[Job-offers-cs] Research associate position in Cambridge

Pekka Orponen pekka.orponen at aalto.fi
Thu Feb 21 22:23:59 EET 2019


-------- Forwarded Message --------
Subject: [SIAM-OPT] Research associate position in Cambridge
Date: Thu, 21 Feb 2019 05:36:06 -0800
From: Carola-Bibiane Schönlieb <cbs31 at cam.ac.uk>
To: Pekka Orponen <pekka.orponen at aalto.fi>
CC: Optimization SIAG mailing list <siam-opt at siam.org>

Dear All,

I would be glad if you could bring the research position below (tenure 2 
years) to the attention of suitable candidates. This is an 
interdisciplinary project of the Cambridge Advanced Imaging Centre, the 
Laboratory for Molecular Biology, the Sainsbury Lab and my group in 
Mathematics. Closing date for applications is the 27th of March.

Thank you! and all the best,
Carola Schönlieb

Shortcut to the add and more information here 
http://www.jobs.cam.ac.uk/job/20474/
Research Assistant/Associate: Image Processing (Fixed Term)

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.

To apply online for this vacancy, please click on the 'Apply' button 
below. This will route you to the University's Web Recruitment System, 
where you will need to register an account (if you have not already) and 
log in before completing the online application form.

Informal enquires regarding the position should be made to Dr Leila 
Muresan email: lam94 at cam.ac.uk

Please quote reference PM18217 on your application and in any 
correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are 
eligible to live and work in the UK.



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