A postdoctoral position is available to join the team for the project
Nonlinear interactions and information transfer in complex systems with extreme events
led by Milan Palus (www.cs.cas.cz/mp).
The research will be oriented to causality (mainly using tools from information theory) in complex systems with extreme events/ heavy tailed distributions, with applications in climate research.
The candidates should have obtained their PhD after December 2013 (maternity, parental and sick leave can be taken into consideration) in computer science, mathematical or physical sciences with background in one or more of the following areas: applied information theory (estimation of information-theoretic functionals from real data), nonlinear dynamics and time series analysis, Earth and climate science (experience with large instrumental and model datasets).
The position is full-time from February 1, 2019 (starting date is negotiable) until January 31, 2020 with possible extension until December 31, 2021.
Gross salary is 36000 – 40000 CZK/month (see https://www.numbeo.com/cost-of-living/comparison.jsp). There are no teaching duties and there is support for travel. The position is in the beautiful city of Prague at the Institute of Computer Science of the Czech Academy of Sciences.
For more information contact the main investigator Milan Palus, firstname.lastname@example.org.
Please send your application with your CV, a proof of education, to email@example.com and arrange for two reference letters to the same address. The closing date is January 20, 2019, or until the position is filled.
|Keywords||time series; causality; information theory; complex systems; climate; extreme events;|
Please, provide the email you used to register and your password to log in.
If you had an account on the old website and this is your first login, just click "Recover password" below to go to the password reset page.Recover passwordNot yet registered? Sign up
Please, provide the email you used to register. We will send an email to that address with a link that will take you to the reset password page. After resetting your password you will be automatically logged in to the system.
If you had an account on the old website, please provide the email you used to register there. After resetting your password you will be automatically signed in to the system.Already have an account? Log in