Postdoctoral fellowship in distributed graph data analytics at the University of Waterloo and IBM R&D Canada. We are seeking a Postdoctoral Fellow for a SOSCIP-funded project on Distributed and Scalable Search in Enterprise Databases. The aim of the project is to build a distributed graph keyword search system on top of Apache Spark GraphX. The length of the project is two years, with an initial one-year term. This is a collaborative project between the University of Waterloo and the IBM Canada R&D Lab in Toronto, Ontario. Qualifications: The successful candidate will design and develop novel analytical frameworks, infrastructure and algorithms to handle very large graphs. The project is expected to lead to publications in top-tier venues. Candidates must have a Ph.D. in Computer Science (or a related field), with a specialization in in large-scale data management, data mining or machine learning, and with a strong publication record. Expertise in programming languages such as Java, C++ and Python is desirable. Experience with graph databases and distributed environments (e.g., Apache Spark) is a plus. Candidates should have strong communication skills and be able to mentor junior graduate students. Starting time: The project will start September 1st 2017. How to apply: Applications will be accepted until the position is filled. To receive full consideration, please send a CV and contact information of three references to Dr. Lukasz Golab (lgolab@uwaterloo.ca) by June 15th 2017.