[Comp-neuro] postdoc position with Jon Roiser at UCL

A post-doctoral research associate position in computational psychiatry
is available in the laboratory of Dr Jonathan Roiser at the UCL Institute
of Cognitive Neuroscience. See
http://www.icn.ucl.ac.uk/Vacancies/index.html for further
details.

Deadline 12th December 2013.

JOB DESCRIPTION

Post-doctoral research associate (Salary £32,375 to £39,132 including
London Allowance)

Main Purpose

The post-holder will be expected to carry out research in the area of
cognitive neuroscience, including neuroimaging and computational
modelling. The post-holder will be responsible for the design and
conduct of behavioural, functional neuroimaging and other cognitive
neuroscience experiments with humans (including depressed individuals),
recording and analysing data and preparing the results for publication.

Summary of Duties and Responsibilities
To design, set up and conduct experiments in consultation with
the Principal Investigator, ensuring the acquisition of good quality
data, including the recruitment and testing of participants

To oversee the work of a post-graduate research assistant

To record, analyse and write up the results of experiments,
maintaining a permanent record of the methodologies and the experiment

To prepare and present findings of research activity to
colleagues

To contribute to the writing, submission and revision of papers
to be submitted to appropriate peer reviewed journals, collaborating
with others as appropriate

SUMMARY OF PERSONAL SPECIFICATION

PhD (in the process of submission) in computational neuroscience
or mathematical psychology; or PhD (in the process of submission) in
neuroscience/cognitive neuroscience with considerable experience
applying computational modelling techniques to data

Extensive experience using Matlab, R or comparable software
packages

Considerable knowledge of data analysis using computational
modelling and associated literature

Good knowledge of cognitive neuroscience findings in the field
of reinforcement learning
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