[MIUA] Postdoc in Machine Learning in Microscopy Image Analysis
Postdoc Position Available in Machine Learning in Microscopy Image Analysis
A 12-month postdoctoral post is available at the University of Sheffield, funded by the BBSRC, to investigate the development and function of the zebrafish inner ear from the embryo through to the adult. The project aims to use, develop and implement software for the computational analysis of large imaging datasets generated by light-sheet microscopy. This will involve the use and development of novel tools for automated cell segmentation, tracking and quantitative analysis.
The post holder will work within the group of Professor Alejandro Frangi in the Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB; Faculty of Engineering), but will also spend regular time liaising with the Whitfield lab in the Bateson Centre and Department of Biomedical Science.
The successful candidate should hold a PhD (or equivalent) in a relevant subject, with particular interest or expertise in biological image analysis, microscopy, medical image computing, computer vision or machine learning. Preference will be given to applicants with a proven record of accomplishments in image analysis for microscopy. Experience with packages such as Fiji, Arivis and Imaris would be an advantage. The postholder will assist in the supervision of one or more postgraduate students whose projects are closely allied to the objectives of the grant.
This post is fixed-term for 12 months, with an immediate start date.
Applications can be made directly online at:
https://www.sheffield.ac.uk/jobs (job ref: UOS017267)
The deadline for applications is Oct 21st 2017.
For further information, please contact:
Download Computational Image Analysis for Microscopy (PDF, 1.89Mb)
Centre for Computational imaging & Simulation Technologies in Biomedicine
Department of Electronic and Electrical Engineering