Northeastern University London Fully Funded PhD Scholarship in Network Science Higher-order coordination and emergent communication across human, AI, and animal systems

About the Opportunity

Northeastern University London Fully Funded PhD Scholarship in Network Science

Higher-order coordination and emergent communication across human AI and animal systems

Northeastern University London > Network Science Institute

Deadline: 30 April 2026

Funded PhD Project (UK or International Students)

Funding provider: Northeastern University London (NU London)

Subject areas: Network Science Computational Social Science Collective Dynamics Animal Communication

Project start date: September 2026

Supervisors (*lead):

Giovanni Petri* (Network Science Institute Northeastern University London)

Zhongtian Sun (School of Computing University of Kent)

Aligned programme of study: PhD in Network Science

Mode of study: Full-time

Northeastern University London

As part of a major investment Northeastern University London (NU London) has multiple fully-funded PhD studentships available to accelerate its interdisciplinary research in the humanities social sciences and digital sciences. Each scholarship is fully-funded for three and a half years (UKRI rates) and includes fees an annual stipend an additional London allowance and associated costs such as training.

NU London is both a UK university governed by UK higher education regulations and the European campus of Northeastern University a large top-tier research intensive Boston-based institution. Founded in 1898 Northeastern received $230.7m of external research funding in 2022 and is the recognized leader in experience-driven lifelong learning. It has campuses across the United States and Canada (in Boston; Charlotte North Carolina; Portland Maine; Oakland California; San Francisco; Seattle; Silicon Valley; Arlington Virginia; the Massachusetts communities of Burlington and Nahant; Toronto and Vancouver). Whilst the PhD will be a UK qualification students will have the opportunity to engage with and visit the Northeastern University network overseas as part of their London-based doctoral studies providing a truly unique and highly sought-after dimension to their research training.

The Project

How does the structure of group interactions shape coordination norm formation and the emergence of communication systems What changes when we move from pairwise to genuinely group-level interactions in human populations in multi-agent AI systems and in animal societies Can the same mathematical framework describe convention formation in online human groups the spontaneous emergence of language in AI agent populations and the vocal traditions of sperm whales

This research project part of the ERC Consolidator Grant RUNES (Reconstruction and Unification of Neural and Ecological Systems) aims to investigate how higher-order interaction topology shapes collective outcomes across three classes of cognitive systems employing an interdisciplinary approach that integrates online behavioural experiments multi-agent simulations and the analysis of animal communication data.

Social coordination on group interaction structures: Extending the naming-game framework (Centola et al. Science 2018) from pairwise networks to higher-order interaction topologies we will design and run large-scale online coordination experiments via Prolific systematically varying group size overlap and clustering. The aim is to test how group-level interaction structure shifts tipping-point dynamics and convention formation comparing against matched pairwise controls. By fitting higher-order contagion models and information-theoretic decompositions to the experimental data we will quantify the contributions of group interactions that pairwise models miss.

Emergent communication in multi-agent AI systems: We will investigate how interaction topology shapes the complexity and compositionality of communication protocols in multi-agent systems. Building on recent work showing that LLM agent populations spontaneously develop shared social conventions through naming-game interactions we will test whether convention formation dynamics on group topologies mirror those observed in human experiments. Reinforcement-learning agents in controlled environments will serve as a mechanistic validation layer allowing us to isolate the effects of topology from agent architecture. Across both platforms we will measure communication complexity using information-theoretic tools synergyredundancy decompositions description-length measures to enable direct cross-system comparison.

Animal communication and collective coordination: Using data from Project CETI (sperm whale vocalisations tracking and behavioural data from on-body tags) and from collaborating labs (zebrafish collective behaviour under multiple social conditions with neural activity markers enabling proxy measures of functional coupling) we will apply higher-order statistical analysis to test whether group-level signatures in communication and coordination data predict collective outcomes such as group spacing changes behavioural synchrony and leadership transitions beyond what pairwise models capture. This builds on the PIs prior work on social learning across symbolic cultural barriers in sperm whales (Leitao Lucas Poetto Hersh Gero Gruber & Petri eLife 2024).

The project will culminate in a cross-system synthesis asking whether the topological and information-theoretic features that predict coordination in one system transfer to another a foundational question for complex systems science.

