Postdoctoral Training Fellow in Cancer MRI

PLEASE NOTE: This vacancy is now CLOSED

Salary Range: £32,844 – £40,902

Location: Quantitative Biomedical Imaging (QBI) Team, Radiotherapy and Imaging Division, ICR,Sutton

Hours: Full-time, Fixed-term contract for 3 years

Closing date: 28 March 2021

Job Description

The Quantitative Biomedical Imaging (QBI) Team uses MRI, CT and other imaging modalities to develop and validate imaging biomarkers of tumour structure and function. Our work spans preclinical, first-in-human and translational imaging across a range of biological models, tumour types and therapies.
The Division of Radiotherapy and Imaging is investigating new imaging methods to diagnose cancer, and ways in which advances in technology and molecular biology can improve radiation treatment.

The post holder will develop data acquisition strategies for oxygen-enhanced MRI. The subsequent aim is to then these methods to a clinical study evaluating how tumour hypoxia affects the effectiveness of novel targeted therapies.

The appointee will work as part of a multi-disciplinary team of image analysis scientists, imaging physicists, mathematicians, statisticians and clinicians. We are seeking a highly motivated individual with a strong publication track record and excellent team working skills who will drive the research program forward. Work arrangements are flexible with a proportion of time allowed for working at home as negotiated with the line manager.

Skills, Knowledge and Experience
Candidates should hold a PhD in a relevant field (computer science, mathematics, physics or closely-related topic). Having state registration as a Medical Physicist would be desirable, but is not essential. They should have experience in both advanced medical image analysis (particularly CT and MRI) and in mathematical modelling, data mining and machine learning. Strong scientific programming skills in programmes such as C, C++, Matlab and Python are essential. Experience in working in clinical imaging research studies is expected (preferably cancer).

For more information and to apply for the vacancy please click here.