Grants vary from 1509,80 to 989,70 euro net per month (for candidates holding a PhD or an MSc degree, respectively) for periods extensible up to 24 months. Efforts are being made to obtain further financing so as to extend the period of the grants. Please contact the people listed below for the specific details of each of the grants.
WP 1.2 | Security by Construction in Cloud and Internet of Things Ecosystems
Research fellowship to supervise the pursuit and the quality of the research activities on security by design in Cloud and Internet of Things ecosystems, as well as for the execution of parts of those works, including research activities on ways to establish the assurance of security in software systems by design, focusing mainly on software and development processes (security engineering). It also includes the prototyping of a set of software tools for security engineering, attack modelling, and semi-assisted testing.
WP 2.2 | Passing Cloud
The successful candidate will research and develop algorithms and applications for the development of a framework to identify, predict, monitor and warn on constraints and risks for road traffic. Therefore, it is expected that the applicant has and is able to further develop research and development skills on mobile applications, integration of Artificial Intelligence technologies, and Cloud Computing technologies. It is also expected that the successful candidate is able to perform some administrative tasks related with the scientific management of the project. The successful applicant will also be responsible for accompanying the development of research work with graduate and undergraduate students and junior researchers, and of contributing to the writing of research projects in this area.
WP 3.2 | Big Text to Knowledge (BText2K)
Research fellowship to pursue research work on the extraction of knowledge from unstructured text, especially the huge amounts of text (“Big Text”) stored in, or flowing through, large infrastructures like a cloud or the Web. In particular, there is a high interest in the extraction of binary relations between named-entities and relations that characterize entities. This kind of relations are of great relevance, being fundamental for multiple advancements in Natural Language Processing, and also with many interesting applications in different areas of Artificial Intelligence.