Salary: Starting salary from £31,411 - £36,386 per annum with progression opportunities to £39,745
Date advertised: Wednesday, November 23, 2022
Closing date: Tuesday, December 13, 2022 - midnight
Please quote reference: FMC295
Bournemouth University's vision is worldwide recognition as a leading university for inspiring learning, advancing knowledge and enriching society through the fusion of education, research and practice. Our highly skilled and creative workforce is comprised of individuals drawn from a broad cross section of the globe, who reflect a variety of backgrounds, talents, perspectives and experiences that help to build our global learning community.
The Faculty of Media and Communication at Bournemouth University is one of the largest of its kind in the world and has a global reputation for combining research and teaching practice. The National Centre for Computer Animation (NCCA) is the leading centre for teaching production and research in computer animation and digital effects. In 2011 BU was awarded a Queen's Anniversary Prize for the NCCA's 'World Class' teaching.
The NCCA is seeking to recruit a Research Fellow to deliver techniques and solutions related to “NLP-MMI: Marking Medical Image Report Automatically with Natural Language Processing”. The NLP-MMI will develop an automatic pipeline to evaluate the quality of a clinical report related to medical image provided by a trainee. Our primary focus will be to develop NLP tools for analysis to segment the content, identify the patterns, evaluate the accuracy of narratives base on word embeddings and analogy dataset. This will provide a useful information for trainees to evaluate their skills and improve their learning over different anatomical regions and disease conditions.
Related research experience in natural language processing, computer vision and machine learning are essential to carry the proposed research works. The task is challenging in that it includes computer vision to extract visual representations and natural language processing (NLP) to explain medical image representations in simple English sentences. We envisage that related development in this project will provide better understanding of the NLP elements to offer a matrix to describe and enhance the quality of medical image reporting for improved healthcare.
This position is available on a fixed-term basis until 1 January 2026.
For an informal discussion please contact Professor Jian Chang by emailing [email protected]
BU values and is committed to an inclusive working environment. We seek a diverse community through attracting, developing and retaining staff from different backgrounds to contribute to inspirational learning, advancing knowledge and enriching society. To support and enable our staff to achieve a balance between work and their personal lives, we will also consider proposals for flexible working or job share arrangements.