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Position: Senior Research Fellow in Cognitive Science (two posts)
Institution: University College London
Department: UCL Queen Square Institute of Neurology - Wellcome Centre for Human Neuroimaging: Max Planck UCL Centre for Computational Psychiatry and Ageing Research
Location: London, United Kingdom
Duties: Applications are invited for two Senior Research Fellows in the Max Planck UCL Centre for Computational Psychiatry and Ageing Research, under the supervision of Professor Ray Dolan. The Max Planck UCL Centre for Computational Psychiatry and Ageing Research is dedicated to studying the causes of psychiatric disorders as well as the causes of individual differences in cognitive development. Computational models of differences and changes in brain-behaviour relations are the Centre's major theoretical tool. The Centre's findings will provide information on how cognitive functioning can be maintained into old age and how psychiatric disorders can be better recognized and treated more efficiently; The post holders will undertake high quality research on cognitive-computational control of motivational behaviour and in particular its breakdown in affective disorders. The focus in the current project will be applying computational models to behavioural data to quantify cognitive characteristics of patients with depression. The appointees'role wil be to design and conduct behavioural and neuroimaging studies that address key questions related to depression. Because of the nature of the work, a DBS check will be required for the post; The posts are available from autumn 2020 and are funded for one year or the period to November 2021, whichever is the shorter, in the first instance by a grant from the Wellcome Trust
Requirements: Applicants must have a PhD or equivalent in computer science, behavioural neuroscience, computational neuroscience, or similar, and experience with computational modelling of behavioural data and human neuroimaging, acquiring and analysing fMRI, MEG and EEG data, and programming (primarily Matlab, though skills in R and Java are desirable). Experience of supervising or co-supervising students and of obtaining research funding is essential. Excellent oral and written communication and good inter-personal skills, and a high level of consideration and care for research subjects, are also required
   
Text: Senior Research Fellow in Cognitive Science (two posts), - Ref:1872006 Click here to go back to search results Apply Now UCL Department / Division UCL Queen Square Institute of Neurology Specific unit / Sub department Wellcome Centre for Human Neuroimaging: Max Planck UCL Centre for Computational Psychiatry and Ageing Research Location of position London Grade 8 Hours Full Time Salary (inclusive of London allowance) £44,674 - £52,701 per annum Duties and Responsibilities Applications are invited for two Senior Research Fellows in the Max Planck UCL Centre for Computational Psychiatry and Ageing Research, under the supervision of Professor Ray Dolan. The Max Planck UCL Centre for Computational Psychiatry and Ageing Research is dedicated to studying the causes of psychiatric disorders as well as the causes of individual differences in cognitive development. Computational models of differences and changes in brain-behaviour relations are the Centre's major theoretical tool. The Centre's findings will provide information on how cognitive functioning can be maintained into old age and how psychiatric disorders can be better recognized and treated more efficiently. The post holders will undertake high quality research on cognitive-computational control of motivational behaviour and in particular its breakdown in affective disorders. The focus in the current project will be applying computational models to behavioural data to quantify cognitive characteristics of patients with depression. The appointees' role wil be to design and conduct behavioural and neuroimaging studies that address key questions related to depression. Because of the nature of the work, a DBS check will be required for the post. The posts are available from autumn 2020 and are funded for one year or the period to November 2021, whichever is the shorter, in the first instance by a grant from the Wellcome Trust. Key Requirements Applicants must have a PhD or equivalent in computer science, behavioural neuroscience, computational neuroscience, or similar, and experience with computational modelling of behavioural data and human neuroimaging, acquiring and analysing fMRI, MEG and EEG data, and programming (primarily Matlab, though skills in R and Java are desirable). Experience of supervising or co-supervising students and of obtaining research funding is essential. Excellent oral and written communication and good inter-personal skills, and a high level of consideration and care for research subjects, are also required. Further Details A Job Description and Person Specification can be accessed at the bottom of this page. To apply for the vacancy, please click on the 'Apply Now' button below. If you have any queries regarding the application process, please contact Miss E Bertram, HR Manager, UCL Queen Square Institute of Neurology (email: IoN.HRAdmin@ucl.ac.uk). It would be helpful if applicants could provide a telephone number that they can be contacted on during office hours. Applicants may contact Professor Ray Dolan directly (email: r.dolan@ucl.ac.uk) for further information. UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 14 Oct 2020 Latest time for the submission of applications 23.59 Interview date TBC Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. Any offer of employment will be subject to a Disclosure and Barring Service (DBS) check. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job Description Apply Now
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