PhD in Economics, Statistics and Data Science (DEMS) - University of Milano-Bicocca
Dear all, The Department of Economics, Management and Statistics (DEMS) of the University of Milano-Bicocca invites applications to its *PhD Programme in Economics, Statistics and Data Science* for the academic year 2022-23 (XXXVIII cycle). *PhD programme* The PhD Programme is articulated in three curricula: - Economics (ECO), - Statistics (STAT), - Big Data & Analytics for Business (BIDAB). The length of the PhD Programme is *four years*, starting in late October 2022. *Fellowships* We offer at least ten fellowships (for a period of four years) to the highest ranked applicants. Each fellowship pays a grant of a minimum of €16.200 (gross income) per year. The monthly allowance can be increased up to 50% for our PhD students visiting academic or scientific institutions abroad. There will also be allowances (research funds) for short-period mobility (from the first year). Additional scholarships and positions are also available on specific research projects in collaboration with national and international companies of primary importance. *Selection procedure* The selection procedure is regulated by the official Call for Applications (Bando di Concorso), which can be found starting from *April 21st* at the link: https://en.unimib.it/education/doctoral-research-phd-programmes/applying-doc... The official Call for Applications contains detailed information on: i) the documents which each candidate has to submit; ii) structure, contents and timing (approximately during June 2022) of the entrance examination; iii) description of the projects related to the additional scholarships and positions. *Important links* Website of the PhD: https://www.dems.unimib.it/en/research/phd-programme Application procedure: https://en.unimib.it/education/doctoral-research-phd-programmes/applying-doc... Best regards, Federico Camerlenghi -- Federico Camerlenghi Assistant Professor RTDb Department of Economics, Management and Statistics University of Milano Bicocca, Milano, Italy. web-page: https://www.unimib.it/federico-camerlenghi
participants (1)
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Federico Camerlenghi