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U. Luxembourg: Professor of Computer Science – Big Data


Complement and strengthen the existing research expertise in the CS and Communication Research Unit, reinforce and expand the activities in the field of Big Data.



U. Luxembourg At: U. Luxembourg
Location: Luxembourg
Web: emea3.mrted.ly/idm6


The University of Luxembourg is an international research-intensive University (wwwen.uni.lu/).

The Faculty of Science, Technology and Communication has an opening for a Professor of Computer Science - Big Data (M/F)
see emea3.mrted.ly/idm6

Deadline for application: March 31st, 2015.

Possible starting date: January 2016 (to be discussed)

Your Role
The professor position is intended to complement and strengthen the existing research expertise in the Computer Science and Communication Research Unit (CSC) of the Faculty of Science, Technology and Communication (FSTC) at the University of Luxembourg. He or she will reinforce and expand the activities of the RU in the field of Big Data. Big data refers to the storage, aggregation and analysis of massive amounts of structured and unstructured data, including machine learning and data mining.

The professor may be specialized in specific application domains of Big Data, for instance in relation with the "Computational Science" priority of the FSTC, or the Luxembourg Centre of Systems Biomedicine (LCSB ) and Interdisciplinary Centre of Security and Trust (SnT) research centers.

Useful links for more information about the research in Luxembourg:
 
Excellent candidates in closely related fields may also be considered. Strong interactions with existing theoretical and experimental groups in Luxembourg are desirable.

The successful candidate will take part in the teaching activities of the Faculty. The contribution of the new colleague is essential to ensure high quality courses in this new key and broad domain that is Big Data.

Your Profile
We are looking for a person with outstanding academic credentials and a track record of high international visibility in the field of Big Data. Didactic skills, leadership abilities, service to the scientific community and the willingness to collaborate with existing research groups will be considered as well.

The following topics of Big Data are of interest:
  • Big Data Processing, Programming and DBMS
  • Cloud Computing Techniques for Big Data
  • Big Data Quality and Provenance Control
  • Big Data Protection, Integrity and Privacy
  • Machine Learning and Data Mining based on Big Data
  • Distributed and Peer-to-peer Search
  • Large Scale Natural Language Processing
  • Visualization of Big Data
  • Big Data in Systems Biology and Biomedicine
  • Big Data in Security (threat detection in very large systems or using Big Data)
  • Big Data in Human-Computer Interactions and Robotics
  • Big Data in Mobile and Pervasive Computing

 


Some information on Luxembourg
Luxembourg city is an intensely international and cosmopolitan city in the heart of Europe, hosting many European and international institutions and corporations. It has a vibrant cultural life and is easily accessible from the main European airports and by high-speed train from Paris. Income taxes are comparatively low in Luxembourg and the country infrastructures are second to none. Luxembourg residents have the highest income per capita of any country in the world. Public research funding is generous by international standards and is managed by the FNR (www.fnr.lu/en).
 


Application procedure
Applications should be submitted in English with the following documents:
  • A motivation letter;
  • A copy of the diploma of doctorate;
  • A detailed curriculum vitae with a list of publications of the candidate;
  • A copy of the three publications that the candidate considers as most representative of his or her research activity;
  • A list of three references with their name, address and present position. Please indicate their relationship to you.

 
Ref: F1-030004 (to be mentioned in all correspondence).

Applicants should send their complete application package in both printed and electronic forms to the following address before 31/03/2015

Professor Paul Heusching
Dean of the Faculty of Science, Technology and Communication
6, rue Richard Coudenhove Kalergi
L-1359 Luxembourg
paul.heuschling@uni.lu

More information about the position can be obtained from the head of the CSC Research Unit, Professor Yves Le Traon : yves.letraon@uni.lu

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