Research Software Engineer for technical support to develop climate model improved with quantum[...]

TN Germany; Weßling; Vor Ort; EUR 50.000 - 90.000; Vollzeit

Zusammenfassung

An innovative firm is seeking a Research Software Engineer to enhance climate modeling through quantum machine learning. In this role, you will work on the development and evaluation of cutting-edge climate models, leveraging unique opportunities offered by quantum computing. You will support simulations and technical development, contributing to a project that aims to redefine climate modeling practices. If you are passionate about climate science and technology, this is an exciting opportunity to make a significant impact in a forward-thinking environment.

Qualifikationen

• Experience in developing climate models using machine learning techniques.
• Strong background in quantum computing applications in climate science.

Aufgaben

• Support the development of climate models improved with quantum machine learning.
• Carry out simulations and evaluate results against observations.

Kenntnisse

Quantum Machine Learning

Climate Modeling

Machine Learning

Data Analysis

Ausbildung

Master's in Computer Science

PhD in a relevant field

Tools

ESMValTool

ICON Climate Model

Jobbeschreibung

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Research Software Engineer for technical support to develop climate model improved with quantum machine learning, Weßling

Client:

German Aerospace Center

Location:

Job Category:

Other

EU work permit required:

Yes

Job Reference:

9f566f14a879

Job Views:

2

Posted:

09.05.2025

Expiry Date:

23.06.2025

Job Description:

We develop the first prototype of a climate model improved with quantum computers, extending the work carried out under the European Research Council (ERC) Synergy Grant on “Understanding and Modelling the Earth System with Machine Learning by replacing subgrid-scale parameterisations first by ML and then by QML approaches (ICON-ML and ICON-QML, respectively). The unique opportunities offered by quantum computing are explored to improve and accelerate climate models and its development process.

In this position, simulations with the newly developed climate model ICON-ML or ICON-QML are carried out in comparison with the conventional climate model ICON, and the team is technically supported in the development of ICON-ML or ICON-QML.

In addition, the evaluation of the simulations carried out in comparison with observations is technically supported with the help of the ESMValTool developed at the Institute.