[Comp-neuro] Postdoctoral position on modelling and neural analysis of flexible perceptual decision-making at IDIBAPS / UPF (Barcelona)
alexandre.hyafil at gmail.com
Thu Apr 13 18:05:09 CEST 2017
A postdoctoral research position in computational neuroscience is available
to work with Jaime de la Rocha at IDIBAPS (Barcelona) and Alexandre Hyafil
at the Universitat Pompeu Fabra (Barcelona). The postdoctoral fellow will
be a vital member of the interdisciplinary research team led by Jaime de la
Rocha that studies perception and cognition using combined theoretical and
experimental approaches. More specifically, the fellow's work will be part
of an ERC-funded project aiming to unravel the behavioural principles and
the neural mechanisms underlying how recent experience shapes perception
and guides decisions. The fellow will (1) characterize the behavioural
influence of recent history onto perceptual choices in rats and humans
performing acoustic discrimination tasks, (2) analyze population recordings
from cortical neurons obtained from rats to uncover the traces of recent
history decision biases and (3) build dynamical models of behaviour based
on the population recordings using a variety of machine learning tools.
Behavioural and neural data is currently being acquired by other
researchers in the lab.
The work will be co-supervised between Jaime de la Rocha, head of the
Cortical Circuit Dynamics Group (http://neuro.fcrb.es/delaRochaLab/) and
Alexandre Hyafil who is establishing his new laboratory in the nearby UPF,
and has in the last years develop a set analysis techniques fitted for our
data. Both groups are part of the vibrant computational neuroscience
community of Barcelona, which promotes the interaction among groups by
organizing multiple internal activities.
Applicants should have a strong background in computational neuroscience or
applied mathematics and have a keen interest in interdisciplinary
approaches that integrate modeling and experimental research. Programming
proficiency (Matlab and/or Python) is required. Experience in machine
learning methods, advanced statistics as well as nonlinear dynamical
systems will be valued. Ability to collaborate in a pluridisciplinary team
is essential. Initial appointment for this position is for two years. The
salary is competitive and negotiable depending on the candidate's
Review of applications will begin immediately and will continue until the
position is filled. Applicants, please send a resume, names and contact of
3 references and a cover letter explaining your interest and research
experience to jrochav at clinic.cat and alexandre.hyafil at gmail.com.
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