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The goal of the PhD program is to give the candidates a comprehensive education in many aspects of optimization including modeling, theory and implementation. Each candidate will have two supervisors (in some cases we may include additional co-supervisors) from the participating scientists, including the associated faculty. In the regular research seminar organized by the supervisors the collegiates inform about their most recent research and propose synergies with other faculty members. The attendance to these seminars as well as to the end-of-semester conferences is compulsory for all collegiates. 

It is intended to cover by the research topics the broad scope of Theory-Algorithms-Applications. In addition to the main scientific goals, other skills will be trained such as efficient literature search, writing scientific papers, presentation of results, the transformation of mathematical ideas into working algorithms, understanding the peculiar problems of application areas and putting them into a mathematical formulation.

In addition, the collegiates will be exposed to teaching activities at the respective institutions, mostly for exercises at the undergraduate level (e.g. 2 hours per week so that the main scientific work is not affected by the teaching effort).  We strongly believe that the teaching experience will help the collegiates in their future career. However, since the teaching budget comes from the respective universities, the ultimate decision on teaching depends on the corresponding decision makers at the local institutions. 

Institut für Statistik und Operations Research
University of Vienna

Oskar-Morgenstern-Platz 1
1090 Vienna, Austria

T: +43-1-4277-386 31
Universität Wien | Universitätsring 1 | 1010 Wien | T +43-1-4277-0