Research Associate in Mathematical Image Analysis & Machine Learning for Better Food Microstructures

The Cantab Capital Institute for the Mathematics of Information (CCIMI) and the Cambridge Image Analysis group (CIA) in collaboration with Unilever are seeking strong candidates for a Research Associate position to work on a collaborative project on the analysis of microstructures in food products. The post holder will be employed by the University of Cambridge and affiliated with both CCIMI and CIA.

The research activity of the successful candidate will focus on the development of image analysis methods for segmenting and classifying microstructures in electron microscopy images of food microstructures. Further information is available in the Further Particulars.

Duties include developing and conducting individual and collaborative research objectives, proposals and projects. The role holder will be expected to plan and manage their own research and administration, with guidance if required, and to assist in the preparation of proposals and applications to external bodies. He or she must be able to communicate material of a technical nature and be able to build internal and external contacts. He or she may be asked to assist in the supervision of student projects, the development of student research skills, provide instruction or plan/deliver seminars relating to the research area. An allowance for research expenses is included in this position.

Applicants must have (or about to receive) a PhD degree in mathematics or statistics (or a closely related discipline), and have a demonstrably excellent research record and future research potential. The ideal candidate will have experience in image analysis, in particular image segmentation and classification, and in machine learning.

For more information, and to apply online for this vacancy, please visit http://www.jobs.cam.ac.uk/job/17355/

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