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Faculty of Science
The Faculty of Science (FNWI), part of Radboud University, engages in groundbreaking research and excellent education. In doing so, we push the boundaries of scientific knowledge and pass that knowledge on to the next generation.
We seek solutions to major societal challenges, such as cybercrime and climate change and work on major scientific challenges, such as those in the quantum world. At the same time, we prepare our students for careers both within and outside the scientific field.
Currently, more than 1,300 colleagues contribute to research and education, some as researchers and lecturers, others as technical and administrative support officers. The faculty has a strong international character with staff from more than 70 countries. Together, we work in an informal, accessible and welcoming environment, with attention and space for personal and professional development for all.
Do you have a passion for designing and analysing algorithms? Are you an ambitious researcher with an interest in theoretical computer science, but also with an eye for practical applications? If so, join the Software Science Group as a PhD candidate!
Nowadays, so much new and complex software is being developed that there are not enough specialists to properly test all this software. As a result, companies need more time/resources for developing software, and their products (which we all use) may contain critical bugs. Therefore, there is a great need for algorithms for automatic software testing.
Your main responsibilities as a PhD candidate will be to conduct cutting-edge research within the NWO project Evidence-Driven Black-Box Checking (EVI). Black-box checking (BBC) is an approach in which, during testing, a state-transition model is constructed of the system under test using active learning algorithms. This approach allows testers to routinely find ’deep’ software bugs that are virtually impossible to find using other methods. The EVI project will tackle some fundamental open questions within the context of the BBC approach. In particular, your research will lead to methods to quantify the evidence for correctness of the learned hypothesis model based on the primary evidence obtained through testing. These methods will then allow you to develop smart algorithms for test selection and for deciding when to stop testing. It is expected that such algorithms will clear the way for broad application of BBC in industry.
As a PhD candidate, you will join a vibrant research group. The EVI project is a collaboration with the group of Dr Petra van den Bos from the University of Twente. Like other group members, you will have a limited teaching load (10%).
The position is available in the Software Science group of the Institute for Computing and Information Sciences (iCIS) at the Faculty of Science. Our mission is to conduct world-leading research on the use of models for design and analysis of software, bridging the gap between theory and applications. We have expertise covering a broad range of topics concerning analysis of computer-based systems, mathematical foundations, and software construction. We are a fun and diverse group involved in a wide range of international collaborations.
You can apply only via the button below. Address your letter of application to prof. Frits Vaandrager. In the application form, you will find which documents you need to include with your application.
The first interviews will take place on Monday 11 November. You will preferably start your employment on 1 February 2025.
We can imagine you're curious about our application procedure. It describes what you can expect during the application procedure and how we handle your personal data and internal and external candidates.
Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | 01-02-2025 |
Salary | Promovendus |
Salary |
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Number of positions | 1 |
Full-time equivalent | 1,0 |
City | Nijmegen |
County | Gelderland |
Country | Netherlands |
Reference number | 62.216.24 |
Contact |
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Published | 26.Sep.2024 |
Last application date | 16.Oct.2024 11:59 PM CEST |