Research Fellow (fixed term) MED099518

University of Nottingham - Veterinary Medicine & Science

This post is available from 1 June 2018 and will be offered on a fixed term contract until 31 May 2019.

Job share arrangements may be considered. 

This project is funded by Innovate UK and involves an academic and industry consortium with industry partners as Dunbia and Farm Wizard and University of Nottingham as academic lead. The project seeks to address the challenge of sheep lameness, a predominant cause of both poor productive and reproductive performance causing a reduction in product value to the farmer, processor, retailer and consumer. By researching the environmental and other contributing factors and assessing the effectiveness of the lameness data collection and feedback systems (using innovative hardware and software systems developed as part of this project) in facilitating a targeted risk based control strategy, our consortium intends to reduce lameness, improve production and welfare on farms. 

The main duty of this post will be to undertake statistical modelling of longitudinally collected data (lameness, other health and production parameters) on farms that are part of a trial where we are testing effectiveness and usefulness of newly developed innovative system (hardware and software) for data collection. The successful candidate will join a vibrant and expanding group of researchers in sheep and cattle health and epidemiology in the School of Veterinary Medicine. More about the associated research can be found here https://www.nottingham.ac.uk/research/groups/population-health-and-welfare/index.aspx

Candidates must hold a PhD in statistics, mathematics or related quantitative field. Excellent statistical skills, formal training in applied statistics or statistics of epidemiology and sufficient breadth or depth of specialist knowledge in quantitative research methods. They must also have experience of publishing high quality peer reviewed journal articles and due to multi-disciplinary nature of the project, experience working in multidisciplinary projects, good communication and team working skills are also essential. 

Informal enquiries may be addressed to Dr Jasmeet Kaler, email Jasmeet.kaler@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.

It is a condition of this post that satisfactory basic disclosure is obtained.

The University of Nottingham is an equal opportunities employer and welcomes applications from all sections of the community.

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Midlands of England