ETH Zurich is one of the world’s leading universities specialising in science and technology. It is renowned for its excellent education, its cutting-edge fundamental research and its efforts to put new knowledge and innovations directly into practice. The ETH Competence Center for Climate Systems Modeling (C2SM) and the Federal Institute of Meteorology and Climatology MeteoSwiss jointly run the weather and climate model COSMO and analyse the resulting data.
Scientific Collaborator for wind lidar data assimilation (100%)
As a scientific collaborator in the framework of the „State-of-the-Art Emergency Response Meteorology” project you contribute to the development of our ensemble-based data assimilation system. Your main responsibility will be the assimilation of wind lidar data into our numerical weather prediction system.

Your tasks will include: (1) Implementation of the assimilation of wind lidar data analogous to the already assimilated wind profiler data; (2) Executing and assessing data assimilation experiments; (3) Implementation of the developments into operations.
You have an MSc in natural science, computational science, engineering or computer science and preferably a PhD in meteorology, climatology, environmental science or a related field. You have strong programming skills in at least one programming or scripting language. Knowledge in numerical weather prediction or climate modeling is an advantage. Finally, you are a pro-active personality with analytic skills and a self-dependent work style who enjoys to work in a small team.
We offer scientific work with an operational, state-of-the-art numerical weather forecast and data assimilation system within a small, highly motivated team. Your work will have an immediate impact on our operational weather forecasts.
The position is available as of 1 August 2019 and will remain open until filled. The position is limited to one year. The place of work is at MeteoSwiss at Zurich-Airport.

We look forward to receiving your online application including a letter of interest, a CV, and the names and contact information of 2-3 references via the following link: https://emea2.softfactors.com/job-opening/rgum-G8ZFeOASgZb3iM3EmG#/?lang=en. Please apply exclusively via the online application portal. Applications sent by e-mail or post will not be considered.

Further information
on this position can be obtained from Dr. Daniel Leuenberger, daniel.leuenberger@meteoswiss.ch (no applications).