The Vienna Graduate School in Computational Optimization offers Prae-Doc contracts for PhD candidates in different areas of optimization such as Combinatorial Optimization, Global Optimization, Heuristic Optimization, Nonlinear Optimization, Stochastic Optimization, Dynamic Optimization, Algorithmic Game Theory, Optimization for intelligent Data Analysis.

The doctoral program is a joint initiative between the University of Vienna, TU Wien, and the Institute of Science and Technology. Candidates must follow the rules for PhD studies at one of the aforementioned institutions and participate in the joint teaching and research program.

The program starts on October 1, 2016. Applications should be sent by email to vgsco@univie.ac.at, the deadline for applications is May 31, 2016.

For a successful application, the following is required:
Applicants must have a Master Degree in Mathematics, Statistics, Computer Science or in a related field with a strong mathematical background.

• The diploma thesis and other publications have to be included in the application.
• A minimum of two recommendation letters is mandatory.
• Fluent skills in English language have to be proven.
• A motivation letter should express the candidate's visions and expectations, the area of interest and a possible supervisor, see faculty members at http://vgsco.univie.ac.at.
• For a possible interview, the skype address should be provided.

More information can be found on our website http://vgsco.univie.ac.at
For further information in particular with respect to the fields of combinatorial optimization, mathematical programming and (meta-)heuristics, you might contact Prof. Günther Raidl raidl@ac.tuwien.ac.at.

The contract duration is 3 years, extendable to 3,5 years if the candidate stays one semester abroad (outside of Austria). The gross salary is EUR 35.900 per annum.

As part of the university we pursue a non-discriminatory employment policy and values equal opportunities, as well as diversity (http://diversity.univie.ac.at). The university lays special emphasis on increasing the number of women in senior and in academic positions. Given equal qualifications, preference will be given to female applicants.