Already thinking ahead to interview?

Save this role, then rehearse likely interview themes with structured write and speak feedback before the panel.

Practice interview answers
Location
Salary
£39,959 - £48,117 per annum
Grade
Band 6
Deadline
07 May 2026
Contract Type
3 years (fixed term 3 years)
Posted Date
23 Apr 2026

Job overview

A three-year Postdoctoral Research Associate position is immediately available to work on a study to characterise tumour and brain injury in children with ependymoma and identify biomarkers of late neurocognitive problems. The study, funded by a grant from Children with Cancer,  working on MRI data acquired as part of the UK cohort of the European Society of Paediatric Neurooncology (SIOPE) Ependymoma II

Main duties of the job

This will involve tumour segmentation, radiomic analysis and lesion symptom mapping.

The candidate will also support the integrated analysis of imaging findings with neurocognitive and clinical outcomes using machine-learning methodologies.

Qualitative analysis of MRI scans

Develop and conduct novel MRI analyses of brain tumours

Quantitative analyses of brain injury in the early postoperative period using machine learning methods.

Detailed job description and main responsibilities

We are looking for a dynamic and motivated candidate to support qualitative analysis of the scans and develop and conduct novel MRI analyses of brain tumours and quantitative analyses of brain injury in the early postoperative period using machine learning methods.

The focus of our group is to develop cutting-edge translational imaging biomarkers for predicting neurocognitive late effects in children and young adults with brain tumours.

Alder Hey Children’s Hospital is the study Sponsor, and the research team comprises Neuroradiology, Neuroimaging, Neuropsychology, and data analysis experts across the UK, including an image analysis collaboration with the University of Liverpool and King's College, London.

Essential criteria include a PhD in Computer Science or a related field, experience with medical imaging datasets, and expertise in computer vision. Experience with state-of-the-art neuroimaging software, radiomics and medical AI and deep learning techniques is desirable.