PhD in Infant Cognitive Neuroscience & Neuroimaging

FIT’NG; Dublin; Hybrid; EUR 21,000 - 29,000; Full time

Job summary

Trinity College Dublin invites applications for a PhD Studentship in Infant Cognitive Neuroscience. Based in the Cusack Lab, the four-year stipend is €25,000 per annum plus fees and conference travel, with 39 hours per week.

The post involves awake infant fMRI/OPM-MEG, experimental design, data analysis, and computational modelling under Professor Cusack. The project aims to advance understanding of infant cognition, develop neuroimaging methods, and explore energy-efficient AI models, with

Qualifications

• Bachelor’s degree in psychology, cognitive science, computer science or a relevant field is essential
• Master’s degree in developmental science, cognitive neuroscience, computer science or a relevant field is desirable
• Experience with neuroimaging data analysis would be advantageous
• Experience with using DNNs is highly desirable

Responsibilities

• Collaborate with interdisciplinary team to conduct original research
• Apply robust methods to produce high-quality science
• Maintain the highest ethical standards
• Develop expertise in neuroimaging and AI modelling
• Present work at local, national and international meetings
• Write clear, authoritative manuscripts
• Supervise undergraduate students as a co-supervisor
• Contribute to lab operations

Skills

Critical thinking

Organisation

Literature synthesis

Hypothesis development

Experiment design

Scientific writing

Communication

Cross-disciplinary

Education

Bachelor’s degree in psychology, cognitive science, computer science or a relevant field

Master’s degree in developmental science, cognitive neuroscience, computer science or a relevant field

Tools

Python

DNNs

Job description

Trinity College Dublin invites applications for a PhD Studentship in Infant Cognitive Neuroscience. Based in the Cusack Lab, the four-year stipend is €25,000 per annum plus fees and conference travel, with 39 hours per week.

The post involves awake infant fMRI/OPM-MEG, experimental design, data analysis, and computational modelling under Professor Cusack. The project aims to advance understanding of infant cognition, develop neuroimaging methods, and explore energy-efficient AI models, with