{"id":6579,"date":"2014-01-14T00:54:42","date_gmt":"2014-01-14T00:54:42","guid":{"rendered":"http:\/\/africa-and-science.com\/?p=6579"},"modified":"2014-01-17T05:02:23","modified_gmt":"2014-01-17T05:02:23","slug":"10-phd-program-in-high-dimensional-non-stationary-time-series","status":"publish","type":"post","link":"https:\/\/africa-and-science.com\/?p=6579","title":{"rendered":"10 PhD program in \u00ab\u00a0High Dimensional Non Stationary Time Series\u00a0\u00bb"},"content":{"rendered":"

\"\"<\/h3>\n

The International Research Training Group (IRTG) 1792 \u00b4High Dimensional Non Stationary Time Series\u00b4 is a flagship program with extensive funding supported by DFG, linking two top universities and two outstanding faculties. IRTG 1792 offers outstanding young researchers a full-time, internationally competitive PhD program with a unifying research focus and financial support in the form of scholarships.<\/p>\n

The IRTG\u00b4s doctoral framework is based on the unifying research theme \u00b4High Dimensional Non Stationary Time Series\u00b4, and its focus is on identifying low dimensional factors that help to forecast and understand dynamic aspects of possibly non stationary economic data in high dimension. It combines demanding course work and a particularly early start of individual research in the following areas of high dimensionality, non-stationary, time varying dependency and others.<\/p>\n

With its participating faculty, the IRTG represents all major academic institutions of statistics and economics in Berlin and Xiamen: Humboldt- Universit\u00e4t zu Berlin, Xiamen University, Freie Universit\u00e4t Berlin, WIAS, and DIW.
\nApplication period: January 1. up to March 31.<\/p>\n

Full Doctorate<\/strong>
\nyes<\/p>\n

Research Stay<\/strong>
\nyes<\/p>\n

Paid position?<\/strong>
\nyes<\/p>\n

Working Language<\/strong>
\nEnglish<\/p>\n

Language of the Doctoral Thesis<\/strong>
\nEnglish<\/p>\n

Requirements for Applicant<\/h4>\n

Subject Requirements (Qualification)<\/strong>
\nWe are looking for highly qualified and highly motivated PhD students with an M.A. or equivalent degree. The applicants should have a quantitative background, preferably in statistics, economics, mathematics or other related fields. A good knowledge of English is also required.<\/p>\n

For\u00a0more information on requirements<\/strong>\u00a0and\u00a0how to apply<\/strong>\u00a0please refer to:
\nhttp:\/\/irtg1792.hu-berlin.de<\/a><\/p>\n

Type of Persons<\/strong>
\nPhD student<\/p>\n

Compulsory Attachments<\/strong><\/p>\n