University of Lund
Lund, Sweden
Description
The Department of Physical Geography and Ecosystem Science is has an opening for a PhD student with a strong background in Physical Geography and Ecosystems Analysis, Geoecology, Environmental Engineering, mathematics or physics to work with model-data fusion methods on optimising terrestrial CO2 fluxes using the LPJ-GUESS dynamic vegetation model.
The PhD student will carry out research within the project "Spatio-temporal statistical methods for inverse modelling of CO2 fluxes" which is a collaboration involving 4-5 senior scientists and one additional PhD student at the Departments of Mathematical Statistics and Physical Geography and Ecosystem Science.
The student will work with and refine established data assimilation techniques to exploit the complementary strengths of ecosystem flux measurements, remote sensing data and process-based ecosystem modelling in terms of quantifying and upscaling ecosystem CO2 fluxes from forest stands and surrounding landscapes to a braoder regional scale.
Requirements
The applicants are expected to hold a university degree (preferably MSc. or equivalent) in natural sciences. Candidates must possess an Honours or Masters degree in a quantitative subject such as Physical Geography and Ecosystems Analysis, Geoecology, Environmental Engineering, Mathematics, Physics or a related subject of relevance to the research. Good numerical skills with advanced knowledge of quantitative methods and computer programming experience, as well as interest in climate change and terrestrial ecology, are required. Knowledge of FORTRAN, C/C++, MATLAB and previous experience working with process-based ecosystem models and large environmental datasets is an important advantage. Experience with optimisation methods or the LPJ-GUESS ecosystem model is an important advantage. Candidates must be fluent in written and spoken English. We seek a well-motivated candidate who is able to work independently while contributing as part of a team.
More information and applications
Marko Scholze, Senior Lecturer
046-222 40 82
marko.scholze@nateko.lu.se
Emmy Heidenblad, Personnel administrator
046-222 78 30
Emmy.Heidenblad@cgbkansli.lu.se
Last Day of Applying: 2013-11-30
Online application: https://dfs.adm.lu.se/E-rek_CV/Login.aspx?Dnr=571560&Type=E
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