Doctoral Position (f/m/d) at the University of Konstanz 
 "Machine Learning for Graph Database Systems"

The position is part of the research project "GraphQueryML: Using Machine
Learning to Optimize Queries in Graph Databases", which is jointly funded by the
Deutsche Forschungsgemeinschaft (DFG) and the Swiss National Science Foundation
(SNSF). The successful applicant will join the Database and Information Systems
research group (https://dbis.uni-konstanz.de) at the University of Konstanz and
will collaborate with project partners at Zurich University of Applied Sciences
and ETH Zurich. The working language is English. 

In the Database and Information Systems research group at the University of
Konstanz, we develop novel graph database systems. In particular, we design
algorithms and data structures to scale the management and processing of complex
data sets. The GraphQueryML project will explore the new opportunities presented
by machine learning and study its applications to query optimization within
graph database systems. As a member of our team, you will have the opportunity
to contribute to state-of-the-art research and interact with the global research

The University of Konstanz is one of eleven Universities of Excellence in
Germany. Since 2007 it has been successful in the German Excellence Initiative
and its follow-up programme, the Excellence Strategy.

Your responsibilities 
– Research on machine learning for graph database systems and, in particular, 
  query optimization
– Problem solving through creative and innovative thinking
– Communicating your results by publishing research papers at top-level venues
– Supervising students who contribute to your work

Your Competencies
– Background in machine learning and computational statistics
– Scientific graduate degree (MSc or equivalent) with excellent grades in 
  Computer Science, Applied Mathematics or closely related field
– Strong written and oral communications skills in English are required
– Strong motivation and determination
– Very good interpersonal and leadership skills

We offer excellent development opportunities, extensive training and mentoring,
an attractive remuneration package (full-time, E 13 TV-L), full funding for
international and German students, a professional infrastructure and a
stimulating environment for research, and international collaborations and
exchange research visits.

Questions can be directed to Prof. Dr. Michael Grossniklaus via E-Mail:

We look forward to receiving your application, consisting of a cover letter,
curriculum vitae, copies of degrees, and, if applicable, list of publication,
until May 1st 2021 via our Online Application Portal: