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- Tasks: Explore social media interactions and model attention dynamics using data science.
- 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 on social media analytics.
- Qualifications: MSc in relevant fields like Data Science or Network Science required.
- Other info: Flexible start date before October 2026 with global networking opportunities.
The predicted salary is between 18000 - 25000 £ 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
About the Complex Connections Lab
The lab is 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)
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 (NU 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 in London 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 in London
✨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! Tailor your approach for each opportunity. Research the lab and its projects, and mention how your interests align with theirs. This shows you’re genuinely interested and not just sending out cookie-cutter applications.
✨Tip Number 3
Follow up after applying! A quick email to express your enthusiasm can set you apart from other candidates. Just keep it professional and polite – it’s all about showing your interest without being pushy.
✨Tip Number 4
Use our website to find opportunities that match your skills and interests. We’ve got loads of resources to help you land that fully funded PhD scholarship. Don’t miss out on what we have to offer!
We think you need these skills to ace Fully Funded PhD Scholarship - Individual patterns evolution of social media interactions in London
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 coursework, projects, or research that demonstrate your understanding of complex systems and data science. We love seeing candidates who have hands-on experience in these areas, 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 project shines 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 opportunity to work at the intersection of theory and real-world applications. Share any personal projects or experiences that demonstrate your interest in social media interactions and data analysis.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready for your interviewers. This could include inquiries about the research environment at the Complex Connections Lab, potential collaborations with Sony CSL, or how the PhD programme integrates with the broader Network Science Institute.
✨Highlight Your Skills
Be ready to discuss your quantitative skills and experience with data-driven approaches. Mention any relevant coursework, projects, or research that involved mathematical modelling, statistical analysis, or working with large datasets, as these will be crucial for the PhD project.