Job Opening: Tenure Track Faculty Professor Position in "Large Scale Data Management and Knowledge Extraction" in EURECOM

The Data Science Department of EURECOM invites applications for a 
tenured position at the Assistant Professor level in the area of 
*Large-scale Data Management and Knowledge Extraction*.

EURECOM hosts a well-established academic research group in the field of 
Data Science in Europe, as testified, for example, by the recent award 
of a Chair of Computational Statistics from the AXA Research Fund, and 
by awards such as the “H2020 European Stars Prize” for our research in 
Large-scale Distributed Systems and Big Data. The activity of the 
professors in the department cover key areas, such as:  computational 
statistics, theory and practice of machine learning, deep learning, 
adversarial learning and data economics, parallel and distributed 
algorithms and systems, natural language processing and information 
extraction, knowledge base development and semantic web technologies. 
Additional information on the Data Science Department is available at 
http://www.eurecom.fr/ds/

The new faculty is expected to join forces with the department by 
integrating, complementing and extending existing research activities 
with original approaches in one or several of the following areas:
* (Very Large) Database Systems and Theory
* Information Retrieval and Data mining
* Information Extraction, Knowledge bases and Semantic/Linked data

Candidates must have a Ph.D. in computer science, electrical 
engineering, applied mathematics or related disciplines, and have 
postdoctoral research experience in one or several of the above areas, 
as well as a strong publication record (e.g., WWW, VLDB, SIGMOD, KDD, 
SIGIR, ISWC, ACL).

The new faculty is expected to carry out fundamental research and to 
develop new graduate courses in the aforementioned domains. While 
actively leading research with her/his team, the new faculty is also 
expected to enhance the resources of the department by attracting 
additional funding. Besides excellence in academic research, she/he must 
tackle real life data management problems raised by industrial 
applications, for example provided by EURECOM’s industrial partners.

More information regarding how to apply at 
http://www.eurecom.fr/sites/www.eurecom.fr/files/jobs/OFFICIAL-MDCDS2017-EN.pdf

   Raphaël Troncy

-- 
Raphaël Troncy
EURECOM, Campus SophiaTech
Data Science Department
450 route des Chappes, 06410 Biot, France.
e-mail: raphael.troncy@eurecom.fr & raphael.troncy@gmail.com
Tel: +33 (0)4 - 9300 8242
Fax: +33 (0)4 - 9000 8200
Web: http://www.eurecom.fr/~troncy/

Received on Monday, 6 February 2017 14:54:16 UTC