Research Assistant in Imaging of Genetic Epilepsies

About Us

The applicant will join the new Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and with clinicians at Great Ormond Street Hospital and through our international Multicentre Epilepsy Lesion Detection project. 

About The Role

A Research Assistant is sought to support a project that aims to create openly available computational tools for automated imaging analysis of neurodevelopmental disorders.

Genetic testing has transformed our understanding of neurodevelopmental epilepsy. Identification of common genetic mutations in specific genes has enabled precision diagnosis and more recently the development of genetic therapies. However, we lack the imaging tools to understand of how these mutations disrupt healthy brain development, how brain changes relate to patient symptoms and how to best target treatment. This project seeks develop tools to better understand, diagnose, monitor and target in children with genetic epilepsies

In close collaboration with Great Ormond Street Hospital and other leading epilepsy hospitals, we are collecting unique imaging cohorts of genetic disorders. These will offer an unprecedented opportunity to further our understanding of genetic epilepsies and to create robust, clinical useful imaging tools.

The post would suit a candidate interested in building clinical datasets to tackle translational challenges, while further developing neuroimaging and machine learning skills, and offers a unique opportunity for the appointee to join a pioneering translational machine learning neuroimaging project with a broader interest linking imaging characteristics to molecular biology and neurodevelopmental symptoms.

The project is a 3 year position supported by the Rosetrees Trust, and we would support in developing the project into a PhD project.

This is a full time post (35 Hours per week), and you will be offered an indefinite contract until 4th January 2029.

Advert information