Publisher
source

University College London

PhD Opportunity in Efficient, Adaptive, and Safe AI at UCL University College London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Potential scholarship opportunities may be discussed after meeting. The post does not state a guaranteed funded studentship, stipend amount, or tuition coverage.

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Country

United Kingdom

University

University College London

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Keywords

Computer Science
Electrical Engineering
Mathematics
Neuropsychology
Adaptive Algorithms
Reasoning
Interpretability
Continual Learning

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About this position

PhD opportunity at University College London in efficient, adaptive, and safe AI.

The supervisor is Jagmohan Chauhan, Associate Professor at UCL and lead of the IntellEcT Systems lab. The research themes mentioned include Generative AI, Agentic AI, World Models, Reasoning, and Physical AI, with a strong emphasis on building intelligent systems that learn, adapt, reason, and operate efficiently and safely.

A particularly highlighted direction is Neuroscience-inspired AI, including sparse and event-driven computation, modular neural architectures, memory consolidation, replay, neuromodulation, continual learning, adaptation, metacognition, executive control, and mechanistic interpretability.

This is a PhD call for motivated applicants with a strong research idea or background aligned with these areas. The post asks interested candidates to send a short description of their research interests or idea plus a CV. Scholarship opportunities may be discussed after meeting.

Applicants are encouraged to get in touch by mid-November, since many scholarship deadlines are in early January.

Funding details

Potential scholarship opportunities may be discussed after meeting. The post does not state a guaranteed funded studentship, stipend amount, or tuition coverage.

What's required

Applicants should have a strong research idea or background aligned with efficient, adaptive, or safe AI. The post invites motivated PhD applicants interested in generative AI, agentic AI, world models, reasoning, physical AI, and neuroscience-inspired AI. Candidates should send a short description of their research interests or idea and a CV. The post suggests contacting the supervisor by mid-November because many scholarship deadlines are in early January.

How to apply

Send a short description of your research interests or idea together with your CV to the supervisor. Make contact by mid-November so there is time to discuss scholarship options before early-January deadlines.

More information can be found here

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