We are now recruiting the mathematical modelling post-doc for the EVAL-FARMS project. This post will work with me, Theo Kypraios in Maths, and the EVAL-FARMS team more generally, developing mathematical models for risk of emergence of AMR pathogens in agricultural waste, using all the exciting data that are being generated by the empirical researchers on the grant. Details of the advert, as well as links to it, are:
£26,052 to £38,183 per annum, depending on skills and experience (minimum £29301 with relevant PhD). Salary progression beyond this scale is subject to performance
Wednesday 28 June 2017
We are seeking an excellent researcher in modelling of antimicrobial resistance. The successful applicant will use mathematical and statistical models to make predictions on risk of emergence of antimicrobial resistant pathogens in a farm slurry system and slurry amended soil. The post is funded by NERC-led EVAL-FARMS project (Evaluating the Threat of Antimicrobial Resistance in Agricultural Manures and Slurries). Thus the role holder will work closely with an interdisciplinary team, including experimental researchers in microbiology and analytical chemistry, and social researchers in science and technology studies, in order to develop meaningful, data driven risk models that could inform policy and practise. The work will involve deterministic and stochastic models, Bayesian statistics, data analysis and presentation.
Applicants must have, or be very close to completing, a PhD in mathematical, computer or statistical models applied to a relevant area in the biological or environmental sciences. Research experience in applying such models in antimicrobial resistance, metagenomics, analytical chemistry and/or water quality would be desirable. Applicants must be able to demonstrate skills in Bayesian approaches, including relevant computational techniques such as MCMC, development and analysis of deterministic and stochastic models, programming in a relevant language (e.g. R, Python or Matlab) and a broader appreciation of science. Applicants must also be able to demonstrate research ambition through timely publication of research, coupled with commitment to the research project as part of their on-going career development. Excellent oral and written English language skills are essential.
The post is a joint appointment between the Schools of Biosciences and Mathematical Sciences. The post holder will normally work on the Sutton Bonington Campus, and will also have meetings on the University Park Campus with staff in the School of Mathematics and other collaborating schools.
School of Biosciences – Division of Agricultural & Environmental Science, Multidisciplinary Centre for Integrative Biology
£24766 to £29541 per annum depending on skills and experience, minimum £27,854 per annum with relevant PhD.
This full-time post is available on a fixed term contract for a period of two months.
Applications are invited to join a highly motivated multi-disciplinary team of research scientists working the Universities of Nottingham and Birmingham. The successful candidate will join a jointly funded project to carry out modeling of occludin trafficking during epithelial polarization and wound healing. The post could be located either in the School of Biosciences at the University of Nottingham’s Sutton Bonington Campus, or at the School of Biosciences at the University of Birmingham.
The work will include (i) developing a mathematical models (using ODEs) to describe the turnover of occludin protein in the cell as well as the kinetic trafficking of occludin between cellular compartments; (ii) to estimate model parameter values from experimentally derived data using Monte Carlo Markov Chain approaches; and (iii) to iteratively improve the model, with cycles of model and data comparison, in order to provide greater certainty about the important mechanisms involved that can explain the experimental data. Other duties will include contributing to publication of this research in peer-reviewed journals, contributing to writing of research grant applications, and generally collaborating between disciplines and institutions.
The successful candidate must have a PhD or equivalent in mathematical modelling or statistics or a related area. Research experience within a mathematical biology or systems biology research area would be desirable but not essential. Candidates must to be able to demonstrate excellent mathematical ability, especially in the areas of ordinary differential equations and statistical analysis of data; experience of application of these skills to biological research would be desirable. Candidates must also be able to evidence excellent computing skills in a suitable environment (e.g. R or Matlab). 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.
One Year Masters by Research into Mathematical / Computational Analysis of Phenotype Responses of Brewers’ Yeast
Applicants are invited for a one year MRes co-sponsored by the University of Nottingham and an industrial partner into mathematical / computational analysis of phenotype responses of brewers’ yeast. The project will be under the supervision of Dr Dov Stekel and Professor Katherine Smart and will be part of the MRes in Brewing programme. It will be located in the attractive Sutton Bonington campus, and the researcher will be part of dynamic research communities in both brewing and mathematical/computational biology. The studentship would particularly suit someone with a strong mathematical or computing background with an interest in becoming engaged at the interface with high impact biological research.
Specifically, the research will include: (i) constructing mathematical models using ordinary differential equations for fitting data from Biolog™ phenotype arrays; these models may include complex lag phases, diauxie and other biological phenomena. (ii) Development of an inference scheme to identify model parameters and enable robust automated model choice; this will include use of Markov Chain Monte Carlo techniques. And (iii) application of these methods to data derived from Biolog™ phenotype arrays applied to brewers’ yeast in collaborative projects aimed at improving beer fermentation.
Applicants must hold or be about to complete a first degree in a relevant quantitative subject, for example mathematics, statistics, computer science or bioinformatics, with a minimum grade of 2.1 or equivalent. They should be familiar with ordinary differential equations and knowledge of probability or statistics would be helpful. Applicants must also be able to evidence aptitude for computer programming in a suitable high level language (e.g. C++ or Java) and/or a statistical programming language (e.g. R). This Masters project will require the person appointed to be highly motivated to become engaged in biological research, to work independently and as part of a multi-disciplinary team, and be willing to learn. Excellent English language written and oral skills are also essential (minimum level for overseas students IELTS 6.0 with no less than 5.0 in each element or TOEFL score of 550, 212 for computer based tests, with at least 4 in the Test of Written English. For this scholarship, preference will be given to candidates with scores well above the minimum requirements).
We are able to offer a full scholarship to a UK or EU student that would cover all fees and include a stipend of £13,590 for the year. Candidates from outside the EU will need to find funds for the additional fees costs.
Candidates should send a detailed CV, including university grades and predicted grades, together with the names and contact details of two referees, to dov.stekel [AT] nottingham.ac.uk by 13th May.
Research Associate/Fellow – Mathematical Modelling
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.
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.