Thesis supervisor: András Telcs
Location of studies (in Hungarian): Wigner RCF Abbreviation of location of studies: BME
Description of the research topic:
The applicant can join to a vivid interdisciplinary team working on a new method which infer causal connection between systems. The applicability of the method is wide, almost all sciences may benefit from it, where time series are coming from observations and causal link between the source systems are in question. The applicant will work on field specific implementation, adaptation and application of the method and meanwhile contribute to the development of the general method.
The host of the research is the Department of Computational Sciences at Wigner Research Center for Physics. The institute and the department is equipped with excellent research infrastructure including library and computer facilities.
The department has strong focus on computational neuroscience and computational physics.
Given the theoretical (probability, information theory and statistics), computational (algorithm design and implementation, scalability), and application side of the research applicants can come with mathematics, physics, informatics, biology and medicine background.
Required language skills: English Further requirements: Good command of statistics and scientific programing is a must.
Number of students who can be accepted: 1
Deadline for application: 2019-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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