[Dear colleagues, i would be grateful if you can disseminate this advert
through your channels]
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* 1 4-year PhD Studentship in Developing machine learning strategies for
the forecasting of disease and vice incidence in pigs
* Location: School of Computing, Newcastle University, UK
* Start date: September 2019
* Deadline: 28 June 2019
* Sponsor: Agriculture and Horticulture Development Board (AHDB)
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* Value of award
100% of UK/EU tuition fees paid and annual living expenses of £15,009
(full award).
* Overview
Newcastle University is offering a unique studentship opportunity to
join an interdisciplinary team with world class reputation in the area
of precision and digital farming.
The western world has ever-increasing needs for cheap and safe food
sources and, hence, enhancing livestock efficiency in farms, while
ensuring adequate well-being conditions for animals becomes crucial.
Machine learning algorithms are key to develop innovative analytical
approaches to inform better management decisions in agricultural systems.
This studentship will develop approaches based on machine learning (ML)
and predictive analytics to forecast production trends and the incidence
of disease and vice (e.g. tail biting) in pigs. Through the partnership
with AHDB we will have access to high value pig industry datasets, and
the studentship will investigate innovative strategies on processing
this wealth of data with ML to extract knowledge that can inform farm
management and policy.
The studentship requires highly motivated candidates interested in
applying their computing/mathematical skills to a real-life problem that
will improve the health and welfare of animals.
* Eligibility Criteria
The successful applicant will have a minimum of an upper second class UK
honours degree, or equivalent, in computing science, mathematics,
applied mathematics, statistics or related disciplines, and preferably
an MSc degree in the same or similar areas. Applicants with a degree
related to data science are particularly encouraged.
The award is available only to UK or EU/EAA nationals who have three
years’ residence in the UK prior to the date of the start of the award.
* How to apply
You must apply through the University’s online postgraduate application
system. To do this please ‘Create a new account’.
All relevant fields should be completed, but fields marked with a red
asterisk in the application portal must to be completed. The following
information will help us to process your application.
You will need to:
insert the programme code 8010F in the programme of study section
select PhD in Agriculture and Rural Development (FT) – Animal
Science as the programme of study
insert the studentship code NES014 in the studentship/partnership
reference field
attach a covering letter and CV. The covering letter must state the
title of the studentship, quote reference code NES014 and state how your
interests and experience relate to the project
attach degree transcripts and certificates and, if English is not
your first language, a copy of your English language qualifications.
* Contact
[log in to unmask]; [log in to unmask]
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Jaume Bacardit, PhD
Reader in Machine Learning
Newcastle University
The Interdisciplinary Computing and Complex BioSystems research group.
Web: http://www.ico2s.org/
Twitter: @ico2s
School of Computing, Newcastle University.
1 Science Square, Science Central, Newcastle upon Tyne, NE4 5TG, UK
Email: jaume _dot_ bacardit _at_ newcastle.ac.uk _dot_ ac _dot_ uk
Web: http://homepages.cs.ncl.ac.uk/jaume.bacardit
Twitter: @jaumebp
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