Summary
Applications are invited for a fully funded PhD position in the field of visual cognitive computational neuroscience under the supervision of Dr. Kamila Maria Jozwik at the University of Cambridge. The research will combine cognitive science, neuroscience, and computational modelling, with a particular focus on visuo-semantic cognition. The PhD is fully funded for 4 years, and the ideal candidate will be involved in high-impact projects that explore how humans process visual and semantic dimensions of objects and people using neuroimaging and computational models.
PhD Scholarship in Visual Cognitive Computational Neuroscience, University of Cambridge, UK
Designation:
PhD Student in Visual Cognitive Computational Neuroscience
Research Area:
- Cognitive Neuroscience
- Computational Modelling
- Neuroimaging (fMRI, M/EEG)
- Machine Learning and AI (NeuroAI)
- Neurotechnology & Mental Health Research
Location:
Jozwik Lab, MRC Cognition and Brain Sciences Unit, University of Cambridge, UK
Eligibility/Qualification:
- A Master’s degree or equivalent in a relevant field (e.g., .Cognitive ..Science, Neuroscience, Computer Science, Engineering….)
- Substantial research experience, ideally from an MPhil/Master’s degree or research assistant position.
- Experience with behavioural and neuroimaging (fMRI, M/EEG) data collection, analysis, and design.
- Strong background in machine learning and AI.
- A collaborative approach to science, curiosity, and motivation to contribute to cutting-edge research.
Job Description:
The PhD student will work on a Royal Society-funded research programme to model behaviourally relevant visual and semantic dimensions of visual cognition in the human brain. This includes:
- Characterising visual and semantic dimensions using large-scale brain imaging datasets and validating predictions with computational models and neuroimaging experiments.
- Defining and modelling dimensions related to animacy perception when interacting with objects and people, including using videos and behavioural data.
- Exploring how brain representations change when humans are immersed in virtual environments (VR/AR) and using mobile EEG technology.
The lab uses machine learning techniques, biologically-inspired deep learning models (NeuroAI), and advanced neuroimaging methods to explore these research questions. The student will have the opportunity to work with cutting-edge technology, including 3T fMRI and MEG scanners, and be part of a multidisciplinary, international research environment.
How to Apply:
- Before applying, please contact Dr. Kamila Maria Jozwik at jozwik.kamila@gmail.com or kj287@cam.ac.uk.
- In your initial email, please include:
- Your CV
- Information about your programming, computational modelling, and research experience (e.g., fMRI, M/EEG, neuromodulation, electrophysiology, behaviour).
- Details of your journal and conference publications, preprints, and research theses.
- The contact information of 2-3 referees (who have worked with you on research projects) to send their reference letters directly to Dr. Jozwik.
For further details and to apply, visit the official application link: University of Cambridge – PhD Application.
PhD Fees Status:
Home fees only. For more information on fees, please visit the University of Cambridge Fees Page.
Start Date:
October 2026
Application Deadline:
13th March 2026
This is a unique opportunity to contribute to pioneering research in visual cognition and AI, in a world-class academic environment. We look forward to receiving your application!
