Open   Ph.D. Student   &   Postdoc   Positions


       


Ph.D. Candidates

The eXascale Infolab (XI) at the University of Fribourg in Switzerland has several openings for Ph.D. students starting now. XI is a leading research lab focusing on creating next-generation information management infrastructures for scientific, semantic, and social data.

We are looking for highly qualified individuals with a M.Sc. in Computer Science (or related areas). Candidates must have strong analytical and programming skills, a good command of the English language, and a genuine interest in designing, building and publishing innovative approaches and systems to manage Big Data.

XI’s current endeavors include projects to build new Big Data infrastructures to better handle GPS or time series data, and to integrate textual and scientific data through large-scale knowledge graphs using probabilistic models and machine learning. Our lab is highly international (see our current members) and collaborates with top research institutions around the world (see our recent partners).

Salary and social benefits are extremely competitive (salaries for Ph.D. students start at 47K CHF). The positions will be supported by a generous grant (2 million euros) from the European Research Council, and by the Big Data Program of the Swiss National Science Foundation. The Ph.D. students will be able to join existing projects but also to establish their own research agenda with the help of other lab members.

Ideally situated in the heart of Switzerland and at the foot of the Alps, the city of Fribourg lies on the linguistic border between the French and German-speaking parts of the country. In addition to being recognized as a first-class location for business and education, Fribourg is also a delightful and exceptional place to live and is often ranked first for quality of life in Western Switzerland (see for instance http://bit.ly/1XoL0dt ).

If you would like to apply, please send an email with your CV, a short letter of motivation, and some recent technical write-up (B.Sc / M.Sc. thesis, blog post, or technical paper) to [email protected] . Deadline: April 15, 2017.


Postdoctoral Researchers

The eXascale Infolab (XI) at the University of Fribourg in Switzerland has several openings for Postdoctoral Researchers starting now. XI is a leading research lab focusing on creating next-generation information management infrastructures for scientific, semantic, and social data.

We are looking for highly qualified individuals with a Ph.D. in Computer Science. Candidates must have strong analytical and programming skills, and an excellent track record in publishing innovative approaches and systems to manage Big Data.

XI’s current endeavors include projects to build new Big Data infrastructures to better handle GPS or time series data, and to integrate textual and scientific data through large-scale knowledge graphs using probabilistic models and machine learning. Our lab is highly international (see our current members) and collaborates with top research institutions around the world (see our recent partners).

Salary and social benefits are extremely competitive (salaries for Postdoctoral Researchers start at 82K CHF). The positions will be supported by a generous grant (2 million euros) from the European Research Council, and by the Big Data Program of the Swiss National Science Foundation. The Postdoctoral Researchers will be able to join existing projects but also to establish their own research agenda with the help of other lab members.

Ideally situated in the heart of Switzerland and at the foot of the Alps, the city of Fribourg lies on the linguistic border between the French and German-speaking parts of the country. In addition to being recognized as a first-class location for business and education, Fribourg is also a delightful and exceptional place to live and is often ranked first for quality of life in Western Switzerland (see for instance http://bit.ly/1XoL0dt ).

If you would like to apply, please send an email with your CV, a short letter of motivation, and some recent research paper to [email protected] . Deadline: April 15, 2017.