Fully-funded PhD position on querying Big Data at Norwegian Univ. of Science and Technology

One fully-funded PhD research fellowship is offered in the ExiBiDa project (https://www.ntnu.edu/idi/exibida) in the Department of Computer and Information Science (http://www.ntnu.edu/idi) at NTNU.

In ExiBiDa, we will focus on exploratory analysis and querying of Big Data, and develop frameworks and scalable techniques for supporting such analytical queries. In particular, the PhD candidate will work with challenges related to efficient algorithms and index structures for processing Big Data, within one of the following topics:

1. Databases on modern hardware (multicore, GPU, NVRAM, etc.)
2. Efficient query processing on Big Data frameworks (parallel and/or distributed query processing)
3. Query processing on streaming data
4. Querying knowledge graphs

Qualifications: A master's degree in Computer and Information Science or equivalent with very good results is required. A solid knowledge of database systems and algorithms and an ability/desire to publish in top database conferences (VLDB, SIGMOD, ICDE, EDBT, CIKM) are essential.
Since Trondheim is a bilingual city where almost everybody speaks and understands English fluently, candidates need not be afraid of a language barrier. The working language of the research group is English.

For more information, please contact Prof. Kjetil Nørvåg (noervaag at idi.ntnu.no).

For detailed information about the positions and application procedure, please see: https://www.jobbnorge.no/ledige-stillinger/stilling/122205/phd-candidate-within-querying-big-data

Closing date:  17th of April, 2016