Project title: Inter- and intra- individual variation in communication and 
signalling in colonially breeding pinnipeds

Application deadline: Friday, January 06, 2023, at 5 pm (GMT)

Funding status: Competition Funded PhD Project (Students Worldwide). See 
eligibility notes below.
Supervisory team:
Dr. Sean Twiss (Durham Univ.): 
s.d.tw...@durham.ac.uk<mailto:s.d.tw...@durham.ac.uk>
Dr. Patrick Pomeroy (SMRU, University of St. Andrews)
Dr Amanda Bishop (Assistant Professor, Department of Biological Sciences, 
University of Alaska Anchorage)

Project description.
Background:  It is now widely recognised that wild animal populations are 
typically comprised of individuals with differing behavioural phenotypes, such 
as foraging specialisms, space use, dispersal patterns, stress coping styles 
and consistent individual differences (CIDs) in behaviour (aka: personality). 
Both inter-individual differences and intra-individual differences (behavioural 
plasticity) comprise important components of within species diversity with far 
reaching ecological and evolutionary consequences.  Dr Twiss’ research has 
shown that adult female and male grey seals (Halichoerus grypus) exhibit CIDs 
in behaviour, and express behavioural and physiological patterns that span a 
spectrum of coping styles from more proactive individuals to more reactive 
individuals, with proactive seals exhibiting limited behavioural flexibility 
compared to reactive individuals. However, how do these inter-individual 
differences in personality and stress-coping influence the nature of 
interactions between individuals?

This study aims to identify subtle individual differences in patterns and modes 
of signalling and communication within grey seals (and potentially other 
pinniped species), with a focus on identifying and understanding processes of 
affective signalling. The research will involve detailed decoding and analysis 
of pre-existing video footage alongside collection of additional video footage 
from captive and /or wild seals. Analysis will involve extraction of fine 
spatial- and temporal-scale behavioural information from known individuals, 
including subtle details of body postures, movements and vocalisations. 
Preliminary investigations will focus on the pre-existing archived video 
footage to facilitate development and refinement of data collection protocols 
and identify key behavioural indicators, but subsequent work will seek 
opportunities for supporting studies on captive/rehabilitated grey seals, and 
potentially other pinniped species.
Methods: The study will utilise an extensive existing catalogue of data on 
known individual breeding grey seals from a long-term study of the Isle of May 
breeding colony (Scotland). The successful candidate will extract new data from 
archived video footage of these seals to provide key behavioural metrics 
describing inter-individual variation in behavioural state and signalling. 
These metrics will be analysed with respect to prevailing environmental 
factors, including social context (e.g., conspecific density) and weather 
conditions. For a subset of individuals, there is also the option to link 
behavioural patterns with simultaneously recorded heart-rate metrics. Data 
extraction will involve lengthy periods of decoding video footage to extract 
very subtle behavioural information. Analysis will involve mixed effects 
modelling procedures, time-series analyses, and machine learning approaches 
using ‘R’. There may also be scope for some additional data collection through 
visits to captive facilities and/or targeted field campaign(s), but this will 
depend upon opportunity.
Candidate requirements: Potential candidates should have a deep understanding 
of key concepts and current issues within ethology. Candidates should be able 
to demonstrate their ability to conduct prolonged periods of behavioural 
observations, while remaining focused, dedicated and enthusiastic. Ability to 
work independently and as part of a team is essential. In addition, candidates 
will require strong analytical skills, including experience of modern 
ecological and statistical modelling techniques. Experience with R and/or 
analysis of behavioural data will be advantageous to applicants.  For 
additional data collection from captive facilities and/or targeted field 
campaign(s) candidates will need to show a willingness and ability to travel, 
and conduct prolong field observations alone as well as part of a wider team. A 
UK driving licence (or equivalent) would be essential for field campaigns.
Significance: Conventional studies focus on species or ecosystem level 
responses to environmental change, such as range or phenological shifts, but 
these are products of variation in individual responses. Within populations, 
the extent of intra- and inter- individual variation in behaviour is a key 
component of how the system as a whole reacts to environmental drivers. Within 
social systems, a key driver is the behavioural interactions among 
conspecifics, and understanding how individuals vary in their behavioural 
reactions to neighbours is fundamental in understanding the overall system 
dynamics.

Training: The student will gain extensive inter-disciplinary training in 
behavioural observation, video analysis, and data analysis in R employing 
mixed-effects models, machine learning approaches and time series analyses. The 
student will also develop critical thinking, writing, presentational and 
teamwork skills as part of dynamic, interdisciplinary, and supportive research 
groups.


Eligibility

Applications for this project are welcome from suitably qualified candidates 
worldwide. Applicants must be applying to start a full-time PhD in the Faculty 
in October 2023. They must have fulfilled the University’s requirements 
regarding English language ability and must not require a pre-sessional course 
as a condition of their place.

See: https://www.dur.ac.uk/learningandteaching.handbook/1/3/3/



Funding and how to apply

This project is in competition with others for funding (via the Durham Doctoral 
Studentship scheme). Success will therefore depend on the quality of 
applications received, relative to those for competing projects. If you are 
interested in applying, in the first instance contact Dr Sean Twiss, 
(s.d.tw...@durham.ac.uk) with a CV and covering letter, detailing your reasons 
for applying for the project. Only the best applicants will be asked to submit 
a full application. UK and Non-UK students are advised that to be considered 
for the Durham Doctoral Fellowship, the minimum requirements include an 
excellent undergraduate degree with either postgraduate or work experience in a 
relevant discipline and scientific publication(s) in peer reviewed journals.



Application deadline: Friday, January 06, 2023, at 5 pm (GMT)


_________________________________

Dr. Sean Twiss,
Associate Professor in Animal Behaviour and Behavioural Ecology,
Department of Biosciences,
South Road,
Durham University,
Durham, DH1 3LE,
UK.

E-mail: s.d.tw...@durham.ac.uk
Web-site: 
https://www.dur.ac.uk/biosciences/about/schoolstaff/academicstaff/?id=1132
Blog: http://sealbehaviour.wordpress.com/
Behaviour, Ecology and Evolution Research (BEER) Centre: 
www.dur.ac.uk/beer-centre<https://owa.dur.ac.uk/owa/redir.aspx?C=AjvknJfcq0-zlL0498uhGGKmvrw4G9MIOkl7uzB2o0DQWJkijfaedd4PLox8gN2oJ64a8h9XCa8.&URL=http%3a%2f%2fwww.dur.ac.uk%2fbeer-centre>

Tel: +44 (0)191 334 1350 (office)
Tel: +44 (0)191 334 1247 (lab)
Fax: +44 (0)191 334 1201
_________________________________
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