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Research Fellow Position: Stochastic Analysis of Single Molecule Microscopy Data, at Uni Cambridge

Research Fellow Position: Stochastic Analysis of Single Molecule Microscopy Data

Signal Processing and Communication Laboratory Department of Engineering University of Cambridge

Centre for Cancer Immunology
University of Southampton, UK

Research Fellowship: £30,942 – 38,017 p.a.
(Additional supplements are available for exceptionally qualified applicants)

Deadline: Friday 28 February 2020


Applications are invited for a post-doctoral fellowship to carry out research on a joint project between Dr. Sumeetpal Singh at the Department of Engineering, University of Cambridge and Prof.
Raimund J. Ober at the Centre for Cancer Immunology at the University of Southampton.

Single molecule microscopy is an important new methodology that promises to provide major new insights into biomedical processes.
The data however, is very challenging to analyse due to the low signal-to-noise characteristics and the low photon count imaging characteristics and the necessarily complex probabilistic description underlying the acquired data. As a result, advanced statistical and computational methods need to be developed for the analysis of such data. This project aims to employ recent innovations from Machine Learning, Statistics and Signal Processing to analyse single molecule data, e.g. methods based on multi-object tracking, particle Markov Chain Monte Carlo, stochastic gradient methods etc. The project scope is flexible and covers issues concerning the tracking of molecules, model calibration, model identifiability, efficiency of estimators, and optimal experimental design. Project outcomes will be packaged as a suite of efficient computational methods for single molecule studies.

This is a unique opportunity to engage in an impactful application using modern stochastic and algorithmic methods. As such the candidate will have a very strong background in statistical and mathematical techniques with a Ph.D. in a relevant subject. A background in single molecule microscopy is not required. At the University of Southampton site the research fellow will be part of a highly interdisciplinary research group in the laboratory of Professors Ober and Ward who are currently relocating their research group from the USA. The group will consist of basic scientists, image analysts, microscopists and mathematicians/statisticians, engineers and computer scientists. The research program is devoted to the development of novel antibody-based therapeutics that, to date, have led to several new therapeutics that are currently in advanced clinical trials. This focus is supported by the development of advanced microscopy approaches, in particular for single molecule and subcellular trafficking studies. The research program is supported by major grants from the Wellcome Trust, Cancer Research UK, Faculty of Medicine and collaborating biopharma companies.

At the University of Cambridge, Dr. Singh is a Reader at the Engineering Department and is also a Fellow of the Alan Turing Institute.
Dr Singh’s research group is part of the Signal Processing and Communication Laboratory at the Engineering department and the focus of his group is on statistical modelling and inference for data-centric engineering. The Signal Processing and Communications Laboratory is home to 5 faculty members and some 35 research staff and research students. The laboratory has a strong track record in innovation in Data Science, Bayesian computational methodology, e.g. Particle filters, Markov Chain Monte Carlo; other areas of research include modern applications of Information theory and image processing.

The post will be based at the Centre for Cancer Immunology at Southampton General Hospital, a newly constructed research building that is the result of a significant fund-raising campaign. The Centre builds on a 40 year history of pioneering immunology and cancer research at Southampton. It is the first dedicated cancer immunology centre in the UK that brings the complete research pipeline under one roof: from pioneering discovery science to applied research and preclinical modelling and crucially onto first-in-human clinical trials and beyond. It is home to world-class research facilities, state-of-the-art scientific laboratories and a Clinical Trials Unit.

The position is currently planned to be for a length of two years.

Candidates from the EU and outside the UK/EU are also encouraged to apply.

In addition to the salaries listed above, benefits such as membership in a pension scheme is also provided.

Application details can be found at:
https://jobs.soton.ac.uk/Vacancy.aspx?id=22468&forced=2

Please send expressions of interest to Prof. Raimund J. Ober at r.ober@soton.ac.uk and Dr. Sumeetpal Singh at sss40@cam.ac.uk .

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