Research Associate in Machine Learning Applied to - Manchester, United Kingdom - The University of Manchester

The University of Manchester

Verified Company

Manchester, United Kingdom

2 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Applications are invited for a
Research Associate in Imaging Science, in the Division of Informatics, Imaging and Data Sciences. The post is available immediately and will be tenable on a fixed term basis until 31 December 2024.

You will join the Centre for Imaging Sciences and take responsibility for a defined area of research, under the supervision of Prof Sue Astley.

You will develop and evaluate software to quantify mammographic density in standard and ultra-low-dose mammograms.

Mammographic density is related both to an individual's risk of developing breast cancer, and to the likelihood that early signs of cancer in a woman's breast will be detected by mammographic screening.

A safe and effective method for assessing breast density in young women will allow personalisation of screening, so those with dense breasts and a high risk of developing breast cancer can be screened using additional imaging modalities, increasing the chance of early detection of signs of abnormality.

You will build on our existing work using machine learning to identify regions of fatty tissue, model the shape of the compressed breast, calibrate the pixel values in standard mammograms and quantify breast density.

You will use deep machine learning methods to define the relationship between standard mammograms and their ultra-low-dose counterparts, extend our methods across a range of mammogram systems, train convolutional neural networks (CNN) on both real and simulated low dose images, and evaluate all methods systematically.

In addition, you will use similar methods assist with the analysis of breast density data from other clinical studies, including a study investigating mammographic predictors of risk of recurrence.

You should have previous experience in computer vision, medical image analysis, machine learning, or AI, with a PhD or equivalent experience in one of these areas.

You should also have previous experience in programming in C, C++, Matlab, Python or similar languages. Experience of scientific algorithm/methods design and statistical evaluation, and a developing publication record, would advantageous.

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status.

All appointments are made on merit.

Our University is positive about flexible working you can find out more _here

Blended working arrangements may be considered

Enquiries about the vacancy, shortlisting and interviews:

Name:
Prof Sue Astley

General enquiries:

Technical support:

**Please see the link below for the Further Particulars document which contains the person specification criteria.