Open Position: permanent Assistant Professor, tenure track, in Data Science at EURECOM (France)

EURECOM hosts a well-established academic research group in the field of 
Data Science in Europe, as demonstrated, for example, by the recent 
appointment of an AXA Research Fund Chair in Computational Statistics, 
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 
and 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

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:

  * Probabilistic Machine Learning and Computational Statistics
  * Probabilistic Reasoning and Reinforcement Learning
  * Statistical Learning Theory

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 machine learning problems raised by industrial 
applications, for example provided by EURECOM industrial partners.

NOTE: the working language at EURECOM is English, courses are delivered 
in English, and all communications with the administration are in 
English and French.


Candidates must have a Ph.D. in computer science, statistics, 
engineering, 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., NIPS, ICML, AISTATS, UAI, JMLR, 


Applications should include:

  * a motivation letter
  * a CV including a publication list emphasizing the three most 
important publications
  * a statement of proposed research and teaching activities
  * the names and addresses of four references

Applications should be submitted by e-mail to recruitment-mdc-ds [at] 
eurecom [dot] fr with the reference: DS_PM_PROF_ML_102018

Raphaël Troncy
EURECOM, Campus SophiaTech
Data Science Department
450 route des Chappes, 06410 Biot, France.
e-mail: &
Tel: +33 (0)4 - 9300 8242
Fax: +33 (0)4 - 9000 8200

Received on Wednesday, 6 February 2019 13:15:05 UTC