The successful candidate will join the NP Lab within the Network Science Institute (led by Prof. G. Petri) and is expected to interact with members of the group as well as with postdocs graduate and PhD students and to work across a range of applications of network science and complex systems both within and outside of the lab.

The successful candidates will:

Have an MSc (or equivalent) in Physics Mathematics Computer Science or a related quantitative field

Have strong modelling computational and code development skills

Have experience with network science multi-agent systems statistical mechanics or computational social science

Have good programming skills in at least one of: Python Julia Rust C

Be excited and inspired by the proposed project area

Be a self-starter with a highly collaborative spirit

Have good communication skills

Have an inquiring mind and be willing to challenge themselves

The successful candidates will benefit from a brand new campus on the banks of the River Thames next to Tower Bridge. This is an interdisciplinary vibrant research environment with international collaboration and networking opportunities and dedicated research space. It will form the hub of a highly experienced multi-institution supervisory team from NU London and the University of Kent.

The panel will be shortlisting for this position on a rolling basis so please apply as soon as possible. We reserve the right to close this post before the closing date once a suitable applicant is found.

Shortlisted candidates will be interviewed at the end of TBC. Candidates are welcome to contact the NU London supervisor with informal enquiries before the application deadline: Giovanni Petri ()

Eligibility

Bachelors degree in a relevant subject - 2:1 or 1st (essential)

Masters degree in a relevant subject (optional)

English Language requirements:

If applicable IELTS 7 overall (with a score of at least 6.5 in each individual component) or equivalent.

Nationality

Applications are open to UK and international students. Please indicate if you are likely to require a visa on your application. We are unable to support visa costs

Funding

This scholarship covers the full cost of tuition fees an annual stipend and an additional London allowance (set at UKRI rates) for 3.5 years.

How to Apply

Please send a CV a 2-page Research Proposal related to the topics of the research project and a Covering Letter stating how you meet the requirements and why you are interested in the proposed research project.

Position Type

Additional Information

About the University

Northeastern University London (NU London) is a prestigious higher education institution based in the heart of London and is part of Northeastern Universitys global campus network.

Overlooking the River Thames near Tower Bridge NU London offers academically challenging educational programmes designed to inspire innovative thinking encourage interdisciplinary study and provide global experiences. The bright and modern campus offers award winning contemporary facilities for students and staff including state of the art audio visual technology in its teaching and meeting spaces.

Inspired by excellence infused with an energy of ideas and ability in motion at NU London being a part of our staff is to be a part of a collective of entrepreneurs and educators builders and London is growing quickly offering opportunity and growth for our staff. Currently hosting 1500 students our aim is to have 4000 students by 2028/29.

Choose NU London

As well as the exciting opportunities this role presents the University supports staff maintaining a good work/life balance your health and wellness are of utmost importance to us and our offerings encompass:

• 25 days annual leave plus 8 bank holidays and winter break holidays (normally 2 days between Christmas and New Year).

• Access to personalised Continuous Professional Development (CPD) plans and opportunities.

• Support with private medical insurance.

• Eye test reimbursement.

• Cycle Scheme vouchers.

• 24/7 employee assistance/ support via our Employee Assistance Programme.

• Access to deals and discounts for food & shopping in the local area.

Enquiries

Informal enquiries may be made to However all applications must be made in accordance with the application process specified.

Application process

Applications should be made viaby 00:00 on

Participation in the equal opportunities section is encouraged but voluntary.

Applications must include a covering letter of no more than one page that addresses the criteria for the role and a full curriculum vitae.

The panel will be shortlisting for this position on a rolling basis so please apply as soon as possible. We reserve the right to close this post before the closing date if we receive a large number of applications.

Please note all employees of Northeastern University London are required to undergo at least a basic DBS check. Our organisation acknowledges the duty of care to safeguard protect and promote the welfare of our students and staff and is committed to ensuring safeguarding practice reflects statutory responsibilities government guidance and complies with best practice and Ofsted requirements. You must adhere to the above if you are offered a role with NU London.

For staffs own wellbeing for part time roles the expectation is if you have multiple roles they should not exceed full time (37.5 hours per week) and for full time roles the expectation is that this will be your only role (apart from intermittent roles).

Applications are welcome from all sections of the community and will be judged on merit alone. We welcome applications from all underrepresented groups including the Global Majority. Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration Asylum and Nationality Act 2006.