The positions are within dr. Sicco Verwer's recently funded VIDI project "Learning state machines from infrequent software traces". The project goal is research and develop novel model learning algorithms and develop tools for learning from software log data. The aim is to provide software analysts with insightful models. We are able to learn insightful state machine models for the frequent happy flow of software. Although these can be useful to understand software, the real interesting behavior occurs in the infrequent unhappy flows, typically caused by errors. The project aims at learning state machines from such unhappy flows. Using techniques from outlier explanation we aim to uncover how unhappy flows differ from happy ones (position 1). Additional information available in software log databases such as co-occurring flows will be used as a form of active learning to obtain more information about unhappy flows (position 2). We will work close together with developers and analysts from our industrial partners Adyen and Bitdefender to develop a tool that helps them to understand software/network logs and errors.

You have:

• an MSc in computer science, mathematics, or similar.
• a keen interest in machine learning for software analysis.
• a strong motivation for solving real world problems.
• good analytical and problem solving skils.
• excellent command of English speaking and writing.  

Fixed-term contract: 4 years.

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.tudelft.nl/phd for more information.

Technische Universiteit Delft

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty’s excellent facilities accentuate its international position in teaching and research. Within this interdisciplinary and international setting the faculty employs more than 1100 employees, including about 400 graduate students and about 2100 students. Together they work on a broad range of technical innovations in the fields software technology and intelligent systems.