Postdoctoral Researcher (f/m/d) in Computer Science or Statistics

Your Tasks

The research group for machine learning and artificial intelligence is looking for a Postdoctoral Researcher (f/m/d) in Computer Science or Statistics with a focus on statistical calibration of machine learning models for weather prediction and climate science. You will join the

The WOW project, funded by the Carl-Zeiss-Foundation, will develop a modular AI world model to simulate the process chain from long-term changes in global climate to local impacts on societies and ecosystems. As part of the project we aim to bridge the gap between medium-range weather forecast models and long-term climate models. The central topic of our research efforts will be the statistical calibration of machine learning models for weather forecasting, and the statistical calibration of multi-modal machine learning models. To this end, we will develop novel statistical calibration techniques for machine learning models based on proper scoring rules. In an adjunct research project, we are investigating the statistical calibration of generative machine learning models.

Your Role

• Conduct cutting-edge research in machine learning on statistical calibration of machine learning-based predictions
• Publish your research findings at major machine learning conferences such as Neurips, ICML, ICLR, and high impact journals.