For this call, the IAS and DSC are looking for proposals that focus on a specific research question, aiming at methodological innovation across data science and another research domain and/or novel fields of application of data science methods or data sets and/or explorations of the more general focus on the interdisciplinary aspects of data science as a lingua franca that connects disciplines.
A PhD degree is a minimum requirement for at least one of the applicants. The applicant(s) is/are required to have demonstrable (combined) expertise in both Data Science/Machine Learning and another discipline.
Fellowships usually have a duration between 2 - 6 months and could start by September 2022. For non-EU nationals, the maximum duration of fellowships is 3 months. However, fellowship duration and start date can be tailored to individual needs.
More information and application
Deadline for applications is 10 May 2022. For more information on the Fellowship, criteria and application form please visit the IAS website.
One of the disciplines that is increasingly relevant to and applied in many other research areas is Data Science. While its emergence is quickly impacting research practices across many domains, there is still a knowledge gap when it comes to the tools and approaches used by data scientists and those used by other researchers in other domains and vice versa. This means wasted opportunities for integration, cross-pollination and innovation.
To accelerate the fruitful uptake of Data Science methods and tools across the university, in 2021 the UvA created its own Data Science Center (DSC). Meanwhile, the Center has supported all UvA faculties to embed Data Science expertise into their existing teams to develop, share and apply data science methods and technologies.
IAS’ mission is to advance cutting-edge interdisciplinary research that addresses complex scientific and societal challenges. It does so by incubating interdisciplinary research collaborations, connecting them to other societal actors and supporting the work of (teams of) Fellows to freely explore and collaborate, driven by curiosity.