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- Tasks: Assist in teaching while pursuing a funded PhD in cloud detection research.
- Company: Join the University of Reading, a leader in computer science education and research.
- Benefits: Enjoy a competitive salary, waived PhD fees, and training opportunities.
- Why this job: Gain valuable teaching experience while contributing to innovative research in cloud detection.
- Qualifications: Must have an MSc in Computer Science and meet PhD entry requirements.
- Other info: Flexible working hours and support for diverse applicants are encouraged.
The predicted salary is between 10000 - 12000 £ per year.
Graduate Teaching Assistant (GTA) – Investigation of semi-supervised solutions in cloud detection from remote sensing
Join to apply for the Graduate Teaching Assistant (GTA) – Investigation of semi-supervised solutions in cloud detection from remote sensing role at targetjobs UK
Graduate Teaching Assistant (GTA) – Investigation of semi-supervised solutions in cloud detection from remote sensing
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Join to apply for the Graduate Teaching Assistant (GTA) – Investigation of semi-supervised solutions in cloud detection from remote sensing role at targetjobs UK
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Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. However, non-UK candidates who do not already have permission to work in the UK should note that by reference to the applicable SOC code for this role, sponsorship will not be possible under the Skilled Worker Route. There is further information about this on the UK Visas and Immigration Website.
Part-time, fixed-term (4 year) role.
Closing date: 23:59 GMT 20 July 2025
Opportunity
We are pleased to announce a fantastic opportunity for ambitious computer scientists to join our Computer Science Graduate Teaching Assistant (GTA) Programme!
How does it work?
Candidates will study for a four year, full time funded PhD (3 quarters of your time) whilst working and receiving a salary to gain valuable teaching experience (1 quarter of your time). Candidates will receive a salary and stipend package that exceeds the standard UKRI stipend for a full-time PhD.
Home/RoI Students will have their PhD fees waived, International students will receive a fee waiver equivalent to the Home/RoI fee and will be expected to fund the difference between the International fee and the Home/RoI fee. There will be a package of support to enable you to develop a research career in this exciting field.
PhD Topic
Investigation of semi-supervised solutions in cloud detection from remote sensing
Earth observation satellite imagery provides earth surface appearance as well as physical properties. However, clouds over the surface (including oceans) negatively affect the observation of optical images. To understand true surface properties, cloud detect is required to identify which pixels within an image are dominated by cloud-free regions, as opposed to cloud dominated pixels. The imagery involved is usually in multiple spectral captured by satellites. The project aims to design and develop algorithms to automatically detect cloud dominated pixels from given satellite images with limited annotated samples in learning/training.
The Project Aims To Apply Computer Vision And Machine Learning Technologies In Cloud Detection From Remotely Sensed Imagery By Using Limited Training Samples. With Respect To The Aim, The Following Objectives Are Specified
- Investigate semi-supervised learning mechanisms in dealing with multi-spectral images.
- From the computer vision point of view, analyse remotely sensed images with respect to their physical characteristics against image features, which correspond to thick cloud, light cloud, and cloud-free regions.
- Develop algorithms, combined with findings from computer vision and machine learning, for the cloud detection purpose with effective but limited training samples.
Qualifications And Skills
- Meet the academic requirements for a PhD offer from the University of Reading.
- Have a MSc degree in Computer Science or a related discipline.
- Are able to effectively organise your time and prioritise tasks to balance PhD studies with GTA responsibilities.
- Are able to demonstrate scholarship in developing a publication record in your area of specialist expertise and conduct high quality PhD research.
- Are able to communicate scientific concepts clearly and with enthusiasm and in a way that engages students.
- Have good interpersonal skills and be able to work as part of a team.
Additional Opportunities
Candidates will be provided with training to develop teaching and pedagogical skills, 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
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 (£8745) and stipend (£15585 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 do I apply? You must upload a combined CV and Proposal in pdf format (max size 1 MB) and complete the supporting statement. We look forward to hearing from you!
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.
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Graduate Teaching Assistant (GTA) - Investigation of semi-supervised solutions in cloud detecti[...] employer: TargetJobs UK
Contact Detail:
TargetJobs UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Teaching Assistant (GTA) - Investigation of semi-supervised solutions in cloud detecti[...]
✨Tip Number 1
Familiarise yourself with the latest advancements in semi-supervised learning and cloud detection technologies. This will not only help you understand the project better but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Network with current or former Graduate Teaching Assistants in similar roles. They can provide insights into the application process and what the interviewers are looking for, giving you a competitive edge.
✨Tip Number 3
Prepare to demonstrate your teaching skills, even if you have no prior experience. Think of ways to present complex concepts clearly and engagingly, as this will be crucial in your role as a GTA.
✨Tip Number 4
Showcase your ability to balance research and teaching responsibilities. Be ready to discuss how you plan to manage your time effectively between your PhD studies and GTA duties, as this is a key requirement for the role.
We think you need these skills to ace Graduate Teaching Assistant (GTA) - Investigation of semi-supervised solutions in cloud detecti[...]
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and expectations of a Graduate Teaching Assistant. Familiarise yourself with the project aims and the skills required, particularly in computer vision and machine learning.
Tailor Your CV and Proposal: Craft your CV to highlight relevant experience, especially any teaching or research roles. In your proposal, clearly outline your understanding of semi-supervised learning and how it applies to cloud detection, showcasing your academic background and enthusiasm for the subject.
Write a Strong Supporting Statement: In your supporting statement, demonstrate your communication skills and ability to engage students. Discuss your organisational skills and how you plan to balance PhD studies with teaching responsibilities, providing specific examples from your past experiences.
Proofread and Format: Ensure your application documents are well-formatted and free of errors. A clean, professional presentation reflects your attention to detail. Remember to combine your CV and proposal into a single PDF file, keeping the size under 1 MB as specified.
How to prepare for a job interview at TargetJobs UK
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Graduate Teaching Assistant, especially in relation to cloud detection and semi-supervised learning. Familiarise yourself with the project aims and be ready to discuss how your background aligns with these objectives.
✨Showcase Your Research Skills
Prepare to talk about your previous research experiences, particularly any work related to computer vision or machine learning. Highlight any publications or projects that demonstrate your ability to conduct high-quality research and your understanding of the field.
✨Demonstrate Teaching Enthusiasm
Since this role involves teaching, be prepared to discuss your approach to engaging students. Share examples of how you've communicated complex concepts clearly and enthusiastically in the past, even if it wasn't in a formal teaching setting.
✨Ask Insightful Questions
Prepare thoughtful questions about the programme, the team you'll be working with, and the specific challenges of the project. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
