Jobs:Job-00097

2-year post-doc position on land surface modeling, UFZ, Leipzig

UFZ (Centre for Environmental Research), , Germany
Apply before: 29 February 2020

Posting:

Position:

Post-Doctoral Position

Apply before:

29 February 2020

Apply online:

https://recruitingapp-5128.de.umantis.com/Vacancies/1802/Description/2

The Helmholtz Centre for Environmental Research (UFZ) with its 1,100 employees has gained an excellent reputation as an international competence centre for environmental sciences. We are part of the largest scientific organisation in Germany, the Helmholtz association. Our mission: Our research seeks to find a balance between social development and the long-term protection of our natural resources.

The accurate simulation of the terrestrial water and energy cycle is a fundamental prerequisite is Earth System Modelling for providing high quality climate change impact assessments and weather predictions. One major challenge in global simulations is to provide locally relevant information. This can be achieved by using high-resolution information of geophysical attributes such as land cover and soil information, which in turn requires High-Performance Computing. This is the background of the Pilot Lab Exascale Earth System Modelling (PL-EESM) that explores specific concepts to enable exascale readiness of Earth System models. In this project, the state-of-the-art parameter estimation tool, Multiscale Parameter Regionalization (MPR), currently being implemented in the HTESSEL land-surface model, will be further developed and tested for scalability and readiness for exascale computing at the JUWELS High-Performance Computer (HPC). HTESSEL is the land-surface model developed and operationally used at the European Centre for Medium-Range Weather Forecasts (www.ecmwf.int). The goal of the project is to demonstrate that the MPR tool is key for deriving seamless multi-scale land surface parameters that enable global model simulations that are locally relevant. The multi-scale HTESSEL simulations will be verified against GRACE, LST and selected streamflow stations worldwide. Furthermore, machine learning algorithms will be employed to improve the estimation of the transfer functions used in MPR. Finally, we aim to publish highlights of this project in ISI-listed journals.

The Department of Computational Hydrosystems (CHS) therefore invites applications for a Scientist (m/f/x)

Subject: Towards exascale readiness of parameter estimation tools used in Land Surface Modelling

Start at the earliest possible date, working time 100 % (39 hours per week), limited 30.09.2021.

Your tasks:

Further develop the MPR tool (Fortran) to reach HPC technical readiness level (i.e.,TRL 5)
Implement the MPR tool at two spatial resolutions for HTESSEL
Conduct parameter estimation at the global scale using streamflow data, GRACE and LST data sets
Perform flux-matching tests
Report results and participate in PT-ESSM meetings

Your profile:

PhD in Informatics, Physics, or Mathematics
Strong knowledge in programming (i.e. Fortran, HPC, CUDA, BASH, netCDF)
Knowledge in high performance computing
Good English language skills, Team player
Experience in land-surface modelling (HTESSEL), in particular coupled atmosphere-land simulations, is a plus

We offer:

Excellent technical facilities which are without parallel
The freedom you need to bridge the difficult gap between basic research and close to being ready for application
Work in inter-disciplinary, multinational teams and excellent links with national and international research networks
A vibrant region with a high quality of life and a wide cultural offering for a balance between family and professional life
Interesting career opportunities and an extensive range of training and further education courses
- Remuneration up to theTVöD public-sector pay grade 13 including attractive public-sector social security benefits

Of interest for:

Terrestrial Working Group

Cyberinformatics and Numerics Working Group