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ALLSTAT  July 2011

ALLSTAT July 2011

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Subject:

JOB: PhD position at the University of Nottingham

From:

Theodore Kypraios <[log in to unmask]>

Reply-To:

Theodore Kypraios <[log in to unmask]>

Date:

Mon, 18 Jul 2011 10:51:08 +0100

Content-Type:

text/plain

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PhD Research Project in Veterinary Epidemiology -- Mastitis in Dairy Cows.

University of Nottingham
School of Veterinary Medicine and Science


Background:
The School of Veterinary Medicine and Science at the University of Nottingham is 
the first brand new, purpose-built veterinary school in the UK for over 50 years 
and it is our intent to make significant leading contributions to both 
veterinary research and teaching within the context of valid relevance and 
application to the wider veterinary profession.

Research is central to the activities of the School, both in terms of 
maintaining ourselves at the forefront of national and international efforts in 
veterinary medicine but also as an integral part of the training and education 
for undergraduate and postgraduate students. In the 2008 Research Assessment 
Exercise, the School of Veterinary Medicine and Science joint submission with 
the School of Biosciences was ranked first in the country for the power of its 
research with 95% of its activities classified at an international standard.

Project Description:
We are looking for a motivated, high calibre graduate with an interest in dairy 
cows to complete a four-year BBSRC CASE PhD studentship entitled “A Bayesian 
decision-theoretic framework to evaluate and optimize decision making for 
mastitis control in the UK Mastitis Control Scheme”. The position is available 
from 1st October 2011, and the successful candidate will join an outstanding 
research team in quantitative dairy science at the School of Veterinary Medicine 
and Science, University of Nottingham. The studentship is supported by an 
industrial partner, DairyCo.

The research will use data from the current national mastitis control scheme 
(DairyCo Mastitis Control Plan) to evaluate the efficacy of different management 
controls in different farm situations. A Bayesian framework will be used to 
allow synthesis of multiple sources of information and to investigate 
uncertainty in the cost benefit of interventions under different management 
scenarios. The successful candidate will receive training in specific 
mathematical elements as well as generic research methods but an enthusiasm for 
learning and applying quantitative techniques is essential.

In year 3 of the 4 year study period, the successful applicant will work 
directly with our industrial partner, DairyCo, for a six month period. During 
this time, experience will be gained of commercial research and development, 
knowledge transfer and marketing. Training will include interpersonal and 
communication skills, leadership skills and group presentations.

Funding Notes:
A background of veterinary science, animal science or applied statistics would 
be advantageous, but applications are welcome from candidates from related 
disciplines. A minimum 2.1 degree classification or equivalent is required.

Informal enquiries may be addressed to the principal supervisor: Prof Martin 
Green [log in to unmask]

Candidates should apply online and include a CV. Any queries regarding the 
application process should be addressed to Helena Percival, Postgraduate 
Admissions Officer, (email: [log in to unmask])

The studentship is funded by an augmented tax-exempt stipend of £16,051pa 
(£23,470pa for veterinary graduates) for four years.

There are potential funding restrictions for non- EU students.


-- 
Dr Theodore Kypraios
Lecturer in Statistics @ University of Nottingham
http://www.maths.nott.ac.uk/~tk

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