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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 higher 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 computer science.
- Qualifications: Must have a MSc in Computer Science or related field and meet PhD entry requirements.
- Other info: Flexible working hours and support for diverse applicants are encouraged.
The predicted salary is between 10400 - 15600 £ per year.
Join to apply for the Graduate Teaching Assistant (GTA) - Investigation of semi-supervised solutions in cloud detection from remote sensing role at University of Reading.
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.
Part-time, fixed-term (4 year) role.
Closing date: 23:59 GMT 20 July 2025
Interview date: to be confirmed
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 detection 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.
You Will Need To Demonstrate You
- 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
See candidate pack at the bottom of the page for further details.
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 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!
Contact details for advert:
Contact Name: Dr Hong Wei
Contact Job Title: Associate Professor in Computer Science
Contact Email address: h.wei@reading.ac.uk
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 (GTA) - Investigation of semi-supervised solutions in cloud detecti[...] employer: University of Reading
Contact Detail:
University of Reading 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 research in cloud detection and semi-supervised learning. This will not only help you understand the project better but also allow you to engage in meaningful discussions during the interview.
✨Tip Number 2
Connect with current or former Graduate Teaching Assistants at the University of Reading. They can provide insights into the role, expectations, and tips on how to excel in both teaching and research responsibilities.
✨Tip Number 3
Prepare to demonstrate your teaching skills, even if you lack formal experience. Think of ways you can convey complex scientific concepts clearly and enthusiastically, as this is a key requirement for the role.
✨Tip Number 4
Showcase your ability to balance multiple responsibilities. Be ready to discuss how you plan to manage your time effectively between PhD studies and teaching duties, as this will be crucial for success in the position.
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 requirements of the Graduate Teaching Assistant position. Familiarise yourself with the project on semi-supervised solutions in cloud detection to tailor your application effectively.
Craft a Strong CV: Your CV should highlight your MSc degree in Computer Science or a related discipline, relevant skills, and any experience that demonstrates your ability to balance PhD studies with teaching responsibilities. Be sure to include any publications or research projects you've been involved in.
Write a Compelling Proposal: The proposal is your chance to showcase your research interests and how they align with the project. Clearly outline your understanding of cloud detection and semi-supervised learning, and propose innovative ideas or methodologies you would like to explore during your PhD.
Complete the Supporting Statement: In your supporting statement, emphasise your communication skills, enthusiasm for teaching, and ability to work as part of a team. Provide specific examples of how you've engaged others in scientific concepts or collaborated on projects to demonstrate your interpersonal skills.
How to prepare for a job interview at University of Reading
✨Understand the Research Topic
Make sure you have a solid grasp of the project’s focus on semi-supervised solutions in cloud detection. Familiarise yourself with relevant concepts in computer vision and machine learning, as well as recent advancements in remote sensing technology.
✨Showcase Your Teaching Skills
Even if you don’t have prior teaching experience, think about how you can engage students. Prepare examples of how you would explain complex scientific concepts clearly and enthusiastically, demonstrating your ability to communicate effectively.
✨Demonstrate Time Management Abilities
Be ready to discuss how you plan to balance your PhD studies with your responsibilities as a Graduate Teaching Assistant. Share specific strategies or tools you use to organise your time and prioritise tasks.
✨Prepare Questions for the Interviewers
Have thoughtful questions ready to ask the interviewers about the role, the research team, and the university's support for your development. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
