| Date & time | Nov 22 '21 |
| Ends on | Nov 29 '21 |
| Location | The University of Edinburgh, United Kingdom |
| Creator | fbergstrom |
| Category | job-position-vacancy |
| Registration | Link |

Supervisors: Professor Rowland Kao, Anthony O’Hare, Dr. C. Benton, Dr. Eleftheria Palkopoulou.
Whole genome sequencing (WGS) data has
transformed our understanding how pathogen emerge, spread and are
maintained. They provide direct evidence of transmission links at a very
fine scale, and make possible high resolution estimates of when an
emergent outbreak started, and what the rate of spread is between
geographical regions or between species. They are invaluable for
studying multi-host pathogens, particularly involving wildlife. However
better methods of analysis are still needed, in turn requiring good
study populations to develop them on. One exemplar with many ideal
features is bovine Tuberculosis in British and Irish cattle and badgers
(bTB, caused by Mycobacterium bovis), where there are many excellent,
dense datasets ideal for developing new methods and insights.
Use of WGS for bTB is especially
valuable, because the disease places a high burden on the farming
community, and the use of culling to control Tb in badgers (widely used
in much of Britain and Ireland at least until now) has been
controversial. The UK government is following a TB strategy that aims
for official disease freedom by 2038 (https:///...e-status-for-england). To achieve this, it is moving away from badger culling and is
instead relying on a combination of cattle and badger directed control
options, and it is increasingly looking to the potential for vaccination
to control the disease in both species. However, for these measures to
succeed, we need a deeper understanding of how badger and cattle combine
to maintain Tb in cattle, as this determines, for example, minimum
requirements for vaccine coverage in either species, and how it should
be targeted (how many, and over what area?).
Project candidates will have good
evidence of mathematics or statistics skills and preferably experience
of computer programming, They will use existing datasets and novel ones
generated over the course of this project to analyse the spatial and
temporal relationships of M. bovis sampled from cattle and badgers and
compared to datasets where samples from cattle alone are available. They
will develop methods to determine local foci of infection and identify
genetic signatures consistent with badger dominated, cattle dominated,
and balanced transmission patterns. The project has the potential to
inform appropriate targeting of future control of M. bovis transmission
in the two species. The student will learn new quantitative methods as
well as gain experience of data interpretation at the national reference
laboratory and a long term (over four decades long) badger study site.
This 4 year PhD project is part of a competition funded by EASTBIO BBSRC Doctoral Training Partnership (DTP) http://www.eastscotbiodtp.ac.uk/how-apply-0 .
EASTBIO Application and Reference Forms can be downloaded via http://www.eastscotbiodtp.ac.uk/how-apply-0
Please send your completed EASTBIO Application Form along with a copy of your academic transcripts to [email protected]
You should also ensure that two references have been send to [email protected] by the deadline using the EASTBIO Reference Form.
This opportunity is open to UK
and international students and provides funding covering stipend and UK
level tuition fees. The University of Edinburgh covers the difference
between home and international fees meaning that the EASTBIO DTP offers
fully-funded studentships to all appointees. There is a cap on the
number of international students the DTP recruits. It is therefore
important for us to know from the outset which fees status category
applicants will fall under when applying to our university.
Please refer to UKRI websiteand Annex B of the UKRI Training Grant Terms and Conditionsfor full eligibility criteria.
Closing Date: 16th December 2021
The Wall