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

Peter Dayan dayan at gatsby.ucl.ac.uk
Mon Nov 18 17:25:31 CET 2013

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

Deadline 12th December 2013.


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

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


 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

 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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