The Bosch Industry-on-Campus Lab, a research collaboration between the University of Tübingen and Bosch Center for AI (BCAI), invites applications for an open PhD position in Generative Models to Improve Out-of-distribution Generalization.
The aim of this project is to improve the out-of-distribution generalization of machine learning systems. The assumption that the training and test data of machine learning systems are independently sampled from the same distribution does not necessarily hold in practice. Being able to trust model predictions at test time, the requirement on model’s generalization shall not only concern in-distribution behind the training data but also out-of-distributions beyond it. To this end, you will specifically investigate deep generative models, exploiting their use for data manipulation, data generation recovery, representation learning, and density estimation.
You will be jointly supervised by Dr. Dan Zhang from the Bosch side and by Prof. Andreas Geiger from the University of Tübingen side.
The position is available immediately (but start date is negotiable), the contract is initially for three years, and remunerated according to the German salary scale 13 TVL.