Research Fellow in Image Analysis for Advanced Microscopy
University of Birmingham - School of Computer Science
|Salary:||£29,301 to £38,183|
|Contract Type:||Contract / Temporary|
|Placed on:||16th November 2016|
|Closes:||14th December 2016|
Full time, fixed term until 31 July 2021
COMPARE – the Centre Of Membrane Proteins And Receptors – are seeking to appoint a Research Fellow in Image Analysis to develop novel approaches for the analysis and interpretation of imaging data from advanced microscopies.
COMPARE is a joint £10m Signature Institute established jointly by the Universities of Birmingham and Nottingham to develop a world-class imaging facility to study membrane proteins and receptors, the target for more than 50% of drugs. Receptors of particular interest are the GPCR and TKR families, and recent advances in microscopy, especially super-resolution techniques, enable the study of these remarkable cellular components in unprecedented detail. COMPARE Birmingham already have in place dSTORM, diSPIM and Lattice Light Sheet instruments, whilst COMPARE Nottingham have SIM and extensive FCS facilities. The range of microscopes will be expanded as the centre develops and will follow the state-of-the-art. For further information about the centre, see http://www.birmingham-nottingham.ac.uk/bn/compare/index.aspx.
The post holder will work closely with computational, physical and biological scientists to develop new approaches for the analysis and interpretation of image data from a range of cutting-edge microscopy and spectroscopy techniques. In addition to working on biologically led questions, the post holder will be expected to formulate their own research ideas and contribute to new advances in image analysis by developing new techniques and approaches that advance the boundary of the discipline.
The successful applicant will have a strong academic background in Computer Science, Mathematics, Physics, or a related discipline, with excellent analytical and computational skills. Previous experience in image analysis, computer vision, machine learning or related areas is highly desirable, but all outstanding candidates with appropriate scientific training will be considered. The position will be based in Birmingham, but frequent travel to Nottingham will be necessary.
Informal enquiries can be directed to Dr Iain Styles via email: I.B.Styles@bham.ac.uk.
To download the details of this position and submit an electronic application online please click on the Apply Online button below, please quote Job Ref in all enquiries.
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Midlands of England