New nanomaterials increasingly find their way to the European market, because of their unique applications. Understanding the (lack of) safety of nanomaterials is therefore of utmost importance. This postdoc position takes responsibility for the development of new intelligent methods that strengthen our understanding of the safety issues of nanomaterials. The project will explore and contribute to the required bioinformatics and statistical solutions in order to develop predictive models of safety-related properties, where main focusses will be the development of ontologies, Linked Data approaches, and cheminformatics and chemometrics methods. This work is conducted as part of an EU FP7 project serving the European NanoSafety Cluster (NSC, http://www.nanosafetycluster.eu) community. You will be primarily responsible to meet our group's deliverables and to actively contribute to the FP7 project and the NSC community. However, the project also provides the opportunity to continue promising research in development and use these state-of-the-art technologies to explain the biological and chemical mechanisms and pathways involved in the safety of the various types of nanomaterials.
