PhD

[Marta Rufino]

Para quem tenha interesse,

Cumprimentos,

M.

Dear NCSE amigos,

We in St Andrews are advertising for PhD students, and this year have a couple
of additional studentships specifically targetted to stats ecology topics. Some
further information is below. Please pass this on to anyone you think may be
interested in applying.

With best wishes, Len Thomas


Applications are welcomed for students wishing to undertake a PhD in Statistics
at the University of St Andrews. Full funding (fees, plus stipend of approx.
£17,668) is available for well-qualified students; we encourage applications as
soon as possible to maximize your chances of being funded. UK, EU and other
overseas students are all encouraged to apply. New PhD students would typically
start in September 2023, but this is flexible.

Members of the Statistics Division at St Andrews are particularly active in the
fields of statistical ecology, and in statistical medicine and molecular
biology. Other research areas include Bayesian statistical inference,
computer-intensive inference, data mining, data smoothing and latent state models.
General applications from potential students interested in these areas are
welcome. In addition, we are looking for candidates for the following specific
projects; more details of these, the PhD environment and the application process
are at the following web site: https://tinyurl.com/StAndStatsPhD2023 (pdf
document, full address
https://stats.wp.st-andrews.ac.uk/files/2022/10/StAndrewsStatisticsPhDOpportunities.pdf).

Specific projects in statistical ecology (supervisor in brackets):
• Time-to-event statistical models for ecological surveys (David Borchers)
• Estimating species density with acoustic data (David Borchers and Alison Johnston)
• Validating species distribution models (David Borchers and Alison Johnston)
• From citizen science data to demographic information, exploring the potential
of the global eBird project (Alison Johnston and Hannah Worthington)
• Interdisciplinary approaches for improving biodiversity assessments using
remote sensors (Chris Sutherland, Alison Johnston, Kasim Terzic (Computer
Science), Ognjen Arandjelovic (Computer Science))
• Bayesian causal inference and trial emulation for ecological observational
data (Ben Swallow)
• Approximate Bayesian computation using policy driven summary statistics (Ben
Swallow)

In addition to the above, there are fully funded scholarships available for the
following project with closing date for applications of December 5th 2022:

• Examining the link between pathogen diversity, persistence, and transmission,
and spatiotemporal metacommunity dynamics in a naturally fragmented landscape?
(Chris Sutherland) – see https://tinyurl.com/yh36r6bh

For those with interests outside of statistical ecology, we also have the
following projects:
• Methods for and applications of meta-analysis of gene-expression data (Andy Lynch)
• Approaches for the design of prostate proteomic projects and their analysis
integrated with other molecular data (Andy Lynch)
• Identifying complex spatio-temporal biomarkers of brain diseases (Nicolò
Margaritella and Michail Papathomas)
• Incorporating gene network dynamics to cell population models (Giorgos Minas
in collaboration with Tommaso Lorenzi (Politecnico di Torino))
• Stochastic simulation, analysis, and inference of non-linear dynamical systems
(Giorgos Minas)
• Stochastic modelling and inference for live-cell gene expression data to
unravel the mechanisms of stem cell differentiation (Giorgos Minas, Jochen
Kursawe, in collaboration with Dr Cerys Manning (University of Manchester))
• Strategies for detecting high probability dependence structures (Michail
Papathomas)

For informal discussion about any matter related to PhDs at St Andrews please
contact Prof. Len Thomas <len.t...@st-andrews.ac.uk>.

--

Marta M. Rufino (researcher)
_____________________________________
Portuguese Institute for the Sea and the Atmosphere (IPMA)

Division of Modelling and Management of Fisheries Resources

Av. Dr. Alfredo Magalhães Ramalho, 6, 1495-165 Lisboa

Centre of Statistics and its Applications (CEAUL) 

Faculty of Sciences, Univ. of Lisbon, Portugal

http://rpubs.com/MRufino/

Iberian Research in Statistical Ecology group (IRSE)