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The DSC provides funding for PhD students to research new data science methods that help to tackle challenging problems in a given domain.  Interdisciplinary PhD projects are realised through joint supervision: one supervisor with core expertise in data science methods, the other with core expertise in the domain problem. 
DSC funded PhD candidates Project topic Collaborating faculties Contact details
Stefanie Boss Legal compliance issues in decentralised systems Faculty of Law (FdR) and Informatics Institute (IvI)
Jacobus Dijkman  Optimal CO2 conversion by inverse design Van‘t Hoff Institute for Molecular Sciences (HIMS), Informatics Institute (IvI)
Owen Kapelle Perceiving through the language lens: an interdisciplinary data-driven approach to language-perception interaction Department of Linguistics (FGw), Swammerdam Institute for Life Sciences (SILS)
Niklas Müller Building better vision models using pre-cortical inductive biases  Informatics Institute (IvI), Department of Psychology (FMG)
Max van Spengler The GPU Dentist: Instilling Domain Knowledge in Deep Networks through Hyperbolic Geometry  Informatics Institute (IvI), Faculty of Dentistry (ACTA)
Shuai Wang Innovation genome: Discovering the secret ingredients of successful innovations in the cultural industries and science using geometric deep learning and visual analytics  Faculty of Economics & Business (FEB), Faculty of Science (FNWI)
Zeyu Zhang Natural Language Processing and Responsible Data Management for Mental Health Research Informatics Institute (IvI), Medical Informatics (AUMC)