AI Research Fellow – Brain MRI & Iron-Load Quantification

UCL; Greater London; On-site; GBP 46,000 - 49,000; Part time

Job summary

University College London (UCL) Hawkes Institute seeks a highly qualified researcher to develop and evaluate advanced AI algorithms that quantify iron load from MRI data. The role focuses on standard MRI data processing and precise quantification of brain iron distribution.

Funding is for four months, with pro rata terms. A good PhD in Imaging Science and experience in quantitative susceptibility MRI are essential, and the post offers access to UCL's wealth of interdisciplinary resources and

Qualifications

• PhD in Imaging Science.
• Experience in developing and evaluating advanced AI algorithms for QSM.

Responsibilities

• Develop and evaluate AI algorithms for quantitative susceptibility MRI.
• Quantify iron distribution in the brain from MRI data.

Skills

AI algorithms

Imaging AI

Quantitative MRI

Education

PhD in Imaging Science

Job description

University College London (UCL) Hawkes Institute seeks a highly qualified researcher to develop and evaluate advanced AI algorithms that quantify iron load from MRI data. The role focuses on standard MRI data processing and precise quantification of brain iron distribution.

Funding is for four months, with pro rata terms. A good PhD in Imaging Science and experience in quantitative susceptibility MRI are essential, and the post offers access to UCL's wealth of interdisciplinary resources and