Complex Systems Disentanglement through Data Analysis

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New: Ph.D. positions in the Complex Systems Disentanglement through Data Analysis IRTG

University of Bucharest announces 6 doctoral positions for the September competition at the Complex Systems Disentanglement through Data Analysis Interdisciplinary Research Training Group (IRTG), at the Interdisciplinary School of Doctoral Studies.

Candidates are expected to choose one of the following fields of study:
Geography, Mathematics, Physics, Sociology.

After the successful defence of their thesis, students will obtain the doctoral title in the particular field they have been registered and a Certificate highlighting their interdisciplinary achievements, inside the IRTG. During their doctoral studies, students will be guided by their supervisor and by a committee including specialists from different fields of study, they will have the opportunity to interact with their colleagues and with the professors who are part of the IRTG and will gain access to research resources.

Romanian and EU citizen can apply for state-funded doctoral positions and scholarships. For non-EU candidates, the study fee is 3,400 Euro/year. Starting with the 2nd semester of the first year, the University of Bucharest will provide for the fee-paying doctoral students merit-based support schemes (partial fee exemptions, scholarships, paid positions in research projects etc.).

Candidates are expected to demonstrate a strong background in their main field of study and an open view related to scientific problems from other fields.

Prospective candidates are advised to choose their field of study and contact in advance one of the members of the IRTG from the list below as potential supervisor and promoter of their research theme:

Applications Deadline: September 12, 2020

Complex Systems Disentanglement through Data Analysis

short description of the IRTG

A big challenge across many scientific disciplines is the understanding of the dynamics of very complex systems such as the human brain, the Earth, the global economy, the social system along with its components (e.g. history, culture, politics).

A huge amount of experimental data reflecting the largely unknown dynamics of these systems was generated in the last years and a large part of it is available in open access databases. At the same time, new data analyzing methods were proposed in the last years in order to understand the properties of the studied systems. One of the advantages provided by these methods is that they could be applied to any type of data, regardless how they are derived (direct measurements, indirect methods, pols, etc.) and what system they are describing. This implies that these methods might have applications across many scientific disciplines, like, Geography, Geology, Economics, Sociology, Psychology, Mathematics, Physics. Consequently, the huge amount of experimental data available and the new analysis methods, provides a tremendously scientific opportunity to investigate complex systems through interdisciplinary collaborations.

The Complex Systems Disentanglement through Data Analysis group provides the rare opportunity for the Ph.D. students to approach complex scientific problems in a multidisciplinary environment, under the guidance of experienced researchers from different disciplines.

Eligibility conditions and other information are available here

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