Research Fellow, Image Analyst, Digital Pathology
Application closing date 27/08/2021
Salary £33,797 - £40,322 per annum
Job category/type Research
School of Medicine, Dentistry and Biomedical Sciences is currently seeking to appoint an exceptional candidate to the post of Research Fellow (Image Analyst, Digital Pathology). The successful candidate will develop innovative approaches to image analysis (including algorithm application and design, along with automated detection and grading of cancer from microscopic images) as part of the Tissue Hybridisation and Digital Pathology (TH & DP) section of the Precision Medicine Centre of Excellence (PMC). The role will require a level of independent and creative effort in their approach to these problems, and to work closely with the Clinical & Scientific Lead for TH & DP and supported by the Research & Operations Manager for TH & DP
The successful candidate must have:
- Have or be about to obtain a PhD in Machine Learning, Deep Learning, Image Analysis or related discipline.
- At least three year’s relevant experience in the development of algorithms for the analysis of large image data, or equivalent large data sets.
- Experience in image processing tools and libraries e.g., the use of OpenCV, scikit-image, ImageJ.
- Experience of Deep Learning frameworks.
Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.
Queen’s University Belfast is recognised as one of the most diverse organisations in Northern Ireland. We are committed to equality of opportunity, fair participation and welcomes applications from all. However, our Fair Employment Equality Monitoring data tells us that individuals from the Protestant Community also currently under-represented in this category of work. As such, we particularly welcome applications for this role from individuals who identify with these backgrounds and / or communities.
For further information on our commitment to Equality, Diversity and Inclusion, including our work in relation to Gender Equality (Athena SWAN), LGBTQ+ inclusion (Stonewall Workplace Equality Index), Disability and Race (Race Equality Charter) please visit: www.qub.ac.uk/diversity and/or www.qub.ac.uk/qgi
For further information and details on the University’s Staff Networks please visit: https://www.qub.ac.uk/sites/StaffGateway/StaffNetworks/