Research Assistant - Decision Making

All UK vacanciesAcademic or ResearchResearch Assistant - Decision Making

Psychology,Computer Science,Computer Science

Short info about job

Company: University College London

Department: UCL Institute of Cognitive Neuroscience

Salary: £30,316 to £31,967 per annum, inclusive of London Allowance

Hours: Full Time

Contract type: Fixed-Term/Contract

Type / Role: Academic or Research

Phone: +44-1453 4804290

Fax: +44-1473 3051696

E-mail: N\A

Site:

Detail information about job Research Assistant - Decision Making. Terms and conditions vacancy

Applications are invited for a Research Assistant in the Institute of Cognitive Neuroscience (ICN), UCL as apart of the Decision Making Group, under the supervision of Dr Benedetto De Martino. The Decision-Making Group at the ICN researches the neural computations underpinning the decisions making process across a broad range of domains such as perceptual, economic and social choice. We approach this question by combing computational modelling with experimental economics, psychophysics and brain imaging methods including functional and structural MRI, TMS, M/EEG and eye tracking. The post holder will assist with acquiring and analysing behavioural and neuroimaging data from human subjects undergoing a range of tests to study aspects of decision-making function. This is an exciting opportunity to develop the interface of computational and cognitive neuroscience research into decision making.

The post is available immediately and is funding by a grant from the Wellcome Trust for 1 year in the first instance.     

Applicants should have an Honours Degree (minimum 2:1) in experimental psychology, neuroscience, engineering or computer science and prior experience working with human participants in an experimental or clinical setting. Proficiency in programming in one or more of Python, Matlab, R and/or JavaScript is essential, as is the ability to perform statistical and data visualisation. A broad knowledge of other scientific programming languages, experience with collecting data online (eg via Mechanical Turk), knowledge of cognitive neuroscience technologies such as MRI, M/EEG, TMS and eye tracking and a relevant Masters qualification is desirable.  

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below.

If you have any queries regarding the vacancy or the application process, please contact Lucy Spikesley, [email protected] 

Closing Date: 2 October 2017

Latest time for the submission of applications: 23.59.

Interview Date: TBC

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