Summary
A fully funded PhD position in Visual Cognitive Computational Neuroscience is available at the University of Cambridge’s Jozwik Lab, focusing on exploring visuo-semantic cognition through innovative research.
PhD Position in Visual Cognitive Computational Neuroscience, University of Cambridge, England
Designation
PhD Student
Research Area
Visual Cognitive Computational Neuroscience
Location
Jozwik Lab, MRC Cognition and Brain Sciences Unit, University of Cambridge
Eligibility/Qualification
| Requirement | Details |
|---|---|
| Programming Skills | Extensive experience in Python or Matlab for data analysis |
| Research Experience | Significant research background, ideally through an MPhil/Master’s degree or research assistant role |
| Neuroimaging Expertise | Experience with fMRI, M/EEG data collection/analysis |
| Machine Learning Knowledge | Familiarity with machine learning and AI principles |
| Collaborative Approach | Willingness to work as part of a team and assist other lab members |
| Curiosity and Motivation | A strong interest in visuo-semantic cognition and related research questions |
Description
The Jozwik Lab engages in cutting-edge research that combines cognitive science, neuroscience, and computational modelling. The PhD student will be involved in three primary aims: characterizing visual and semantic dimensions, modeling animacy perception, and investigating brain representations in immersive environments (VR/AR). The lab boasts state-of-the-art facilities, including a 3T fMRI scanner and MEG scanners, fostering an innovative research environment committed to rigorous, open science.
How to Apply
Interested candidates should contact Dr. Kamila Maria Jozwik at jozwik.kamila@gmail.com or kj287@cam.ac.uk before applying. In your initial email, please include:
- Your CV
- Information on your programming, computational modelling, and relevant research experience
- Details of any journal and conference publications, preprints, and research theses
- Names of 2-3 referees who can provide reference letters
Last Date to Apply
13th March 2026
For more details, visit the application link.
