Human-Centered Interactive Data Analysis and AI in Digital Libraries and Digital Humanities 30 - 100 %

The position is aligned with the application-oriented focus of the IVDA group towards research into Digital Libraries and Digital Humanities. Together, we will develop novel approaches for the characterization, design, and evaluation of interactive visual data analysis solutions that combine the strengths of both humans and algorithms. This position is particularly suitable for candidates with interests/experience in interdisciplinary, collaborative, and applied work in the digital humanities, digital libraries, or sustainability domains.
We are pursuing a human-centered approach to data science, machine learning, and AI, to foster human involvement in the data analysis process rather than replacing them. In the context of the digitalization, data-driven research and decision-making, human-machine collaboration, and human-centered AI, we will study human workflows, identify and preserve steps with high human intellectuality, and establish practices of both high human control and automation. Together, we will address data-oriented challenges such as multivariate, multimodal, heterogeneous, dirty, uncertain, or unlabeled data. Important model-oriented challenges include data preprocessing, model building, model quality assessment, and model explanation. User-oriented challenges include varying degrees of user expertise, personalization intents, human factors, and understanding and supporting user preferences for data and tasks to contribute to an enhanced user experience.
Your responsibilities focus on the design and implementation of visual analytics solutions in an interdisciplinary research environment. You will work together with members of the IVDA group and collaborate with external domain experts. Your work directly contributes to conduct excellent research, generating results which are published and presented in top international journals and conferences.