UNIVERSITY OF WARWICK
Senior Research Fellow (Machine Learning for Computer Vision)
£41,526 – £49,553 per annum
Fixed term contract for 3 years, to end no later than 28 February 2023, 36.5 hours per week
There are increasing moves to replace one-size-fits-all mammography screening for breast cancer by risk-adapted screening, in which both the frequency with which women are screened and the modality are chosen based on risk of breast cancer. The aim of this project is to develop an artificial intelligence system to aid risk-stratified screening, by assessing risk of cancer at screening (detection), risk of masking due to breast density (false negative), and long-term risk of breast cancer following a negative screen. This will be done by using information from a very large repository of digital mammograms (breast x-ray). The project is funded by Cancer Research UK and will be based at the Data Science & AI Group at WMG within the University of Warwick. The project is in partnership with the Centre for Cancer Prevention, located in Central London,
and several collaborators in Europe and the USA.
As Senior Research Fellow at the University of Warwick, you will lead the research into machine learning technologies for computer vision using very large databases of digital mammography images. You will also coordinate an extensive external validation exercise, where algorithms developed during the project will be compared head-to-head with those from collaborators and elsewhere. Based at the WMG Data Science & AI Group at the University of Warwick, you will join a team of over 20 researchers specialised in data science and statistical machine learning working at the interface between academia and industry.
At WMG we are committed to supporting staff to achieve their potential. We currently hold the Athena SWAN Bronze Award and the University of Warwick holds an Institutional Silver Award: a national initiative that recognizes the advancement of gender equality, representation, progression and success for all in academia. We are supportive of staff with caring responsibilities including a generous maternity/paternity/adoption/parental leave policy, and onsite childcare facilities. We will consider applications for employment on a part-time or other flexible working basis, even where a position is advertised as full-time, unless there are operational or other objective reasons why it is not possible to do so.
For an informal conversation about this role, please contact Professor Giovanni Montana (G.Montana@warwick.ac.uk)
Closing date: 9 February 2020.