Postdoc Position for Probabilistic Numerical Algorithms for AI for Science at Tübingen AI Center
The Methods of Machine Learning Group at the Tübingen AI Center is looking for postdoc candidates interested in probabilistic numerical algorithms for ML in Science. Our research, funded by the ERC, aims to seamlessly blend information from data, mechanism, and computation to predict and control complex systems.
Interested candidates should have (or be about to complete) a strong PhD in machine learning and experience with probabilistic inference. Please send your CV and a description of your interests to Franziska Weiler at mml-sekretariat@inf.uni-tuebingen.de.
The position is remunerated according to the German E13 public sector pay scale for two years initially, with an option for extension. It is open from immediately until filled.
The MoML group is part of the Tübingen AI Center and the CS Department at the University of Tübingen. We are also a core part of the Tübingen ELLIS Unit and the wider Tübingen AI/ML community, which is home to over 300 scientists working in over 25 research groups and one of Europe's most prominent academic AI sites. Past members of the group have successful academic and industrial careers in Europe and North America. We are an inclusive, social group, looking for people who want to be part of an ambitious, collaborative scientific team. You can find out more about us on the group's website linked below. There is no dedicated job posting, just send us an email.
