We are looking for passionate and talented researchers to join the group as PhD students and postdoctoral assistants.
Within the team, you will work on theoretical and systems aspects of data management and at the intersection of databases and machine learning. To get an idea of the kind of research done in the group, please have a look at our most recent publications and presentations. Our research projects are typically supported by industry (RelationalAI, OrdnanceSurvey, Infor), European Commission (ERC consolidator grant FADAMS), and University of Zurich. We are fortunate to collaborate with world-class researchers from academia and industry in Switzerland (EPFL), in the USA (RelationalAI, Universities of Cornell, Washington, and Michigan), and in the UK (Universities of Edinburgh and Oxford). We regularly publish in conferences (e.g., SIGMOD, PVLDB, PODS, ICDT, ICDE, EDBT) and journals (e.g., ACM TODS, VLDBJ, SIGMOD Record) in data management and database research, though we occasionally also publish outside the data management community (e.g., CGO, OOPSLA, AISTATS, AAAI).
If you are interested in joining our group to work on the research topics currently pursued by DaST (or strongly connected topics) and fit the profile given below, please contact Prof. Dan Olteanu by email with your CV and a cover letter stating your research interests and reason for applying. (Later in the process we will also need at least three references and transcript of your studies.)
The positions will be open until filled. The starting date is flexible.