Print

Print


*PhD projects available at the UK’s National Centre for Statistical Ecology*

We are looking to recruit well-qualified and innovative research 
students, to start PhD study at any date up to March 2012.  Funding is 
available for a limited number of students.  This funding is open to 
international students.  Students from the European Union will be fully 
funded, while funding for non-EU students will include full stipend and 
partial fees.  The stipend will be paid for a period of 3.5 years, and 
will be enhanced relative to the standard UK research council stipend by 
UKŁ3000 per year.  Thus for 2010/11, the enhanced stipend will be 
UKŁ16,590 for the year.

The National Centre for Statistical Ecology (NCSE, 
http://www.ncse.org.uk/) is a multi-institution research centre, 
established in 2005 as a joint venture, funded by EPSRC (a UK research 
council), between the Universities of Kent, Cambridge and St Andrews.  
Funding for a further five years has just been announced by EPSRC, in 
association with NERC, which allows us to expand the Centre, to include 
the Universities of Bath, Sheffield, Glasgow, Exeter and Bristol, 
together with the Centre for Ecology and Hydrology.  (Following 
departure of staff, Cambridge is no longer a member.)  There are 
currently around 35 research students in NCSE.

Each available project falls within one or more of the following six 
research themes:
1.  Biodiversity monitoring methodologies
2.  Spatial and spatio-temporal models for ecological communities
3.  Parameter redundancy, model diagnosis and model averaging in 
ecological models
4.  New statistics methodology
5.  Stochastic models for population dynamics
6.  Movement models to exploit large tracking databases

Project titles and supervisors are listed below.  Further details of the 
projects are given under ‘News/vacancies’ at http://www.ncse.org.uk .  
Applications should normally be made through the institution of the 
first-listed supervisor for a given project, with a copy of your cover 
letter and cv to be sent to the NCSE Director.  Supervisor email 
addresses can be found by clicking on ‘People’ at http://www.ncse.org.uk/.

We also encourage students to approach us with their own suggestions for 
projects.  If we believe that the proposed work fits well with the aims 
of NCSE, and we can identify an NCSE supervisor with relevant expertise, 
we will consider such applications along with applications for one of 
the listed projects.  In this case, you may either contact your 
preferred supervisor directly, or send your proposal to one of the NCSE 
Co-Directors, Steve Buckland ([log in to unmask]) or Byron Morgan 
([log in to unmask]).

*Deadline for submissions to be considered for the first round of 
funding is Jan 15th 2011*

List of projects:

Theme 1. Biodiversity monitoring methodologies

1.1. Improved measures of biodiversity
Supervisors:  Prof PG Blackwell, University of Sheffield;  Dr JB Illian, 
University of St Andrews

1.2. Ecosystem services and resilience
Supervisors:  Prof EM Scott, University of Glasgow; Dr RI Smith and Dr 
JMcP Dick, Centre for Ecology and Hydrology; Prof AE Magurran, 
University of St Andrews

1.3. A spatial point process approach to vegetation mapping
Supervisors:  Dr RI Smith, Centre for Ecology and Hydrology; Dr JB 
Illian, University of St Andrews

1.4. Novel techniques in the analysis of spatial and temporal changes in 
butterfly abundance
Supervisors: Prof BJT Morgan, University of Kent;  Dr Stephen Freeman 
and Dr David Roy, Centre for Ecology and Hydrology

1.5. New analytical methods for estimating key ecological parameters 
from camera trapping data
Supervisors: Prof BJT Morgan, University of Kent;  Dr M Rowcliffe, 
Institute of Zoology;  Prof MS Ridout, University of Kent

Theme 2. Spatial and spatio-temporal models for ecological communities

2.1. Multi-species integrated population models
Supervisors:  Prof ST Buckland and Dr R King, University of St Andrews;  
Dr S Newson, British Trust for Ornithology

2.2. Assessment of environmental impact on animal populations given 
imperfect detectability
Supervisors:  Dr EA Rexstad, Prof ST Buckland and Dr ML Mackenzie, 
University of St Andrews

