Submit-Doctoral place (f/m/d) job with UNIVERSITY OF BREMEN

The College of Bremen, School 1 (Physics/Electrical Engineering), Institute for Environmental Physics (IUP), Division of Local weather Modelling – underneath the situation of job launch as of January 01, 2023 provides the place of a

Submit-Doctoral place (f/m/d)
German pay scale: E13 TV-L 100%
with a working time of 39,2 hrs./week, restricted to three years

The fixed-term contract is for scientific qualification in line with 2 para. 1 WissZeitVG (Wissenschaftszeitvertragsgesetz). Accordingly, solely candidates who nonetheless have qualification durations to the corresponding extent in line with 2 para. 1 WissZeitVG may be thought of.

The Division of Local weather Modelling on the College of Bremen invitations purposes for a Submit-Doctoral place within the area of Machine studying (ML) – primarily based turbulence parameterizations for local weather fashions underneath the supervision of Prof. Veronika Eyring. This place is introduced as a part of a broader name of positions on ML-based local weather science funded by the Gottfried Wilhelm Leibniz Prize 2021 (

Regardless of important progress in local weather modelling over the previous few a long time, systematic biases and substantial uncertainty within the mannequin responses stay. For instance, the vary of simulated efficient local weather sensitivity – the change in international imply floor temperature for a doubling of atmospheric CO2 – has not decreased for the reason that Nineteen Seventies. A significant reason behind this are variations within the illustration of clouds and different processes occurring at spatial scales smaller than the mannequin grid decision. These should be approximated by means of parameterizations that characterize the statistical impact of a course of on the grid scale of the mannequin. This impacts fashions means to precisely challenge international and regional local weather change, local weather variability, extremes and impacts on ecosystems and biogeochemical cycles. Whereas efforts are underway to develop convection resolving excessive decision international local weather fashions the place a few of the bodily processes may be explicitly modelled, for mannequin experiments that have to cowl very long time durations or for people who require further complexity past the normal bodily mannequin setup, coarser Earth system mannequin simulations will proceed to be required. A promising means ahead that’s addressed on this place is to develop machine studying (ML) and particularly deep learning-based parameterizations for the ICOsahedral Nonhydrostatic (ICON) atmospheric normal circulation mannequin. On this place the main target can be on the event of an ML-based turbulence parametrization for ICON.

Discipline of exercise:

  • The candidate will carry out and use high-resolution simulations and observations to develop a machine studying primarily based parameterization. The ML-parameterization can be carried out into the ICON atmospheric normal circulation mannequin.
  • Excessive-resolution simulations with ICON to function coaching information for the event of the ML-based parameterizations
  • Growth of ML and particularly deep learning-based turbulence parameterizations for ICON
  • Implementation into ICON
  • Performing corresponding local weather simulations with ICON-ML
  • Analysis of the ensuing ICON-ML with the Earth System Mannequin Analysis Device (ESMValTool)
  • Documentation and software program as open supply


  • Grasp/diploma or equal diploma in physics, information science, pc science or comparable area
  • PhD in physics, information science, pc science or comparable area
  • Glorious programming abilities (ideally python), together with object oriented and parallel programming
  • Expertise in machine studying, information evaluation, and huge information units
  • Curiosity in local weather analysis
  • Glorious analytical abilities, and the power to work each, independently and as a part of a crew
  • Enthusiasm, motivation, and creativity
  • Fluency in English (written and spoken) (at the very least C1 CEF)
  • Readiness to journey

Extra (desired) abilities:

  • Expertise in Earth system modelling, parameterization and local weather science is a bonus

Your Advantages

On the Local weather Modelling division we offer glorious services with alternatives to work with world-renowned specialists within the area of Earth system modelling and machine studying. The division develops modern strategies, together with machine studying strategies to enhance Earth system fashions and their analysis with observations with the goal to raised perceive and challenge local weather change. The Postdoc can profit from a dynamic group and shut collaboration with the Earth System Mannequin Analysis and Evaluation division of the DLR Institute of Atmospheric Physics in addition to from interactions with the crew of the European Analysis Council (ERC) Synergy Grant on Understanding and Modelling the Earth System with Machine Studying (USMILE, The division is strongly linked to worldwide analysis actions throughout the World Local weather Analysis Programme (WCRP), with substantial contributions notably to the Coupled Mannequin Intercomparison Undertaking (CMIP), and contributes commonly to worldwide local weather of the Intergovernmental Panel on Local weather Change (IPCC).

Basic Info:

Because the College of Bremen intends to extend the proportion of feminine staff in science, girls are notably inspired to use. Candidates with a migratory background are extremely welcome. Disabled candidates will obtain most well-liked consideration over primarily equally certified contenders.


Questions regarding scientific points:

Prof. Dr. Veronika Eyring,

Please ship your software (cowl letter, cv, a minimal of two reference letters, and replica of your diploma certificates) till October twelfth, 2022 by indicating the job id A253/22 to:

College of Bremen / FB1
Staff assistant of Prof. Eyring
Mrs S. Smit
Universit tsallee GW1, Room A1185
28359 Bremen

or by e-mail:, cellphone: +49 421 218 62118

Paper-based purposes are solely required as a duplicate (no folders); they are going to be destroyed after the closure of the applying process.

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