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- Tasks: Conduct research on how young brains process fast-paced information using advanced data analytics.
- Company: Join the University of East London, a hub for innovative research and education.
- Benefits: Enjoy full tuition coverage, a £21,237 annual grant, and access to additional funding for conferences.
- Other info: PhD starts in Sept 25 or Jan 26; work alongside leading experts in the field.
- Why this job: Be part of groundbreaking research that explores the impact of screen media on young minds.
- Qualifications: Experience in data analytics, coding (Matlab/Python), and neuroimaging with infants/children is preferred.
The predicted salary is between 21237 - 21237 £ per year.
Funded PhD position – UEL ISEY & Leverhulme Trust
Join to apply for the Funded PhD position – UEL ISEY & Leverhulme Trust role at University of East London
Funded PhD position – UEL ISEY & Leverhulme Trust
2 days ago Be among the first 25 applicants
Join to apply for the Funded PhD position – UEL ISEY & Leverhulme Trust role at University of East London
Salary
The studentship will cover full tuition fees at the Home (UK-based) student rate and a maintenance grant for 3 years, at the rate of £21,237 pa.
Location
Stratford Campus
Salary
The studentship will cover full tuition fees at the Home (UK-based) student rate and a maintenance grant for 3 years, at the rate of £21,237 pa.
Post Type
Full Time
Closing Date
Sunday 17 August 2025
Reference
PHD002-25
A funded PhD position is available on a project funded by the Leverhulme Trust. Description below:
The density of information content in screen media – i.e., the light, volume and pitch changes from which we extract meaning – has increased continuously since we have been producing it. Our brains work by generating and testing predictions – but younger brains, which are messy and inefficient, are presumably less good at ‘keeping up’ with fast-paced information. What happens when information is presented ‘too fast’ for our brains to keep up with? Curiously, this question has received virtually no research. We propose to leverage state-of-the-art techniques to measure how young brains track information content within screen media in real-time.
The project will involve collecting and analysing EEG, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab and/or Python, is highly desirable. Experience of collecting neuroimaging and/or wearables data from infants/children is also desirable.
The project will be based at the Institute for the Science of Early Years ( ) in London, UK. Supervision will be by Prof Sam Wass ( ) (UEL, UK), with Prof Davidson (UEL, UK), Prof Rachel Barr (Georgetown, US) and Dr Sarah Jessen (Lübeck, Germany) as co-supervisors. The PhDs will start in Sept 25 or Jan 26.
Funding Notes
The studentship will cover full tuition fees at the Home (UK-based) student rate and a maintenance grant for 3 years, at the rate of £21,237 pa. The Studentship also comes with access to additional funding in the form of a research training support grant which is available to fund conference attendance, fieldwork, secondments, etc.
For more information, and details of how to apply, please contact the ISEY technical director, Muhammad Ehatisham Ul Haq .
Seniority level
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Seniority level
Internship
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Employment type
Full-time
Job function
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Job function
Research, Analyst, and Information Technology
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Industries
Higher Education
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Funded PhD position - UEL ISEY & Leverhulme Trust employer: University of East London
Contact Detail:
University of East London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Funded PhD position - UEL ISEY & Leverhulme Trust
✨Tip Number 1
Familiarise yourself with the latest research in neuroimaging and data analytics. Understanding current trends and methodologies will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Connect with current or former PhD students at UEL, especially those involved in similar projects. They can provide valuable insights about the application process and what to expect during your studies.
✨Tip Number 3
Attend relevant workshops or seminars related to EEG, fNIRS, and wearable technology. This will not only enhance your skills but also expand your professional network, which can be beneficial when applying for the position.
✨Tip Number 4
Reach out to the supervisors mentioned in the job description. Express your interest in their work and ask any questions you may have about the project. This shows initiative and can help you stand out as a candidate.
We think you need these skills to ace Funded PhD position - UEL ISEY & Leverhulme Trust
Some tips for your application 🫡
Understand the Project: Read the project description thoroughly to grasp the research focus. Highlight your understanding of how young brains process information and relate it to your academic background.
Tailor Your CV: Ensure your CV reflects relevant experience, especially in data analytics, neuroimaging, or working with infants/children. Emphasise any coding skills in Matlab or Python, as these are highly desirable.
Craft a Strong Personal Statement: Write a compelling personal statement that outlines your motivation for applying, your research interests, and how they align with the project. Mention any previous research experience and your long-term career goals.
Follow Application Instructions: Pay close attention to the application instructions provided by the University of East London. Ensure you submit all required documents before the deadline and double-check for any specific formatting requirements.
How to prepare for a job interview at University of East London
✨Understand the Research Project
Familiarise yourself with the specifics of the research project you'll be involved in. Read up on the density of information content in screen media and how it relates to young brains. Being able to discuss the project's aims and methodologies will show your genuine interest and preparedness.
✨Highlight Relevant Experience
Make sure to emphasise any experience you have with neuroimaging, data analytics, or coding in Matlab and Python. Prepare examples of past projects or coursework that demonstrate your skills in these areas, as they are highly desirable for this position.
✨Prepare Questions for Your Interviewers
Think of insightful questions to ask your interviewers about the project, the team, and the expectations for the PhD role. This not only shows your enthusiasm but also helps you gauge if the position is the right fit for you.
✨Showcase Your Passion for Early Years Research
Express your passion for research in early years and child development. Share any relevant experiences or motivations that led you to apply for this funded PhD position, as personal connection to the field can make a strong impression.