Research Associate (Fixed Term)

Closing Date
WorkplaceCambridge, East of England, UK


Job Opportunities


Research Associate (Fixed Term)

The Department of Radiology, with its combination of scientific excellence and access to state-of-the-art imaging facilities, is developing and applying novel imaging technologies as part of its extensive translational research programme. An opportunity has arisen for an innovative and motivated MR physicist to take part in two exciting new collaborations in the study of urological diseases.

Together with University College London (UCL), we will be developing two of the most promising new MRI techniques for microstructural and metabolic assessments in the diagnosis, risk-stratification and treatment response assessment of prostate cancer (VERDICT DWI and advanced T2-mapping/Luminal Water Imaging). In a second collaboration, Cambridge is a lead site in the UK Renal Imaging Network (UKRIN), which aims to use imaging to transform kidney health and is using quantitative MRI to characterize renal diseases such as chronic kidney disease and acute kidney injury. The aims of this project are to develop and optimise cross-centre harmonised MRI acquisition methods, acquisition protocols and analysis to address imaging and clinical needs in diffuse renal diseases. Methods of particular interest include BOLD, ASL, T1 mapping, and DWI as well as B0 and B1+ mapping.

We are seeking a full-time research associate with practical experience of setting up and performing multi-parametric MRI studies in human volunteers / patients and undertaking quantitative analysis of MRI data. The post-holder will also have the opportunity to develop and lead their own research in addition to specific work in the two collaborative projects above. We expect them to have opportunities to publish their work.

The successful candidate will be expected to integrate with an enthusiastic multidisciplinary team of people with the aim of translating these techniques into the clinical arena. Applicants should hold a Ph.D. and ideally have post-doctoral experience involving the development and application of magnetic resonance methods, ideally with specific experience and expertise in using MRI for prostate and/or renal applications. The candidate should have a keen interest in the biological application of associated MR techniques to address clinical questions, particularly in urology, and possess excellent computing skills (programming in MATLAB and working with UNIX/LINUX and Windows operating systems). Specific experience of using GE MRI scanners and in pulse sequence programming would be advantageous but are not pre-requisites.

Fixed-term: The funds for this post are available until 30 April 2022 in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment and a standard Disclosure and Barring Service check. This appointment also requires a Research Passport application.

Click the ’Apply’ button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload your Curriculum Vitae (CV), a covering letter and research publication list in the Upload section of the online application. If you upload any additional documents, which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including e-mail address and phone number, one of which must be your most recent line manager.

Closing Date: 13th June 2019

Interview Date: likely to be w/c 24th June 2019

Please quote reference RQ19125 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information


Department of Radiology








13 May 2019

Closing date

13 June 2019
In your application, please refer to
and reference  JobID 164424.