Publisher
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Yingfang Yuan

1 week ago

Funded PhD in Understanding and Governing the Collective Cognition of AI Agents Northumbria University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded studentship for Home students, including tuition fees and a UKRI-rate stipend.

Country flag

Country

United Kingdom

University

Northumbria University

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Keywords

Computer Science
Psychology
Cognitive Science
Artificial Intelligence
Assistive Technology
Robotics
Collective Intelligence
Responsible Ai
Multi-agent System
Large Language Models

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About this position

Funded PhD opportunity at Northumbria University in Understanding and Governing the Collective Cognition of AI Agents.

This project sits at the intersection of Computer Science, Artificial Intelligence, Multi-Agent Systems, Collective Intelligence, and Human-AI Cognition. The research will investigate how collaborating AI agents reason and coordinate, how their collective reasoning compares with human cognition, when groups of agents can outperform individuals or humans, and how to design agentic systems that remain efficient, manageable, and responsible.

Likely research themes include multi-agent AI systems, large language models, multimodal AI, efficient agent collaboration and coordination, human oversight, responsible AI, AI agents for robotic decision-making, assistive technologies, and interdisciplinary applications such as metascience, finance, and healthcare.

The successful PhD student will have the opportunity to work closely with the BCML Lab and engage in research collaboration, knowledge exchange, and wider AI research activities. The post is linked to Northumbria University in Newcastle upon Tyne, UK.

Funding: fully funded studentship for Home students, including tuition fees and a UKRI-rate stipend.

Eligibility: open to Home applicants only. The post is specifically for a PhD student and is intended for candidates with strong interest in AI agents, multi-agent systems, and related interdisciplinary work.

Application: the official PhD advert and full application details will be released soon. Interested applicants can contact the poster informally at [email protected] for further information.

Funding details

Fully funded studentship for Home students, including tuition fees and a UKRI-rate stipend.

What's required

Open to Home applicants only. The post does not specify a required degree beyond PhD entry eligibility, but it indicates interest in candidates with alignment to multi-agent AI systems, large language models, multimodal AI, human-AI cognition, responsible AI, and related interdisciplinary applications.

How to apply

Watch for the official PhD advert and application details, which will be released soon. For informal enquiries, contact Yingfang Yuan at [email protected].

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Professors

Professor

University Name
Country flag

United Kingdom

Research Interests

Artificial Intelligence

Assistive Technology

Collective Intelligence

Large Language Models

Psychology