Research Fellow

Post Summary

Brain development in infants and its disruption by preterm birth or perinatal injury, can be measured with functional MRI (fMRI). Unfortunately, infants move in the scanner and half the images are discarded, precluding clinical application. In recent years, deep neural networks (DNNs) have led to breakthroughs in artificial intelligence and are finding growing application in biomedical imaging. DNNs have considerable potential to correct head motion in fMRI, as they can learn complex mappings, and exploit knowledge of brain structure. The postdoctoral researchers will develop DNNs to motion correct fMRI data.

Benefits include a pension contribution and PRSI social insurance. 

Please note that Garda vetting will be sought in respect of individuals who come under consideration for a post. 

Application Procedure

Applicants should submit the following documentation to  

with the subject line “DNN for MRI Postdoc 2024”:

• full curriculum vitae including a list of publications
• statement of research interest outlining current experience and plans for the future, not exceeding 2 pages
• names and email addresses of two referees
• links to any relevant code repositories, preprints, media articles, blogs, or other supporting media

Excellent candidates from outside of the EU will also be considered.

Selection will begin in April 2024.

If you have any query please contact:

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Trinity College Dublin is Ireland’s premier University. We are an EU Sustainable Gender Equality Champion and we hold an Athena Swan Silver award, recognising our ongoing work to advance gender equality both within Trinity and in the Higher Education sector. Trinity is committed to supporting work-life balance and to creating a family-friendly working environment.