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Postdoctoral research associate in cross-species neuro-ai

Oxford
University of Oxford
Research associate
Posted: 21 February
Offer description

This postdoctoral position contributes to a UKRI-funded programme developing anatomy driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive computations emerge from cortex-wide neural dynamics across species.

The PDRA will contribute primarily to developing and analysing Cortically-Embedded Recurrent Neural Networks (CERNNs) that simulate large-scale neural dynamics during cognitive tasks. These models integrate species-specific neuroanatomical constraints to enable principled comparisons between human, macaque, marmoset, and rodent cognition.

The postholder will be physically based at Trinity College Dublin, embedded in the School of Computer Science and Statistics, Artificial Intelligence Discipline, and the Trinity College Institute of Neuroscience (TCIN), where they will interact closely with experimental and computational neuroscience groups. They will hold visiting researcher status at Trinity while being employed and line-managed by the University of Oxford.

This role is well suited to a postdoctoral researcher seeking advanced training at the interface of computational neuroscience, neuroanatomy, and AI, with opportunities to build expertise towards future fellowships or faculty positions.

The role is primarily based on-site at Trinity College Dublin to facilitate close interaction with the Principal Investigator, CANN group collaborators and the local research environment. Some remote working is possible for computational tasks. Travel to Oxford and international collaborator sites will be supported where required for project meetings, training, and dissemination.

Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information about the university and how to apply.

The post is full time (part time at minimum 0.8 FTE may be considered), for a fixed term until 31st March 2029 in the first instance.

Only applications received before 12.00 midday on Wednesday 1st April will be considered.

Interviews will be held as soon as possible thereafter.

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