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- Tasks: Explore social media interactions and model attention dynamics using data-driven approaches.
- Company: Northeastern University London, in collaboration with Sony CSL - Paris.
- Benefits: Fully funded PhD scholarship covering fees, stipend, and training costs.
- Why this job: Join a cutting-edge research team and make an impact in social science and network studies.
- Qualifications: MSc in relevant fields like Data Science or Network Science required.
- Other info: Flexible start date before October 2026 with opportunities for international collaboration.
The predicted salary is between 36000 - 60000 £ per year.
About the Opportunity
- Discipline: Network Science
- Funding provider: Sony CSL - Paris
- Subject areas: Complex Systems, Computational Social Science, Network Science, Data Science, Physics.
- Project start date: Flexible before October 2026
- Mode of study: Full-time
About the Complex Connections Lab
The Complex Connections Lab is a research laboratory based at Northeastern University London dedicated to studying the complex social connections that govern human behaviour and interactions in cities and online. The Lab focuses on the study of the digital traces we leave behind to capture human behaviour and social dynamics through the lens of Network Science, Complexity Theory, and Data Science.
About the Sony CSL - Paris
Sony Computer Science Laboratories Paris is a research centre dedicated to advancing fundamental and applied research across a wide range of fields, including music creativity, computational social science, language, and sustainable agriculture.
About the Network Science Institute (NetSI)
In 2023, the new NetSI in London was created to advance research, education, and innovation centred around network science. The PhD student will be a member of the Network Science Institute (NetSI), which has offices in Boston MA, Portland MA, and London UK.
About Northeastern University London
Northeastern University London has multiple, fully-funded PhD studentships available to accelerate its interdisciplinary research in the humanities, social sciences, and computing, maths, engineering and natural sciences. Each scholarship is fully-funded for three and a half years (UKRI rates) and includes full course fees, an annual stipend (including an additional London allowance) and associated costs, such as training.
The Project
This PhD project focuses on the quantitative modelling of short-term collective attention dynamics in online cultural and social systems. Understanding how attention is captured and sustained is a key challenge for computational social science.
The core aim of this project is to identify, model, and test laws governing early collective attention. The PhD will adopt a strongly quantitative and data-driven approach, developing and evaluating mathematical and statistical models of short-term attention dynamics.
The ideal candidate has:
- MSc (or equivalent) in Complex Systems, Networks, Data Science, Computational Social Science, Natural Language Models, Physics.
Fully Funded PhD Scholarship - Individual patterns evolution of social media interactions employer: Nulondon
Contact Detail:
Nulondon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fully Funded PhD Scholarship - Individual patterns evolution of social media interactions
✨Tip Number 1
Network, network, network! Get out there and connect with people in your field. Attend conferences, workshops, or even local meetups. You never know who might have a lead on that perfect PhD opportunity!
✨Tip Number 2
Don’t just apply blindly! Research the labs and supervisors you’re interested in. Tailor your approach to show how your interests align with their work. A personal touch can make all the difference.
✨Tip Number 3
Prepare for interviews like it’s the final exam! Brush up on your knowledge of network science and be ready to discuss your ideas. Practise common interview questions and think about how you can showcase your passion for the subject.
✨Tip Number 4
Apply through our website! It’s the easiest way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage with us directly. Don’t miss out on this chance!
We think you need these skills to ace Fully Funded PhD Scholarship - Individual patterns evolution of social media interactions
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the PhD project. We want to see your passion for Network Science and how you can contribute to our research at Northeastern University London.
Showcase Relevant Experience: Include any relevant projects, coursework, or research that demonstrate your expertise in Complex Systems, Data Science, or Computational Social Science. This is your chance to shine, so don’t hold back!
Be Clear and Concise: Keep your writing clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s necessary, and make sure your enthusiasm for the subject comes through.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure your application gets the attention it deserves. We’re excited to see what you bring to the table!
How to prepare for a job interview at Nulondon
✨Know Your Stuff
Make sure you’re well-versed in the key concepts of Network Science, Complex Systems, and Computational Social Science. Brush up on recent research and methodologies in these areas, as well as any relevant tools or software that might be used in the project.
✨Show Your Passion
Express your enthusiasm for the subject matter and the specific project. Talk about why you’re interested in studying social media interactions and how it relates to your previous work or studies. This will help you stand out as a candidate who is genuinely invested in the research.
✨Prepare Thoughtful Questions
Have a few insightful questions ready for your interviewers. Ask about the lab's current projects, collaboration opportunities with Sony CSL, or how they envision the PhD student's role evolving over time. This shows you’re engaged and thinking critically about your potential place in the team.
✨Practice Your Presentation Skills
Since this PhD involves presenting complex data and findings, practice explaining your past research or projects clearly and concisely. Use examples that highlight your analytical skills and ability to communicate complex ideas effectively, as this will be crucial in your role.