<div dir="ltr"><br><div class="gmail_quote">---------- Forwarded message ----------<br>From: <b class="gmail_sendername">Rafael de Andrade Moral</b> <span dir="ltr"><<a href="mailto:rafael.moral@usp.br">rafael.moral@usp.br</a>></span><br>Date: Wed, Jul 25, 2018 at 11:56 AM<br>Subject: Oportunidade de mestrado com bolsa na Irlanda<br>To: clarice demetrio <<a href="mailto:clarice.demetrio@usp.br">clarice.demetrio@usp.br</a>><br><br><br><div dir="ltr"><div>Oi Clarice, tudo certo?</div><div><br></div><div>O prazo é curto e a posição começa em setembro, mas a Sra. acha que dá pra noticiar nas listas da ABE e RBras (ou em outro lugar que a Sra ache adequado)?</div><div><div><br></div><div><div>Abraços,</div><div>Rafael</div><br></div><div>Informações --<br></div><div><br></div><div><b>DAFM- funded research Master’s studentship :<br></b></div><div><b>Forecasting the time of emergence of an important forestry pest </b></div><div><p>In
Integrated Pest Management, appropriate timing of management measures
can help reduce the amount of pesticides or other agents used. This
depends on the ability to predict the timing and severity of pest
attack. The large pine weevil, Hylobius abietis, is a serious pest of
forestry in Ireland and throughout northern Europe. Development takes
place in the stumps of felled conifer trees and emerging adults feed on
young trees newly planted on site. Currently, young trees are protected
by chemical insecticides, applied when weevil attack is expected. As
part of a larger project on Integrated Pest Management of this insect,
the master’s project will use simulation modelling and existing data on
weevil populations in Ireland in a novel approach to improve forecasting
of weevil attack, based on stump assessment of weevil developmental
stage and subsequent weather conditions, and likely impacts of climate
change on weevil life cycles. The project will use a simulation model
(Wainhouse et al., 2014, Agric. Forest Entomol. 16, 136-146) developed
to represent geographic variation in voltinism of pine weevil under
climate change; we have already shown that this model could be used to
predict site-specific patterns of weevil emergence based on data from
local weather stations. In this project, we will build on these
preliminary findings, (a) incorporating data from additional sites to
detect potential site-specific factors that could be taken into account
in order for the model to more reliably provide accurate predictions of
weevil emergence, (b) incorporating data on weevil population structure
in stumps, (c) developing a simplified version of the model using
in-stump population structure as a starting point and weather
(temperature) data to forecast timing of weevil emergence and (d)
refining the stump-assessment protocol currently used by forest managers
to take account of weevil population structure and subsequent local
weather conditions to more accurately predict timing and extent of
weevil emergence. </p><p>This desk-based project will be supervised by
Prof Christine Griffin of Biology, Dr Rowan Fealy of Geography and Dr
Rafael de Andrade Moral of the Mathematics and Statistics Department at
Maynooth University. </p><p>The master’s scholarship is €24,000 euro
per annum for two years, to include tuition fees (€6,200 for EU students
in 2018/19), with the remainder of the studentship paid monthly as a
tax-free stipend. </p><p>Applicants should have a primary degree
(minimum 2.1) in Biology, Environmental Science or a related discipline
and must be highly numerate. Candidates must also have excellent written
and oral communication skills, and be able to work independently and as
part of a team. Familiarity with statistical modelling and/or
programming, preferably using R, would be an advantage. </p><p>Applicants
should submit a full curriculum vitae (with names and contact details
of two referees) and a letter outlining why you are interested in the
position and why you are suitable for it, to <a href="mailto:Christine.griffin@mu.ie" target="_blank">Christine.griffin@mu.ie</a> by
14th August 2018. </p></div><div><b>Link:</b> <a href="https://euraxess.ec.europa.eu/jobs/327418" target="_blank">https://euraxess.ec.europa.eu/<wbr>jobs/327418</a></div></div></div>
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