Research Assistant Image Processing at University of Cambridge

University of Cambridge, UK is offering postdoctoral fellowship position in applied mathematics. This position is available for 2 years. Applications are welcome before March 27, 2019.

Applications are invited for a two year Research Associate position to work on a project on light sheet microscopy image analysis.

The project is entitled “Scalable image enhancement for light-sheet microscopy: space varying deconvolution and image fusion”. The project is funded by the Isaac Newton Trust/Wellcome Trust/University of Cambridge Joint Research Grant awarded to Dr Leila Muresan, an RSE EPSRC fellow hosted by the Cambridge Advanced Imaging Centre. Key collaborators include Cambridge Image Analysis – DAMTP, MRC-LMB and Sainsbury Laboratories Cambridge University (SLCU).

With the advent of light sheet microscopy, imaging of large volumes (e.g. entire embryos) over several days became a reality. However the analysis of acquired datasets (on the order of terabytes) remains a challenge. The goal of the project is to develop the computational tools that will allow to unlock the potential of this technique. The image quality will be enhanced via space varying deconvolution and information fusion. The downstream analysis of the datasets will be explored. The developed algorithms will be tested and refined based on the data acquired by several light-sheet systems in CAIC, LMB and SLCU.

The successful candidate should have, or be about to receive, a PhD in computer science, applied mathematics or a related area. Experience in image processing in an interdisciplinary research environment is required. Experience in optimisation, inverse problems, data science, microscopy and high performance computing would be advantageous.

Given the interdisciplinary nature of the project, you will communicate and liaise with biologists, mathematicians, engineers and physicists forming collaborative relationships.

Fixed-term: The funds for this post are available for 2 years in the first instance.

Informal enquires regarding the position should be made to Dr Leila Muresan email:

Deadline: March 27, 2019
Apply Link:

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