The Institute of Computer Engineering at Technische Universität Wien (TU Wien) is seeking a candidate for a research assistant position (PhD student, 4 years).
The successful applicant will carry out his/her PhD in the research area of formal methods applied to the specification and monitor of large-scale, spatially-distributed, stochastic systems, contributing to the recently acquired project: “High-dimensional statistical learning: new methods to advance economic and sustainability policies”.
The application deadline is August 31, 2019.
Formal methods provide precise formal specification languages that can be easily interpreted by humans and verification algorithms that can check in an automatic way the value of satisfaction of interesting properties. One of the main problems of such techniques is the curse of dimensionality. A possibility to treat the problem is to use approximate methods such as statistical model checking. However, even these methodologies can be unfeasible for very-large-scale stochastic systems. A new research line consists of exploiting machine learning techniques and Bayesian inference to identify relevant data and decrease the computational cost, permitting the application of such powerful formal analysis on very complex systems. An important aspect that will be covered in the study is the spatial configuration of such systems, a key feature in several real case studies that are considering in the project. The methodology will be principally applied to tackle questions related to sustainable urban mobility and thus responsible consumption.
Please submit your application following the instructions in the DK LogiCS admission portal. https://logic-cs.at/phd/admission/, by indicating in the application form: Prof. Ezio Bartocci and Dr. Laura Nenzi as supervisors. While it is not necessary to have the Master degree at the moment of the application, it is instead mandatory to complete it before starting the PhD. Deadline: August 31, 2019
For further information and inquiries about this post please contact Laura Nenzi, E-Mail: firstname.lastname@example.org