The Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence of the University of Groningen invites applications for a tenure-track Assistant Professor position (research profile) in Intelligent Software Systems. Modern computing is at the heart of modern technology and increasingly interdisciplinary, combining areas such as embedded systems, distributed computing, visualization, machine learning and artificial intelligence to address complex technological and societal challenges.
We are looking for a creative researcher and educator working in one or more of the following areas: distributed systems, visualization/computer graphics, AI and machine learning. These areas are merely indicative; your work could range from the theoretical analysis and design of intelligent algorithms and scalable systems to developing innovative ways to visualize and interact with complex data.
We offer a full-time position with excellent career development opportunities in our faculty's career system Career Paths in Science and Engineering, including the possibility of a permanent appointment (tenure) in 1-3 years to become Full Professor in approximately 10 years.
We welcome applicants of all backgrounds and ages, and we especially strongly encourage candidates from groups that are typically under-represented in academia. In case of equal qualifications, preference will be given to candidates from these under-represented groups.
We are committed to fostering a work environment that embraces equity, diversity and inclusion, where all voices are heard, respected and valued. We believe that diverse perspectives strengthen both our research and teaching, and we actively work to eliminate bias in our hiring and retention processes.
We are looking for candidates who:
- Hold a PhD degree in computer science or a related field.
- Have at least two years of postdoctoral experience, preferably in a different country than where you received your PhD (can be compensated for after the appointment via extended research visits abroad).
- Maintain a strong international research network.
- Display excellent research qualities, as shown by a publication record in international peer-reviewed journals and proceedings of renowned conferences.
- Can demonstrate a good track record in teaching, appropriate to your career stage.
- Have demonstrable organizational competences.
- Exhibit cross-cultural awareness.
- Have good command of spoken and written English.
- Contribute to a collaborative and inclusive work environment.
And you are:
- A collaborative colleague with good communication skills, who values different perspectives.
- Able to acquire substantial research grants from external sources.
- Willing to obtain a University Teaching Qualification (Dutch: BKO) within three years.
- Able to speak the Dutch language or motivated to speak it within five years.
We welcome candidates from all backgrounds to apply, including those with unconventional career paths.
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 .
The position we offer will be embedded within the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, in the Computer Science Department. The specific research group in which the position will be embedded depends on the profile of the candidate and will be one of: Intelligent Systems, Scientific Visualization & Computer Graphics, and Distributed Systems. The Bernoulli Institute is one of the leading institutes in Mathematics, Computer Science and Artificial Intelligence. It is a vibrant community with an international outlook, that fosters talent in all its research areas and disciplines, and is active in pure and applied science and (multi)disciplinary research and teaching.