University of Manchester
Applications are invited for the role of Research Associate in artificial intelligence applied to spectroscopic imaging. The project involves the analysis of infrared hyperspectral imaging data of prostate tissue samples using spatial image models and AI to improve the risk stratification of prostate cancers patients. The data set consists of ~120 million individual spectra from over 500 patients with 20-year follow up. The post-holder will be responsible for the development and application of new algorithms that are optimised for both spatial and spectral domains. The post-holder will also help develop workflows, contribute to experimental design prior to data collection, be responsible for new data collection from unseen samples and will contribute to writing up work for journal papers and presentations. This multidisciplinary project is a collaboration between the Gardner Lab at the University of Manchester and Dr Sachdeva at the Manchester Cancer Research Centre & The Christie Hospital, with input from experts in machine learning (ML), histopathology and multi-omics. The post holder will be expected to attend regular meetings of the project team, present at conferences and attend relevant workshops.
The successful applicant will have a PhD or equivalent in a relevant discipline and must have a good working knowledge of a variety of ML algorithms. Experience of programming in a language relevant for ML is essential as are good communication skills, given the interdisciplinary nature of this post. Some knowledge of spectroscopy and image analysis is desirable but not essential. You should also have good recording and curation skills to enable timely completion of the project. Candidates with a track record of publications in area(s) related to ML and with strong statistical data analysis skills are particularly encouraged to apply.
The School/Department is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School/Department holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff achieve a good work-life balance. All appointment will be made on merit. For further information, please visit: http://www.ceas.manchester.ac.uk/about-us/athena-swan/
Our University is positive about flexible working – you can find out more here
Blended working arrangements may be considered
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Enquiries about the vacancy, shortlisting and interviews:
Name: Peter Gardner
Email: [email protected]
Email: [email protected]
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
View or Apply
To help us track our recruitment effort, please indicate in your cover/motivation letter where (vacanciesineu.com) you saw this job posting.