Single Molecule Statistical Signal Processing
Applications are invited for a postdoctoral research assistant to work under the supervision of Professor Hagan Bayley (Oxford Chemistry) and Dr Nick Jones (Oxford Physics) on a research project for an initial period of one year. The project involves the development of advanced statistical signal processing techniques to facilitate low-cost, rapid nanopore-based DNA sequencing, with the eventual aim of making reliable base calls from long DNA strands driven through the nanopore. The group is located in the Chemistry Research Laboratory at Oxford www.chem.ox.ac.uk/ Find out more about the Bayley research group at www.chem.ox.ac.uk/researchguide/hbayley.html and the Jones group at www.physics.ox.ac.uk/cm/cmt/jones/
Applicants should either already have a PhD in a relevant subject area, or have submitted their thesis prior to taking up the post. The applicant should have a working knowledge of modern statistical signal processing methods; Effective Matlab (or equivalent), programming skills, a good background understanding of relevant physical applied mathematics and statistics.
The post will be based in the Chemical Biology Group of the Chemistry Research Laboratory, Mansfield Road, Oxford OX1 3TA. The researcher will also have a desk in the Physics department. For further particulars of the post, including how to apply, visit our website http://www.chem.ox.ac.uk/jobs.asp . These should be obtained before an application is made. Informal enquiries should be addressed to [log in to unmask] or [log in to unmask] Please quote reference DQ10001/HB in all correspondence.
Further Details are available for download here: http://www.chem.ox.ac.uk/jobs/DQ10001-HB-FPs.pdf or by e-mail to [log in to unmask] quoting reference DQ10001/HB.
Application deadline for this post is 16 April 2010
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