer Science in Reading employer: TargetJobs UK
The University of Reading is an exceptional employer for aspiring computer scientists, offering a unique Graduate Teaching Assistant programme that combines hands-on teaching experience with the opportunity to pursue a fully funded PhD. With a commitment to diversity and inclusion, competitive salary packages, and extensive training support, employees can thrive in a collaborative environment that fosters both academic and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Teaching Assistant in Computer Science in Reading
✨Get Involved in Online Communities
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✨Leverage Your University’s Resources
If you’re currently studying, make sure to tap into your university's career services. They often have connections with local businesses in the education space, plus they can help us uncover part-time job openings that aren't widely advertised.
✨Showcase Your Skills through Projects
Create a portfolio showcasing any relevant projects or experiences in digital learning. Whether it's designing a learning module or contributing to an e-learning platform, having tangible examples will catch the eye of hiring managers at TargetJobs UK.
We think you need these skills to ace Graduate Teaching Assistant in Computer Science in Reading
Some tips for your application 🫡
Highlight Your Experience in Digital Learning:When applying for a role in digital learning like the Graduate Teaching Assistant in Computer Science at TargetJobs UK, make sure to showcase any prior experience you have in creating or managing online learning materials. We want to see how you've made an impact in previous roles, so don’t shy away from providing specific examples or projects you’ve worked on.
Showcase Relevant Skills and Tools:Mention any specific platforms or tools you’ve used in the digital learning space. For instance, if you're familiar with LMS (Learning Management Systems) or any authoring tools, include these in your CV. This demonstrates you’re not only passionate but also ready to hit the ground running at TargetJobs UK.
Express Your Passion for Education:In your cover letter, we really want to feel your enthusiasm for digital learning. Talk about your motivations for joining TargetJobs UK and how you hope to contribute to shaping the future of education. This is a part-time role, so highlighting your commitment and drive will go a long way!
Tailor Your CV to Stand Out:Adapt your CV specifically for the Graduate Teaching Assistant in Computer Science role by aligning your experiences and skills directly with the job description. Use strong action verbs and bullet points, focusing on your contributions in previous roles. We appreciate a clear, concise format that makes it easy for us at TargetJobs UK to see why you’re a perfect fit.
How to prepare for a job interview at TargetJobs UK
✨Showcase Your Digital Savvy
In the digital learning and education space, being tech-savvy is crucial. Make sure to highlight any experience you have with e-learning platforms, learning management systems, or educational software during your interview. Think about specific examples of how you’ve used these tools to enhance learning experiences – this will show TargetJobs UK you’re already familiar with the landscape!
✨Prepare to Discuss Educational Theories
Expect questions related to educational methodologies or theories that underpin digital learning. Brush up on concepts like constructivism or blended learning and be ready to discuss how these can apply to real-world scenarios. The interviewers at TargetJobs UK will appreciate your understanding of the educational principles that drive effective learning.
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As this is a part-time role, demonstrate how you can manage your time effectively and adapt to the dynamic demands of the position. Share examples from past experiences where you successfully balanced multiple tasks while contributing to team projects. This will reassure TargetJobs UK that you’re not just a candidate but a reliable team member who can juggle responsibilities.
✨Portfolio and Samples Matter
Even for a part-time gig, having a portfolio of your work can really set you apart. If you've designed any e-learning modules, created educational content, or implemented any successful teaching strategies, make sure you can present those. Being ready with tangible examples from your past work will help you make a stronger case to TargetJobs UK about what you bring to the table.
