- Reference: SCI921
- Closing Date: Friday, 4th February 2011
- Job Type: Research & Teaching
- Department: School of Biosciences – Multidisciplinary Centre for Integrative Biology (MyCIB)
- Salary: £24253 to £32620 per annum depending on skills and experience (£26,523 maximum without PhD)
- Based on our Sutton Bonington Campus, this post is available from 4th April 2011, or as soon as possible thereafter and will be offered on a fixed-term contract for a period of 33 months.
Research Associate/Fellow – Mathematical Modelling
Applications are invited for the above post to join a highly motivated multi-disciplinary team of research scientists working at the University of Nottingham. The successful candidate will join a BBSRC-funded project using synthetic biology/modelling approach to improve bioluminescent reporting, molecular characterisation and exploitation of bacterial cell-to-cell communication as an antibacterial target. Long-term impacts include aiding the development of novel antibiotics targeted against important diseases such as MRSA, and the reduction in the use of animal experimentation. Details of the objectives of the grant (lay and technical summaries) can be read on http://wp.me/pVP7y-1P.
The work will include: developing mathematical models using ordinary differential equations; developing statistical inference schemes and software embedding the mathematical models (using Monte Carlo Markov Chain and/or other appropriate techniques); applying the methods to experimentally derived data; disseminating the software through appropriate open-source channels for general use. Other duties will include publication of this research in peer-reviewed journals and presentations at national and international conferences.
Candidates must have a PhD (or be awarded before or within the first six months of the employment start date) in mathematical modelling or statistics or systems biology or a related area. Research experience within a mathematical biology or biostatistics research area would be desriable but not essential. They must to be able to demonstrate excellent mathematical ability, especially in the areas of ordinary differential equations and probability; experience of application of these skills to biological research would be desirable. Candidates must also be able to evidence good computer programming skills in a suitable high level language (e.g. C++ or Java) and/or a statistical programming language (e.g. R). Excellent English language oral and written communication skills are also essential. This post will require the person appointed to be able to work independently and as part of a multi-disciplinary team, to be motivated, flexible and willing to learn.
Informal enquiries may be addressed to Dr D Stekel, Email: firstname.lastname@example.org. Please note that applications sent directly to this Email address will not be accepted.
To apply for this position, please follow the link from the University of Nottingham vacancies web site at http://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI921.