Research Fellow (Optimam2) Univesity of Surrey Department of Electrical and Electronic Engineering

Research Fellow (Optimam2) 022218
https://jobs.surrey.ac.uk/022218
https://jobs.surrey.ac.uk/Vacancy.aspx?id=4786&forced=1

JOB ADVERT

Department of Electrical & Electronic Engineering

A Research Fellow opportunity exists within the Faculty of Engineering and Physical Sciences to start as soon as possible for an initial period of 7 months, working on the CR-UK Optimam2 project. This position may be extendable for a period of up to 5 years.

This is comprised of a consortium led by the National Coordinating Centre for the Physics of Mammography, in association with the University of Surrey, the University of Leuven, St George’s Hospital London and Addenbrooke’s Hospital Cambridge. The Optimam2 project is aimed at developing methods based around the Virtual Clinical Trials paradigm for optimizing the use of imaging technology for X-ray breast cancer screening. See:

https://medphys.royalsurrey.nhs.uk/nccpm/?s=optimam-main

The two immediate research activities are to:

1. further develop and validate our Deep Learning Model Observer,

https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10577/105770Q/A-Deep-Learning-Model-Observer-for-use-in-Alterative-Forced/10.1117/12.2293209.short?SSO=1

2. to further develop and validate a spiculated lesion model. 

https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10573/105730B/Design-and-validation-of-biologically-inspired-spiculated-breast-lesion-models/10.1117/12.2293421.short

You should ideally have experience working in the field of X-ray mammography/radiology, and machine learning and have strong computational skills. A record of high quality publications is also highly desirable as is a demonstrated ability to work independently.

The post is based in the world renowned Centre for Vision Speech & Signal processing:

http://www.surrey.ac.uk/cvssp/

 and as such offers world class computational facilities. The candidate will also be required to spend time working at collaborating sites, including NCCPM:

https://medphys.royalsurrey.nhs.uk/nccpm/

You should therefore be willing to work as part of a multi-disciplinary team, and to assist, as needed, working with others in this multi-disciplinary research programme.

Good communication andorganisationalskills, and an approachable disposition are therefore highly desirable.

A PhD in a relevant area, or equivalent clinical/research experience in radiological imaging is required. 

Informal enquiries can be made to Dr Kevin Wells by email: k.wells@surrey.ac.uk or telephone + 44 (0)1483 686036.

Please note, it is University Policy to offer a starting salary equivalent to Level 3.6 to successful applicants who have been awarded, but are yet to receive, their PhD certificate.  Once the original PhD certificate has been submitted to the local HR Department, the salary will be increased to Level 4.1.

Further details:

For more information and to apply online, please download the further details and click on the 'apply online' button above.

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