[Announcements] Postdoctoral position in applied data science at CNR, Turin, Italy

[Marco Fiore]

** Position: 18-month postdoctoral fellowship
** Subject: Spatiotemporal characterisation of mobile service demands
** Starting date: Early 2019 (flexible)
** Location: CNR-IEIIT, Turin, Italy (http://www.ieiit.cnr.it/)
** Supervisor: Marco Fiore (http://perso.citi.insa-lyon.fr/mfiore/)

We are looking for an enthusiastic postdoctoral fellow to carry out cutting
edge research on the discovery of regular and anomalous spatial and temporal
patterns in the demands generated by thousands of mobile apps at different
geographical scales. Depending on mutual interest, the outcome will have
applications to, e.g., network management, urban geography, or demographics.

The position offers:
- the opportunity to work with datasets of traffic generated by individual
mobile apps running at millions of devices in an operational, large-scale
cellular network;
- a fully funded, 8-month visiting period at the University of Iowa, IO, in
the group of Prof. Zubair Shafiq (http://www.cs.uiowa.edu/~mshafiq);
- the prospect to publish at top-tier venues in networking and/or ubiquitous
computing.

The position requires:
- a MSc degree and a PhD in Computer Science or other relevant field;
- fluency in written and spoken English;
- a strong publication record commensurate with academic age;
- proven past experience in data-driven research.

Applicants should address a single PDF file to marco.fiore at ieiit.cnr.it, with:
- a complete curriculum vitae;
- the contact details of two referees;
- a one-page (hard limit) research statement with: (i) a brief one-paragraph
presentation of the two most important research achievements of the candidate,
and (ii) a statement of how the candidate's background and research interest
are relevant to the position, possibly but not necessarily in the light of the
recent works at the hosting groups [1-7].

Applications will be reviewed until the position is filled.

References:
[1] G. Khodabandelou, V. Gauthier, M. Fiore, M. El-Yacoubi, "Estimation of
Static and Dynamic Urban Populations with Mobile Network Metadata", IEEE
Transactions on Mobile Computing, to appear
[2] C. Marquez, M. Gramaglia, M. Fiore, A. Banchs, X. Costa-Perez, "How Should
I Slice My Network? A Multi-Service Empirical Evaluation of Resource Sharing
Efficiency", ACM MobiCom 2018
[3] C. Marquez, M. Gramaglia, M. Fiore, A. Banchs, C. Ziemlicki, Z. Smoreda,
"Not All Apps Are Created Equal: Analysis of Spatiotemporal Heterogeneity in
Nationwide Mobile Service Usage", ACM CoNEXT 2017
[4] A. Furno, M. Fiore, R. Stanica, C. Ziemlicki, Z. Smoreda, "A Tale of Ten
Cities: Characterizing Signatures of Mobile Traffic in Urban Areas", IEEE
Transactions on Mobile Computing 16(10), October 2017
[5] A. Furno, M. Fiore, R. Stanica, "Joint Spatial and Temporal Classification
of Mobile Traffic Demands", IEEE INFOCOM 2017
[6] A. Furno, D. Naboulsi, R. Stanica, M. Fiore, "Mobile Demand Profiling for
Cellular Cognitive Networking", IEEE Transactions on Mobile Computing 16(3),
March 2017
[7] M.H. Mazhar, Z. Shafiq, "Real-time Video Quality of Experience Monitoring
for HTTPS and QUIC", IEEE INFOCOM 2018.

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Marco Fiore
CNR - IEIIT
Corso Duca degli Abruzzi 24
10129 Torino, Italy
phone: +39 011 090 5434
mail:  marco.fiore at ieiit.cnr.it
web:   http://perso.citi.insa-lyon.fr/mfiore