ESSL is seeking a researcher to develop probabilistic models for convective hazard occurrence, including the generating of "event sets" based on stochastically generated realizations of storm tracks. Your role would be to combine pre-existing methods developed at ESSL with novel data sets with the ultimate goal of better estimating high-end risks posed by convective storms across Europe in collaboration with third parties.
As part of the larger ESSL team working on climate and forecasting topics, an interest or even an active involvement in these areas would be beneficial. This would include the study of severe storm climatology in the context of climate change, or contributing to the development of forecasting and nowcasting tools and their visualization.
Requirements:
* Master’s in Meteorology, Physics, or a related field
* Programming skills
* Good English proficiency
* Bonus: previously published scientific publications, affinity with severe weather, experience with machine learning methods, running atmospheric models and/or prior work with large meteorological data sets, and a track record of independent research or software development work.
Position Details:
* Annual salary in line with the category “Postdoc” of the Austrian Science Fund: FWF Personnel Costs (note that gross salaries are about 80% of the total employer’s costs listed there)
* In case of exceptional qualifications, a higher salary may be negotiated.
* The duration of the job is for two years. In case of good performance and a continuing growth of ESSL in the areas of the applicant’s expertise and interest, ESSL will likely want to make the employment permanent.
* The job is based in Wiener Neustadt, Austria, but a large amount of teleworking can be accommodated.
* Employment in Austria comes with a standard health insurance and a basic pension.
About the ESSL team:
We are a highly motivated and gradually growing team that performs and supports research on severe convective storms, their prediction and their impacts, and provides training courses to researchers and forecasters. Highlights of the ESSL include the European Severe Weather Database, the ESSL Testbed and its suite of AR-CHaMo convective hazard models.
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