We are looking for a Postdoc who facilitates uncertainty propagation
analysis in spatial environmental modelling by developing, testing and
publishing an R package that can address a great variety of
applications. The main focus will be on applications in integrated water
quality modelling, as studied in the QUICS project (www.quics.eu).
Software flexibility and extensibility will be achieved through
state-of-the-art functional programming with an emphasis on clean,
modular and componentised design. Efficient algorithms will be
implemented to speed up Monte Carlo-based calculations. The postdoc will
work closely with several of the QUICS PhD students, among others
providing supervision and supporting the development of sampling design
optimisation techniques. The postdoc will develop training materials and
provide trainings on methods and software for spatial uncertainty
propagation analysis and sampling design optimisation. This includes
preparation of manuals and protocols for end-users. Statistical
methodology on design-based validation of water quality models using
Bayesian approaches will also be developed and tested. The research will
be reported in the international scientific literature through
first-author and co-authored journal articles.
This research is part of the EU-funded Marie Curie Initial Training
Network project 'QUICS' (Grant agreement number 607000), in which
partners from various universities, research institutes and commercial
enterprises across Europe join forces to improve water quality
management by assessing the uncertainty of integrated catchment model
water quality predictions. The project involves twelve PhD students and
four Postdocs.
For full details of this position, see
http://www.quics.eu/projects/pr2b#Advert. Closing date 15th March.
For more information about the QUICS project and future vacancies, see
www.quics.eu.
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QUICS is an EU FP7 funded Marie Curie Initial Training Network
http://www.quics.eu
Project Manager:
Dr. Will Shepherd
Pennine Water Group
Dept of Civil and Structural Engineering
University of Sheffield
Mappin St., Sheffield, S1 3JD, UK.
tel: +44 (0)114 2225732
email: [log in to unmask]
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