Algorithms and software power digital services critical to society: from commerce and transport, to healthcare, energy, finance, communication, scientific research and education. Ensuring that these systems are reliable, scalable, and intelligent is one of today’s most pressing challenges. Embedded within the Faculty of Science and Engineering, the Bernoulli Institute has identified data-intensive systems as a key cluster of scientific challenges of the future. With this position, the institute aims to strengthen and complement its expertise in this important research domain, also in the context of local and national initiatives, such as the Dutch AI Factory that will be based in Groningen.
Recent advancements in AI and machine learning have profoundly transformed the way large-scale software systems are designed, deployed, and maintained. At the same time, the intrinsic distributed and parallel nature of modern IT infrastructures and the growing importance of machine learning techniques and innovative visual interfaces highlight the need for innovative, interdisciplinary approaches.
The scientific fields of distributed systems, intelligent systems (including machine learning and AI), scientific visualization, and computer graphics, each address different aspects of data and software-intensive systems; from design and implementation to analysis, visualization, and intelligent operation.
The successful candidate will join one of the following groups of the Bernoulli Institute: Distributed Systems, Intelligent Systems, or Scientific Visualization & Computer Graphics. As an assistant professor, you will be expected to collaborate across these groups to advance research on intelligent software systems, contributing your expertise in one or more of these areas and helping to build interdisciplinary bridges that tackle the challenges of modern computing.
Concretely, you will:
– develop and lead your own research line and group;
– supervise PhD students and contribute to teaching in computing science programs.
– acquire external funding;
– promote the societal impact of your research;
– contribute to the teaching needs of the Bernoulli Institute;
– participate in organizational tasks (e.g., committees, working groups).
At the stage of Assistant Professor (research profile) 60% of your time is for research, 30% for teaching activities and 10% for organizational tasks.
For in-depth information regarding this position, including potential embedding in the Bernoulli Institute, applicants are strongly encouraged to consult the profile report.
