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Postdoctoral Fellowship in Complex Systems

This is a call for applicants in the area of Complex Systems under a broader call for Incoming Postdoctoral Fellowship to Institute of Computer Science, Czech Academy of Sciences in Prague, Czech Republic. See below for degails.

The respective project No. CZ.02.2.69/0.0/0.0/18_053/0017594 is co-funded by the EU.

  • The duration of the position is 24 months.
  • Application deadline: 30th September 2020.
  • Starting date: 1st January 2021.
  • This is a full-time fixed term contract appointment, with no teaching duties.
  • Monthly gross salary: based on the qualification 52 000 – 60 000 CZK.
  • Cost Of Living Comparison
  • Yearly travel package up to 36 000 – 100 000 CZK for conferences and research stays.
  • Applicants must:
  • Have obtained a PhD at most 7 years prior to the mobility starting date (1st January 2021). This period may be extended by maternity and parental leave, long-term illness (more than 90 days), care for a family member (more than 90 days), pre-certification training and military service.
  • Fulfill the mobility condition: the applicant must have been research active (at least 0.5 FTE and/or be enrolled in PhD studies program) outside the Czech Republic for at least 2 years in the last 3 years before the Fellowship starting date (1st January 2021).
  • Be fluent in English.
  • The applications must be sent to ics@cs.cas.cz and should contain: Curriculum Vitae including a list of publications.
  • Document(s) proving mobility conditions.
  • Brief description of applicant’s research interests and of the intended research plan highlighting possible cooperation inside the institute.
  • Three letters of recommendation – at most one from the Institute of Computer Science and at most one from the applicant’s current affiliation. The referees should send their recommendations directly to ics@cs.cas.cz.
  • A copy of applicant´s Ph.D. diploma.

CountryCzech Republic
LabCzech Republic
Starts on01/01/2021
Duration/Period24 months
Deadline30/09/2020 0:00
Keywordscomplex networks; brain dynamics; causality; information theory; time series; machine learning; neuroimaging; graph theory;

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