PhD Studentship in Network Science: Northeastern University London invites applications for a fully funded PhD studentship in Network Science, focusing on the reconstruction and modeling of higher-order interactions in complex systems. The project aims to advance understanding of how higher-order interactions shape the dynamics and emergent properties of neural and social systems.
Designation
PhD Studentship in Network Science
Table
| Category | Details |
|---|---|
| Institution | Northeastern University London |
| Funding Provider | Northeastern University London (NU London) |
| Funding Type | Fully Funded (Tuition & Stipend) |
| Project Start Date | April 2025 (preferred), with a possibility for October 2025 |
| Mode of Study | Full-time |
| Annual Stipend | £21,237 (2024/2025 academic year) with annual increments as per UKRI rates |
| Duration | 3.5 years |
| Reference | R131495 |
Research Area
Network Science, focusing on higher-order interactions within complex systems, including theoretical modeling and empirical applications in neuroscience and social systems.
Location
Northeastern University London, UK – near Tower Bridge.
Eligibility/Qualification
- Bachelor’s Degree: Relevant subject with 2:1 or 1st class honors.
- Master’s Degree: In a relevant subject (strongly recommended).
- Skillset: Strong computational and modeling skills, proficiency in programming languages (Python, Julia, C++, etc.), and experience in complex systems or network science.
- Communication: Excellent communication and collaboration skills.
- English Language: IELTS 7 overall (with at least 6.5 in each component) for non-native speakers.
Description
This PhD project focuses on understanding how higher-order interactions (HOIs) influence the dynamics and emergent properties of complex systems, particularly in neural and social contexts. The research will bridge the gap between theory and data by developing models that explore phenomena such as synergy, redundancy, and collective behavior. The candidate will engage in theoretical modeling, reconstruction methods, and computational experiments, validating findings against real-world datasets from neuroscience and social systems. This interdisciplinary role offers networking opportunities and collaboration across various institutions.
How to Apply
Interested candidates should submit a CV along with a Covering Letter explaining their qualifications and interest in the research project via the application link provided. Please reference your application with code “R131495”.
Last Date for Application
February 16, 2025
For informal inquiries before the application deadline, candidates are welcome to contact Giovanni Petri at giovanni.petri@nulondon.ac.uk.