2.3. Statistical issues in agent-based modelling
Supervisor: Prof PG Blackwell, University of Sheffield

2.4. Spatio-temporal modelling of forest eco-system monitoring data
Supervisor: Dr NH Augustin, University of Bath

2.5. Spatio-temporal ecological modelling over river systems
Supervisors: Prof AW Bowman, University of Glasgow; Dr M Brewer, BioSS

2.6. Uncertainty in coral reef modelling
Supervisor: Prof PG Blackwell, University of Sheffield

Theme 3. Parameter redundancy, model diagnosis and model averaging in 
ecological models

3.1. Advanced MCMC methods for statistical ecology applications
  Supervisors:  Prof WJ Browne, University of Bristol; Dr R King, 
University of St Andrews

3.2. Model assessment for hidden process models
Supervisors: Dr DJ Cole and Prof BJT Morgan, University of Kent

3.3. Model evaluation for hidden process models
Supervisors: Dr RS McCrea and Prof BJT Morgan, University of Kent

Theme 4. New statistics methodology

4.1. Distributed systems and algorithms for Monte Carlo inference in 
statistical ecology
Supervisors: Dr L Thomas, University of St Andrews;  Dr RB Gramacy, 
University of Chicago

4.2. Sample size calculations and statistical ecology
Supervisors: Prof WJ Browne, University of Bristol; Dr L Thomas, 
University of St Andrews

4.3. Prediction in the presence of temporal covariates
Supervisors: Dr R King, University of St Andrews; Dr I Eckley, 
University of Lancaster

4.4. Application of mixture models in capture-recapture
Supervisors: Professors BJT Morgan and MS Ridout, University of Kent

4.5. Spatially explicit capture-recapture methods
Supervisor: Dr DL Borchers, University of St Andrews

Theme 5. Stochastic models for population dynamics

5.1. Spatio-temporal zooplankton modelling: a synthesis of mechanistic 
and statistical modelling
Supervisor:  Dr SN Wood, University of Bath

5.2. Non-parametric modelling of temporal heterogeneity
Supervisors:  Dr ML Mackenzie and Dr R King, University of St Andrews

5.3. Efficient methods for fitting nonlinear non-Gaussian state-space 
models of wildlife population dynamics
Supervisors: Dr L Thomas and Prof ST Buckland, University of St Andrews; 
Dr PT Besbeas, University of Kent

5.4. Extensions of integrated population modelling
Supervisors: Dr PT Besbeas and Prof BJT Morgan, University of Kent

5.5. Stochastic population projection modelling
Supervisors: Prof S Townley and Dr DJ Hodgson, University of Exeter

5.6. Combined impacts of stochastic and transient dynamics in 
demographic time series
Supervisors:  Prof S Townley and Dr DJ Hodgson, University of Exeter

5.7. Statistical development of multi-state stopover models
Supervisors:  Dr R King, University of St Andrews;  Dr RS McCrea, 
University of Kent

Theme 6. Movement models to exploit large tracking databases

6.1. Differences and similarities in group positioning between wild and 
domestic animals
Supervisors:  Dr S Rands and Prof WJ Browne, University of Bristol

6.2. Modelling movement in complex heterogeneous environments
Supervisors:  Prof PG Blackwell, University of Sheffield;  Dr J 
Matthiopoulos, University of St Andrews

6.3. Non-standard spatial models in ecology
Supervisors:  Prof PG Blackwell, University of Sheffield; Prof AW 
Bowman, University of Glasgow


-- 

____________________________________________________________________

Stephen T. Buckland

CREEM, The Observatory, Buchanan Gdns, St Andrews KY16 9LZ, Scotland

Tel. +44 (0)1334 461841Secretary+44 (0)1334 461842

Fax+44 (0)1334 [log in to unmask] 
<mailto:[log in to unmask]>

Professor of Statisticshttp://www.mcs.st-and.ac.uk/

Director, NCSEhttp://www.ncse.org.uk/

Director, CREEM http://www.creem.st-and.ac.uk/

The University of St Andrews is a charity registered in Scotland: No 
SC013532

____________________________________________________________________

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank.