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January 2020
Message 105

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[Met-jobs] PhD position in applying data science to atmospheric science and climate modelling

From Ingo Wohltmann <ingo.wohltmann@awi.de>
To <met-jobs@lists.reading.ac.uk>
Date Tue, 21 Jan 2020 16:00:20 +0100

PhD position in applying data science to atmospheric science and climate modelling

The Alfred Wegener Institut for Polar and Marine Research, Potsdam, Germany, and the Technical University Berlin, Germany, offer an open PhD position in the interdisciplinary field of applying methods of data science to atmospheric science and climate modelling. Application deadline is February 7, 2020.

The position is available within the HEIBRiDS initiative (https://www.heibrids.berlin), a joint graduate program of the Helmholtz Association of German research centers (https://www.helmholtz.de/en) and the Einstein Center Digital Future (ECDF, https://www.digital-future.berlin).

We offer:

* Cutting-edge research in data science under close supervision of a team of two mentors from the Alfred Wegener Institute and TU Berlin.
* A 4 year fully founded fellowship (100% E13 TVÖD)
* Integrated training curriculum of scientific and professional skills courses taught in English

The position is available in the doctoral project "DS-Clim: Data Science for fast modelling of the stratospheric ozone and aerosol layers in climate models".

Reliable projections of climate models require a careful modelling of the numerous atmospheric, oceanic, geological, and biological processes. Some of these explicit computations are computationally expensive and can only be included in a simplified form into state-of the-art climate models, which is one of the most important sources of uncertainty in current climate projections. A data science approach may help to build more computationally efficient models and thus to allow for the interactive simulation of the stratospheric ozone layer and of the stratospheric aerosol layer for use in climate models. This way, scientist can define and refine models on much faster scale and thus benefit from machine learning and big data methods. More information about the project can be found at the HEIBRiDS application portal.

Please apply directly at the HEIBRiDS application portal https://www.heibrids.berlin/admission/open-phd-positions. To apply, a master's degree in quantitative sciences (computer science, physics, meteorology, statistics or mathematics) or related applied field (bio- or geoinformatics etc.), awarded by July 2020, is required. Good command of written and spoken English is expected. Required documents
include a CV, degree certificate of Bachelar and Master degree and two letters of recommendation. Further requirements and all necessary information can be found at the HEIBRiDS application portal. Please don't send your application to the Alfred Wegener Institute or TU Berlin. These will not be considered.



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