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December 1, 2012 EvolDir 45<br />

Fenton (Dept of Evolution, Ecology & Behaviour) Dr<br />

Kieran Sharkey (Dept of Mathematical Sciences)<br />

There is great interest in the community context of<br />

host-parasite associations - hosts and parasites are not<br />

isolated, but are embedded within wider ecological communities.<br />

This leads to various important questions:<br />

How do alternative hosts affect parasite dynamics?<br />

How do parasites alter the stability of the wider community?<br />

To help address these questions we need a general<br />

theory of the community context of host-parasite<br />

interactions.<br />

This studentship will develop such a theoretical framework.<br />

First, motivated by a recently-obtained NERC<br />

grant, in which we manipulate natural multihostparasite<br />

communities, the student will develop simple<br />

community sub-models to explore how differential host<br />

susceptibility and parasite transmission mode interact<br />

to shape multihost-parasite dynamics. Second, motivated<br />

by on-going large-scale community-wide surveys,<br />

the student will use network theory to explore how parasites<br />

spread through, and alter the stability of, ecological<br />

communities. This general framework will greatly<br />

aid data interpretation, and provide insight into the potential<br />

impact of parasites on ecological communities.<br />

The student will work closely with ecologists working<br />

on natural host-parasite communities, and mathematicians<br />

with expertise in network theory, and so will receive<br />

training in both theoretical and empirical hostparasite<br />

ecology. Furthermore, they will be part of a diverse<br />

and active research environment, both within Liverpool<br />

University and collaborating institutions (Universities<br />

of Edinburgh and Zurich). The project would<br />

particularly suit a student with strengths in mathematical<br />

or computational biology, and network and/or ecological<br />

theory.<br />

This studentship is fully funded for UK residents, but<br />

fees only for EU citizens. For informal enquiries please<br />

contact Dr Andy Fenton (a.fenton@liverpool.ac.uk).<br />

Applicants should send a CV, cover letter and contact<br />

details of two academic referees to Mrs Linda Marsh<br />

(biolres@liverpool.ac.uk).<br />

Dr Andy Fenton Institute of Integrative Biology Biosciences<br />

Building Crown Street University of Liverpool<br />

Liverpool L69 7ZB Tel: 0151 795 4473 Fax: 0151 795<br />

4408 http://www.liv.ac.uk/integrative-biology/staff/andrew-fenton/<br />

A.Fenton@liverpool.ac.uk<br />

UManchester ModellingEvolution<br />

PhD available at the University of Manchester<br />

Darwinian evolution is often assumed to be inherently<br />

competitive, frequently characterized by the adage<br />

the survival of the fittest. However, individuals do<br />

not always operate as adversaries and cooperation is<br />

widespread in many animals. Humans show innate predispositions<br />

to be moral and prosocial, and these tendencies<br />

give rise to complex societies organized by social<br />

and political institutions. Group living animals can also<br />

be highly prosocial, as evidenced by cooperative breeding,<br />

coalitionary support, consolation following conflict,<br />

social grooming and even policing of conflict. Explaining<br />

the evolution cooperation remains one of the great<br />

problems for evolutionary biology, as it does not fit with<br />

the notion of selfish individuals and genes.<br />

In evolutionary game theory, population structuring<br />

has been shown to have strong impacts on the stability<br />

of cooperation. However, such models have historically<br />

used theoretical population structure rather than variation<br />

in group structure derived from observed networks<br />

of interactions in animals. We have shown that group<br />

structure in primates is highly conserved over evolutionary<br />

time, which raises the question of whether these<br />

group structures are important promoters of stable cooperation.<br />

This project will use agent-based models to explore how<br />

variation in animal social networks impact on the stability<br />

of cooperation. These models will simulate individual<br />

decisions about whether to cooperate, or not, with<br />

others based both on the benefits of cooperation and<br />

patterns of interactions across different group structures.<br />

These models will also explicitly incorporate<br />

individual characteristics such as dominance, learning<br />

strategies, and enforcement behavior (i.e. punishment<br />

and policing).<br />

If interested, please send an enquiry with a c.v. to<br />

susanne.shultz@manchester.ac.uk Funding Notes: For<br />

full information on how to apply for this project, please<br />

visit www.manchester.ac.uk/dtpstudentships Applications<br />

are invited from UK/EU students only. Applicants<br />

must have obtained, or be about to obtain, at<br />

least an upper second class honours degree in a relevant<br />

subject.<br />

Related webpages:

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