Print

Print


*****  To join INSNA, visit http://www.insna.org  *****

==========================================================
Two post-doc positions are open @ IIT-CNR, Pisa, Italy:
#1: Analysis of large-scale Online Social Networks (H2020 SoBigData)
#2: Fog/Edge computing in IoT (with application to Industry 4.0) (H2020 AUTOWARE)

** Position type: postdoctoral fellowship, 12 months (renewable) 
** Starting date: ASAP, from September 2016
** Location: IIT-CNR, Pisa, Italy - http://www.iit.cnr.it/ 
** Supervisor: Andrea Passarella - http://cnd.iit.cnr.it/andrea/ 
** Entry-level salary: EUR 1640-1940 per month (net) depending on experience
** Application deadline: continuous evaluation, up until the end of August 2016


Position #1: Analysis of large-scale Online Social Networks
-----------------------------------------------------------
Job description
---------------
Online Social Networks are one of the main sources of Big Data to analyse the
human social behaviour, and design smart human-centric services that exploit
this knowledge. The post-doc activities will be focused on
(i)  collecting and analysing large-scale datasets that describe
     the structure of human social networks in OSNs, and
(ii) designing radically new data-centric services based on this knowledge.

Successful candidates will be supervised by Dr. Andrea Passarella
(http://cnd.iit.cnr.it/andrea), and will work in the H2020 SoBigData European
Project, the only EC-funded H2020 Research Infrastructure for the analysis of
human social behaviour from BigData (http://www.sobigdata.eu/).

The post-doc activities will involve developing interdisciplinary approaches,
mixing efficient data crawling and collection techniques, large-scale data
analysis, complex network analysis and modelling, knowledge extraction according
to quantitative models describing the humans' social behaviour, design of
data-centric services in OSN platforms. 

Candidate profile
-----------------
Ideal candidates should have or about to obtain a PhD in Computer Science,
Computer Engineering, Physics, Statistics, or closely related disciplines, and a
proven track record of publications in relevant top-tier conferences and
journals. Preferably, the topic of the PhD should have been in one of the
relevant research areas (BigData analytics, OSN analysis/programming, Complex
network analysis). Good written and spoken communication skills in English are
required.




Position #2: Fog/Edge computing in IoT (with application to Industry 4.0)
-------------------------------------------------------------------------
Job description
---------------
The expected amount of data generated by pervasive devices in IoT environments
calls for fog/edge computing approaches where data management and analysis is
carried out at the edge of the network.

One post-doc position is open in this area, and on the application of fog/edge
computing to Industry 4.0 systems, the emerging paradigm for the Factories of
the Future. Industry 4.0 systems are expected to revolutionise the entire
manufacturing process. They will be entirely data-driven, thanks to tight
integration with IoT and data analytics tools. Data will be dynamically
generated, analysed on the fly, and shared across the various actors and
enterprises in the production value chains and between producers and
consumers.

Successful candidates will be supervised by Dr. Andrea Passarella, and the
activities will be carried out in the H2020 FoF AUTOWARE European
Project, expected to start in September 2016.

The post-doc will work on these topics (in the framework of AUTOWARE)
(i)   fog computing solutions applied to industry 4.0 environments;
(ii)  design of data management and analysis on mobile edge networks;
(iii) optimisation of data management and communication in industry 4.0
      environments.
Both protocol design/evaluation and theoretical approaches are expected to be
applied.

Candidate profile
-----------------
Ideal candidates should have or about to obtain a Phd in Computer Science,
Computer Engineering, or closely related disciplines, and a proven track record
of publications in relevant top-tier conferences and journals. Preferably, the
topic of the PhD should have been in one of the relevant research areas (IoT,
mobile networking and computing, cloud computing, BigData management and
analysis). Good written and spoken communication skills in English are required.






Research group
--------------
The Post-doc will be in the Ubiquitous Internet group of IIT-CNR in Pisa, Italy
(http://cnd.iit.cnr.it). UI activities range over multiple topics related to the
design and analysis of Future Internet networking and computing systems,
including data-centric networks, mobile computing, online/mobile social
networks, self-organising networks, hybrid wireless/wired networking and
computing. The UI group has a strong track record of successful activities in
European projects, from FP6 to H2020, which is reflected in the many
international collaborations in EU and USA activated by the researchers of the
group.



Application procedure
---------------------
Applications should consist of (all documents in English):
- a complete CV
- a 1-page research statement showing motivation, understanding and knowledge
  on the topic of the position
- up to 3 contacts persons that could act as references, if needed

The applications and any request of information should be sent to:
[log in to unmask], with subject, respectively:
"Post-doc application: Online Social Network Analysis", or
"Post-doc application: Fog/Edge computing in IoT".

Applications will be continuously evaluated upon reception.
Interviews will be organised with selected candidates.
Applications will be considered until the position is filled, up until the end of
August 2016.


Contact point
-------------
For any additional information or clarification, please send a message to
[log in to unmask]


--  
Andrea Passarella 
-- 
Institute for Informatics and Telematics (IIT) 
National Research Council (CNR) 
Via G. Moruzzi, 1 voice: +39 050 315 3269 
56124 Pisa, Italy fax: +39 050 315 2593 
@/sip: [log in to unmask] mobile: +39 346 0082 540 
http://cnd.iit.cnr.it/andrea 

========================================================================
Just Published! 
V. Arnaboldi, A. Passarella, M. Conti, R.I.M. Dunbar 
Online Social Networks: Human Cognitive Constraints in Facebook and Twitter Personal Graphs 
Elsevier, October 2015 
http://store.elsevier.com/Online-Social-Networks/Valerio-Arnaboldi/isbn-9780128030233/  

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.