PhD STUDENT Land-Atmosphere Interaction / Data assimilation
Forschungszentrum Jülich GmbH
For our Institute of Chemistry and Dynamics of the Geosphere - Agrosphere Department (ICG-4) - we are seeking a PhD Student in Land-Atmosphere Interaction / Data assimilation for a three-year PhD project.
Tasks:
Climate change and land use change will have a huge impact on the terrestrial water cycle. The terrestrial water cycle itself plays an important role in climate change, but in global and regional climate models it is often described in a greatly simplified manner. In the first task, the PhD student will use an improved model description of the terrestrial water cycle with a much higher spatial resolution (~50 m) as compared with current regional climate models (~2 km). The advantage of such an improved implementation will be tested for selected TERENO research sites, where a large volume of data is continuously monitored. In particular, soil moisture measurements from wireless sensor networks, remote sensing images and eddy covariance data will be used to compare model results and data. A second important task will address the combination of model and data using data assimilation methods in order to improve model predictions and model parameterizations. There will be a special focus on the use of eddy covariance data for improving model predictions and parameterizations. Computations will in part be carried out on the supercomputer infrastructure available at Forschungszentrum Jülich . The PhD project is embedded in the Helmholtz Climate Initiative REKLIM.
Requirements:
MSc degree (or equivalent) in atmospheric sciences, physics, physical geography, geo-ecology, civil, agricultural or environmental engineering with an overall grade of at least good. Knowledge in the fields of land-atmosphere interaction, hydrology, soil science, statistics, numerical simulation models and computer programming is of advantage. We offer the candidate excellent research conditions within an interdisciplinary team.
Contact:
Prof. Dr. Harrie-Jan Hendricks Franssen
e-mail: h.hendricks- franssen[ at]fz-juelich. de
Our Institute provides contributions to the sustainable use of soil and water in agroecosystems. Research is conducted both at multiple scales (microscopic, lab, lysimeter, field and regional) and in an interdisciplinary manner. For further information visit our website at:
http://www.fz- juelich.de/ icg/icg-iv/ index.php? index=3
Equal opportunity is a cornerstone of our staff policy. Applications from disabled persons are welcomed. Payment of the PhD fellow will be based on salary grade 13/2 Collective Agreement for the Civil Service (TVöD). Depending on the candidate's profile and the subject of his/her PhD thesis an additional allowance may be granted.
Please send your application with the relevant documentation (curriculum vitae and motivation letter) to:
Mr K. Beumers,
Institut für Chemie und Dynamik der Geosphäre (ICG),
Forschungszentrum Jülich GmbH,
52425 Jülich, Germany.
e-mail: k.beumers[at] fz-juelich. de
Closing date for applications : until the position filled
Forschungszentrum Jülich GmbH
For our Institute of Chemistry and Dynamics of the Geosphere - Agrosphere Department (ICG-4) - we are seeking a PhD Student in Land-Atmosphere Interaction / Data assimilation for a three-year PhD project.
Tasks:
Climate change and land use change will have a huge impact on the terrestrial water cycle. The terrestrial water cycle itself plays an important role in climate change, but in global and regional climate models it is often described in a greatly simplified manner. In the first task, the PhD student will use an improved model description of the terrestrial water cycle with a much higher spatial resolution (~50 m) as compared with current regional climate models (~2 km). The advantage of such an improved implementation will be tested for selected TERENO research sites, where a large volume of data is continuously monitored. In particular, soil moisture measurements from wireless sensor networks, remote sensing images and eddy covariance data will be used to compare model results and data. A second important task will address the combination of model and data using data assimilation methods in order to improve model predictions and model parameterizations. There will be a special focus on the use of eddy covariance data for improving model predictions and parameterizations. Computations will in part be carried out on the supercomputer infrastructure available at Forschungszentrum Jülich . The PhD project is embedded in the Helmholtz Climate Initiative REKLIM.
Requirements:
MSc degree (or equivalent) in atmospheric sciences, physics, physical geography, geo-ecology, civil, agricultural or environmental engineering with an overall grade of at least good. Knowledge in the fields of land-atmosphere interaction, hydrology, soil science, statistics, numerical simulation models and computer programming is of advantage. We offer the candidate excellent research conditions within an interdisciplinary team.
Contact:
Prof. Dr. Harrie-Jan Hendricks Franssen
e-mail: h.hendricks- franssen[ at]fz-juelich. de
Our Institute provides contributions to the sustainable use of soil and water in agroecosystems. Research is conducted both at multiple scales (microscopic, lab, lysimeter, field and regional) and in an interdisciplinary manner. For further information visit our website at:
http://www.fz- juelich.de/ icg/icg-iv/ index.php? index=3
Equal opportunity is a cornerstone of our staff policy. Applications from disabled persons are welcomed. Payment of the PhD fellow will be based on salary grade 13/2 Collective Agreement for the Civil Service (TVöD). Depending on the candidate's profile and the subject of his/her PhD thesis an additional allowance may be granted.
Please send your application with the relevant documentation (curriculum vitae and motivation letter) to:
Mr K. Beumers,
Institut für Chemie und Dynamik der Geosphäre (ICG),
Forschungszentrum Jülich GmbH,
52425 Jülich, Germany.
e-mail: k.beumers[at] fz-juelich. de
Closing date for applications : until the position filled
