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

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
Both protocol design/evaluation and theoretical approaches are expected to be




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.

Educational level:

Ph. D.

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