Technische Universität Kaiserslautern (TUK) is a research university with a focus on engineering and natural sciences, and
an international profile. It is the center of the up-and-coming IT hub in the heart of the Palatinate region, which is actively
expanding in the areas of future software technologies and artificial intelligence, especially in the field of machine learning.
The German Research Center for Artificial Intelligence (DFKI), founded in 1988 at TUK and represented there since then, is a
leader in artificial intelligence research and application. Other close partners include the neighbouring Fraunhofer Institute
for Industrial Mathematics ITWM, the Fraunhofer Institute for Experimental Software Engineering IESE and the Max Planck
Institute for Software Systems (MPI-SWS), as well as innovative companies from the region, Germany and around the world.
Together with the research institutes, TUK forms a tight-knit, collaborative AI campus.
New professorships form a core element in the recently launched AI strategy of the state of Rhineland-Palatinate, which doubles the state‘s investment in research and networking of AI. Here we invite applications for one of three professorships at TUK:
Professorship (W3) for Fundamental Methods in Machine Learning
(affiliated with TUK’s Department of Computer Science)
The professorship shall strengthen the AI research of the Department of Computer Science through its research of fundamental methods in one or more of the following fields: explicability and interpretability, data fusion, trustworthiness, anomaly detection, fairness, extreme classification, stochastic optimization, learning theory, generative modeling, representation learning, Bayesian ML, and reinforcement learning. Collaboration with researchers at the TUK and its affiliated institutes is possible and expected.
Complete job advertisement:
http://tukl.de/ecbfu
The application deadline for the professorship is December 31, 2020.
Further information about the positions, including job profiles and application
procedures, can be found in German and English via the links indicated above or
at
http://www.uni-kl.de/Professuren.