Postdoctoral research position in machine learning security and resilience

Czech Technical University in Prague (CTU) now offers a new fellowship program, the CTU Global Postdoc Fellowship. This new and attractive two-year fellowship-program offers excellent researchers who have recently completed their PhD the chance to continue their research career at CTU. Fellows receive a two year fellowship and become members of a team led by a mentor. The fellowship aims at external international scientists who are currently conducting research abroad. Applicants must have completed their PhD within the last seven years (eg. 2016 or later). The fellowship aims at authors (co-authors) of three or more publications in a journal with IF. 

Machine learning models play an increasingly important role in decision making across many applied domains such as robotics, health, or finance. It is therefore crucially important that they are sufficiently secure and resilient to adversarial or anomalous input. In this project, we aim to develop methods that improve the security and resilience of machine learning models, with emphasis on robotics applications, so improving the robustness of robo,ts especially in open environments.