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The Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, and is a hosting member of the PRACE European distributed supercomputing infrastructure. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 700 staff from 49 countries.
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Context And Mission
The Atmospheric Composition group from the Earth Science department at the BSC-CNS is looking for an eligible candidate to perform an internship on modelling atmospheric dust composition. The candidate will focus on the analysis of sources of uncertainty to describe airborne dust mineralogy. He/she will investigate differences among currently used Soil Composition databases, review and define different approaches to represent minerals within atmospheric models and assess the variability in the resulting mineral dust composition at the global scale. He/she will compile available observations of minerals and contribute to model evaluation tasks. The candidate will be working with numerical tools developed at Earth Science department at the BSC-CNS, including the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH). The work will be done under the supervision of Dr. Carlos Pérez García-Pando and Dr. María Gonçalves Ageitos and will contribute to ongoing international research projects.
Literature review to identify sources of uncertainty in the representation of dust minerals within atmospheric models.
Comparison of currently used soil composition atlases within atmospheric models.
Analyses of methods to project soil composition into size-resolved mineral emissions and implementation of different approaches within the MONARCH model.
Compilation of available mineral composition observations and formatting for model evaluation purposes.
Develop the necessary codes, analysis and reports to perform and present his/her work.
Interact with atmospheric composition scientists.
BSc Degree on physics, chemistry, biology, environmental sciences, engineering or similar
Currently enrolled in MSc Degree on environmental engineering, or similar
Essential Knowledge and Professional Experience
o Experience on data analysis, report writing and communication of results.
o Experience in programming, e.g. in R, python, Matlab, etc. will be valued.
Additional Knowledge and Professional Experience
Experience in similar fields will be valued
Fluent English, both written and spoken.
Origen: Información recogida a través de cido.diba.cat
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