Research Associate: Imaging Analysis (Fixed Term)
Position: Research Associate
Institution: University of Cambridge
Location: Cambridge, UK
Application closes at: Jun 23rd, 2019 23:59
The Department of Radiology with its combination of scientific excellence and access to state-of-the-art imaging facilities is collaborating with seven Cancer Centres in developing novel technologies to apply to the study of Cancer. The National Cancer Imaging Translational Accelerator (NCITA) is a £10M Cancer Research UK (CRUK) project that addresses the gaps in translation of imaging biomarkers either as tools for clinical trials or to aid clinical decision making. NCITA brings together seven of the leading cancer imaging centres (Cambridge, Imperial, ICR, KCL, Manchester, Oxford and UCL) through a network of imaging-dedicated cross-institutional infrastructure. There will be opportunities to develop image analysis software and mathematical modelling of time-dependent signals. The aim of advancing imaging technologies and applications draws on Cambridge's strengths in physics, applied mathematics and engineering, and is an important component of our clinical research programmes across a wide range of diseases.
We are seeking a research associate with excellent software development skills and a keen interest in radiomics and machine learning, applied to oncological imaging. The main roles of this post are to analyse and interpret images derived from a variety of medical imaging modalities including CT, MR, PET/CT and PET/MR; develop methods to correlate these images with histology derived following surgery; study the correlation between the parameters derived on imaging and biological factors relating to the tumour; and develop, evaluate and apply machine learning algorithms to analyse the multiparametric medical images in a range of cancers.