Fully Funded DPhil in Cognitive Neuroscience Brain Networks

University of Oxford; Oxford; On-site; GBP 20,000 - 25,000; Full time

Benefits offered by this job

UKRI stipend

Fees covered

Job summary

University of Oxford invites applications for a fully funded DPhil in Cognitive Neuroscience within the Department of Psychiatry. The project investigates how brain network dynamics shape human cognition using MEG, computational modelling and cognitive experiments.

You will join Dr Mats van Es' group at OHBA, contributing to MEG analyses, experimental design, and machine-learning based investigations while developing research questions and communicating findings.

Qualifications

• A relevant Master’s degree or equivalent in neuroscience, psychology, physics, engineering or computer science.
• Strong quantitative and computational skills are essential.
• Experience with electrophysiology methods (MEG/EEG) is advantageous.

Responsibilities

• Analyse large MEG datasets to characterise network dynamics over time.
• Design and conduct MEG experiments to test hypotheses about brain timing and cognition.
• Develop computational models or closed-loop experiments to test how network timing influences behavior.
• Collaborate in an interdisciplinary environment and communicate findings.

Skills

Python

Statistical modelling

Machine learning

Experimental design

Education

Upper second-class honours degree (or equivalent)

Master's degree in cognitive neuroscience or related fields

Tools

MEG

EEG

MRI

Job description

University of Oxford invites applications for a fully funded DPhil in Cognitive Neuroscience within the Department of Psychiatry. The project investigates how brain network dynamics shape human cognition using MEG, computational modelling and cognitive experiments.

You will join Dr Mats van Es' group at OHBA, contributing to MEG analyses, experimental design, and machine-learning based investigations while developing research questions and communicating findings.