[Forum SIS] Big Data & Social Media: PostDoc Position in Statistics, University of Milan, Deadline: 16-Feb-2015.

[stefano iacus]

[Apologizes for cross-posting but please circulate to potential candidates]

The Department of Economics, Management and Quantitative Methods, University of Milan, offers a two years postdoc position in Statistics.

* The research theme of the postdoc is: "Social Well Being Index: integrating big data, social media and official statistics to develop a new social wealth indicator."

This project aims to build an index of subjective well-being based on the analysis of data from Twitter. This SWBI = "Social Well Being Index" makes use of million of opinions expressed every day on Twitter to investigate dynamically the perception of personal well-being and relationships within society. SWBI focuses on "personal" and "social" as well as well-being at "work". The SWBI will be coupled and compared with other wealth indicators, like GDP, to perform cross-country analyses.


* Directors of research: Stefano M. Iacus, Silvia Salini

* Who should apply:
Successful candidate should have a PhD in Statistics, Mathematics, Computer Science or related fields and good knowledge of the R programming language.

* How to apply?
Read the complete call here:
http://www.unimi.it/ricerca/assegni_ricerca/1260.htm
and here
http://www.unimi.it/cataloghi/ass_collaborazione_ricerca/BANDO_tipo_A_2014eng_per_sito_def(2).pdf


* Salary: The postdocs will be employed with a fixed term employment contract at the University of Milan. Gross salary amounts to approximately 21K EUR/year.

* Deadline: 16 February 2015

* PLEASE NOTE: before writing the project's proposal and for further information, please ask by email for the "extended version of the call" to:

Stefano M. Iacus, stefano.iacus at unimi.it
Silvia Salini, silvia.salini at unimi.it







-----------------------------------
Stefano M. Iacus
Director of MEF - Master in Economics & Finance
http://www.mef.unimi.it

Department of Economics,
Management and Quantitative Methods
University of Milan
Via Conservatorio, 7
I-20123 Milan - Italy
Ph.: +39 02 50321 461
Fax: +39 02 50321 505
Twitter: @iacus
http://scholar.google.com/citations?user=JBs9tJ4AAAAJ&hl=en

Master in Economics & Finance
http://www.mef.unimi.it
Twitter: @mefunimi
Facebook: http://www.facebook.com/mefunimi
Email and further informations at: mef at unimi.it


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