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Are you intrigued by the expanding role of AI in software engineering—and eager to explore both its potential and its limitations with scientific rigor and real‑world relevance? Do you want to drive cutting‑edge research, inspire the next generation of software engineers, and collaborate closely with partners in academia and industry? Then you may be the Assistant Professor we’re looking for.

Information
Software engineering faces persistent challenges such as increasing system complexity and interdependence, technological diversity, and the socio-technical nature of software development. These factors call for new and innovative solutions. The rise of advanced AI‑driven tools and techniques offers powerful opportunities to address long‑standing issues, and an increasing number of companies are exploring AI applications to enhance their software engineering practices. At the same time, applying AI in software engineering introduces challenges related to accuracy, efficiency, fairness, correctness, integration into existing workflows, and usability.

The appointed Assistant Professor will conduct cutting-edge research on the use and impact of AI methodologies in software engineering. We expect them to be able to collaborate with most researchers from the Software Engineering and Technology cluster (SET).

The research at SET addresses a broad spectrum of software engineering topics: from digital twins to software evolution, from software architecture to software verification, and from human aspects of software engineering to secure software engineering. Our current software engineering faculty includes Ion Barosan, Mark van den Brand, Michel R. V. Chaudron, Loek Cleophas, Yanja Dajsuren, Iman Hemati Moghadam, Kees Huizing, Jacob Krüger, Ivan Kurtev, Alexander Nolte, Lina Ochoa, Mazyar Seraj, Alexander Serebrenik, Katja Tuma, and Anton Wijs.

As an assistant professor, you bring a strong affinity for software engineering, a solid background in AI, and a publication record in leading software engineering conferences and journals. In this role, you will also help shape SET’s educational portfolio by teaching at the bachelor and master levels and supervising student projects. During the first three years of your appointment, your teaching load will not exceed 30%, increasing to a maximum of 50% thereafter. Within these three years, you are expected to obtain the University Teaching Qualification, supported by our dedicated training and mentoring programs.

In this role, you will contribute to the ambition of the Beethoven program to educate top talent and strengthen research across the fields of Science, Technology, Engineering, and Mathematics (STEM).