We are looking to recruit a
Postdoc - Data Mining, Inference, and Prediction in Science and Engineering
The multidisciplinary Institute for Advanced Simulation - Materials Data Science and Informatics (IAS-9) brings together disciplines ranging from data analysis and machine learning to materials simulation, research data management and software development under one roof. In doing so, we extract new information from simulations and experiments, identify patterns, structure, and trends in microscopy data, and ultimately improve our understanding of why materials, processes, or general systems work the way they do. To do this, we use a wide range of different methods, from classical statistical analysis through machine learning to method of artificial intelligence. One focus of our research activity is on data mining and high-throughput/on-the-fly analysis of microscopy data, but we are equally enthusiastic when it comes to other data, for example for extending classical simulations with data-based models. In many cases, "injecting" scientific domain knowledge into machine learning models is an important amplifier for the models we develop.
Last Modified: 16.11.2022