The position is available in the Data Science (DaS) group of the Institute for Computing and Information Sciences (iCIS) at Radboud University. The mission of the DaS group is to develop theories and methods for scalable machine learning and information retrieval to analyse big data and address challenging problems in science and society.
We have expertise covering a broad range of topics concerning machine learning (causality, deep learning, Bayesian methods) and bridge the gap between theory and practice through collaboration with stakeholders from industry and other application domains. We put a special emphasis on responsible data science, focusing on innovations with a positive impact on society, and seeking to avoid harm.
The DaS group is part of the Radboud ELLIS unit, which brings together ongoing machine learning research at Radboud University and the Radboud university medical center and links this research to the international ELLIS ecosystem. The overarching theme of the Radboud ELLIS unit is 'AI for Life'.
Radboud University's Institute for Computing and Information Sciences is an internationally recognised institute, consistently ranked among the top Computer Science departments in the Netherlands. iCIS comprises an enthusiastic and devoted team of excellent academics that closely collaborate in a flat organisational structure. The institute focuses its research on three themes: data science, digital security, and software science, with the overall aim to contribute to both science and society. The themes span the full breadth from fundamental to application-oriented research. iCIS staff members are responsible for the Bachelor’s and Master’s programmes in computer science and information sciences, and contribute to the Bachelor’s and Master’s programmes in AI. The institute continuously strives to increase the diversity of its staff and has been particularly successful in attracting female staff. In 2017, iCIS received the Minerva award for gender and diversity from Informatics Europe. More than half of our scientific staff have an international background.
Within the Radboud ELLIS unit, iCIS researchers closely collaborate with AI researchers from other faculties and the university hospital. The ELLIS unit organises regular events, encourages interactions among AI researchers, offers ELLIS fellowships to attract excellent Master’s students, and has links with local, national and international ecosystems.
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