We are now advertising the next postdoctoral job for the EVAL-FARMS project. This is a part time role (3 days/week) for three years.
Sociology & Social Policy
||£26,052 to £38,183 per annum, pro rata depending on skills and experience (minimum £29301 with relevant PhD). Salary progression beyond this scale is subject to performance
||Friday 02 December 2016
We are seeking an excellent researcher in Science and Technology Studies.
The post-holder will conduct qualitative ethnographic work and interviews on social and cultural aspects of knowledge on antimicrobial resistance in laboratory and farm settings, with the University of Nottingham, UK as the main focus.
Applicants must have a PhD (or be near to completion) in science and technology studies (STS), human geography or related field, including postgraduate training in social science research methods, or have equivalent relevant knowledge, skills and experience. You must be able to engage with a wide range of stakeholders, including scientists and farmers, as you would be part of a highly multidisciplinary team. Excellent oral and written English language skills are essential. Applicants must be highly motivated, ambitious and have a proven track record of timely research publications (from PhD or beyond).
The post is funded by the NERC EVAL-FARMS project (Evaluating the Threat of Antimicrobial Resistance in Agricultural Manures and Slurries), and will be jointly supervised by the School of Sociology and Social Policy (Institute for Science and Society/ISS) and the School of Geography.
The Associate/Fellow will be primarily located in the School of Biosciences and expect to be physically present on the Sutton Bonington campus, where the scientific work in EVAL-FARMS will be carried out. The fellow will spend roughly a third of their time on University Park where the Schools of Sociology and Social Policy, and of Geography are located.
Informal enquiries may be addressed to Sujatha Raman tel: 0115 846 7039 or email Sujatha.firstname.lastname@example.org. Please note that applications sent directly to this email address will not be accepted.
Data Analyst in Bioinformatics (two posts, fixed-term)
Applications are invited for the above posts specialising in Advanced Data Analysis, with a particular emphasis on bioinformatics. The successful candidates will carry out multi-disciplinary data analysis as part of the newly formed Advanced Data Analysis Centre (ADAC: http://www.nottingham.ac.uk/adac) at the University of Nottingham.
The persons appointed will be aligned with the bioinformatics research group housed at the school of veterinary medicine and science (http://www.nottingham.ac.uk/vet/) and will be associated with other researchers in the Advanced Data Analysis Centre.
Candidates must hold a PhD (or equivalent) in a relevant subject; experience of multi-disciplinary data analysis and a proven ability to apply a wide range of bioinformatics, statistical and computational data analysis approaches in order to analyse a variety of biological/biomedical data. It is desirable that candidates have the ability to both apply existing techniques and develop new techniques in languages such as ‘R’, ‘PERL’ or ‘Python’, have experience of data generated by high throughput techniques such as DNA sequencing or proteomics, and have an interest in broadening multi-disciplinary collaboration across academic disciplines.
Informal enquiries may be addressed to Dr Richard Emes, tel: +44 (0)115 951 6583 or email:email@example.com. Please note that applications sent directly to this email address will not be accepted. Further information about the School of Veterinary Medicine and Science is available at:http://www.nottingham.ac.uk/vet/.
The link to the job on the University of Nottingham vacancies site is here.
Research Associate/Fellow – Mathematical Modelling
- 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.
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.