Fully-funded PhD Position for 4-years Available at Radboud University, 
Nijmegen, the Netherlands

We are looking for a highly motivated PhD candidate to join our project on the 
formal model-based analysis of partially observable Markov models.

Your main responsibilities will be to conduct cutting-edge research leading to 
the development of
faster and more scalable techniques for the analysis of safety-critical systems 
that operate based on limited information about their environment.
The project allows to freely explore connections between runtime verification, 
model checking, automata learning and reinforcement learning,
depending of the joint interests of the principal investigator and you.  While 
previous knowledge in model checking, Markov decision processes
 or automata theory, and programming skills in C++ or Python are beneficial, 
the willingness to learn and extend your knowledge in these areas is more 
crucial.

The position is available in the Software Science group of the Institute for 
Computing and Information Sciences (iCIS) at Radboud University.
Our mission is to do top research on the use of models for design and analysis 
of software, bridging the gap between theory and applications.
We offer joining a fun and diverse group that maintains a range of 
international cooperations. In 2021, we published our research in top 
conferences
such as CAV, TACAS, (formal methods) AAAI (artificial intelligence) and RSS 
(robotics). Furthermore, our group actively contributes to the development
of the state-of-the-art probabilistic model checker Storm.

The Faculty of Science is a complete science faculty where research and 
education are closely related. The faculty aims to be an academic community
 with an international character, where staff members from different 
backgrounds combine their talents with the common goal of being a leading 
faculty
 of science in Europe. Radboud University is an equal opportunity employer, 
committed to building a culturally diverse intellectual community, and as such
encourages applications from women and minorities. The university offers 
customised facilities to better align work and private life. Parents are 
entitled
to partly paid parental leave and RU employees enjoy flexibility in the way 
they structure their work. The university highly values the career development
of its staff, which is facilitated by a variety of programmes.

For more information, please contact Sebastian Junges or visit
- sjunges.github.io<http://sjunges.github.io>
- cs.ru.nl<http://cs.ru.nl>
- stormchecker.org<http://stormchecker.org>

To apply, please visit: 
https://www.ru.nl/werken-bij/vacature/details-vacature/?recid=1171682&doel=embed
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