ORGANISATION/COMPANYUniversitat Pompeu Fabra - ETIC
RESEARCHER PROFILERecognised Researcher (R2)
APPLICATION DEADLINE20/08/2020 23:00 - Europe/Athens
LOCATIONSpain › Barcelona
TYPE OF CONTRACTTemporary
HOURS PER WEEK37,5
OFFER STARTING DATE01/09/2020
REFERENCE NUMBERref. BFU2017-85936-P
We are looking for strong post-doctoral candidates interested in joining the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote lab.
We are looking for excellent post-doctoral candidates with Physics, Mathematics or Machine Learning background, ideally with knowledge of Neuroscience or Computational Neuroscience, and interested in theory and applications. The publication record of the candidate should be very strong in his/her respective discipline. The candidate will develop state of the art theory and models of cognition and intelligence by using neural networks, data analysis and multielectrode neural data. The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona.
Financial support is provided by HHMI, ICREA and the Spanish Ministry: The Howard Hughes Medical Institute project (ref. 55008742) and the Spanish Ministry project entitled “DIssecting the factors of the neuronal CODE that affect sensory information and behavior” (ref. BFU2017-85936-P) financed by the State Research Agency (AEI) and the European Regional Development Fund (ERDF).
APPLICATION: A full CV in pdf format, a 1 page-long project in pdf format, and names and email addresses of 2 referees should be sent to the following address:
Informal inquiries are welcome.
DEADLINE: up to the position is filled
STARTING DATE: any time between September 2020 and January 2021
REQUIRED EDUCATION LEVELNeurosciences: PhD or equivalent
EURAXESS offer ID: 483053
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