Postdoctoral opportunity on anonymization of mobile phone data at CITI Lab

Subject

Anonymization of mobile phone data: algorithm design and impact on applications

Location

CITI Lab, INSA Lyon, Inria – Villeurbanne, France http://www.citi-lab.fr

Position

18-month postdoctoral fellowship

Start date

Fall 2016

Contacts and supervisors

Marco Fiore marco.fiore@ieiit.cnr.it

More info: http://perso.citi.insa-lyon.fr/mfiore

Razvan Stanica razvan.stanica@inria.fr

More info: http://perso.citi.insa-lyon.fr/rstanica

Salary

EUR 2,300 per month (net)

Topic

Applications are invited for one postdoctoral position on technical solutions for privacy-preserving publishing of mobile phone data.

The fellow will work on:

(i) the design of algorithms for the anonymization of datasets of mobile network customer trajectories;

(ii) the implementation of such algorithms in big data processing engines;

(iii) the evaluation of the resulting solutions on production databases provided by network operators.

The work will be carried out in cooperation with CNR-IEIIT, Italy, whose early solutions [1,2] will represent the foundations for the work carried out by the fellow, and with Orange, a major mobile network operator in France, who will provide real-world case studies where to apply the privacy solutions at scale.

[1] M. Gramaglia, M. Fiore, On the anonymizability of mobile traffic datasets, NetMob 2015, Boston, MA, USA, May 2015
[2] M. Gramaglia, M. Fiore, Hiding Mobile Traffic Fingerprints with GLOVE, ACM CoNEXT 2015, Heidelberg, Germany, December 2015

What we ask

– A PhD in Computer Science or related field

– Proven past experience in big data processing, preferably with Spark

– A strong publication record in relevant top-tier conferences and journals

– Fluency in written and spoken English.

What we offer

– A unique opportunity to work with massive, fine-grained mobility data

– The possibility to advance the state-of-the-art in the mobile data analytics field

– The prospect to publish at major venues in networking and data mining.

How to apply

– A CV

– A one-page research statement discussing how the candidate’s background fits requirements and topic

– Contact details of two referees shall be sent to marco.fiore@ieiit.cnr.it and razvan.stanica@inria.fr

Applications will be reviewed until the position is filled