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Position: Research Fellow - Computational Psychiatry and Ageing
Institution: University College London
Department: Institute of Neurology
Location: London, United Kingdom
Duties: At the Max Planck UCL Centre we are seeking multiple suitably qualified postdoctoral fellows for a new initiative with Telefonica Innovacion Alpha. The overarching goal is to exploit computational approaches to brain and behaviour to leverage insights into core deficits that underpin behavioural change and mental well-being. The post holder(s) will be directly involved in tech-transfer of the research results achieving an immediate real-world impact and improving mental health of the general population
Requirements: PhD in neuroscience, psychology, or a quantitative field (eg, Computer Science, Engineering, Physics). Expertise using computational approaches in the study of reinforcement learning and decision making, or with machine learning techniques, and knowledge of theoretical and computational neuroscience in relation to learning and decision making are essential. Strong mathematical and programming skills, excellent organisational, interpersonal and communication skills, and a high level of consideration and care for patients and research subjects are also required
   
Text: Research Fellow(s), - Ref:1803769 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 Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) ?35,328 - ?42,701 per annum Duties and Responsibilities At the Max Planck UCL Centre we are seeking multiple suitably qualified postdoctoral fellows for a new initiative with Telefonica Innovacion Alpha. The overarching goal is to exploit computational approaches to brain and behaviour to leverage insights into core deficits that underpin behavioural change and mental well-being. The post holder(s) will be directly involved in tech-transfer of the research results achieving an immediate real-world impact and improving mental health of the general population. Supervision will be provided by Ray Dolan, Steve Fleming, Tobias Hauser, Quentin Huys, and Robb Rutledge. The posts are available from autumn 2019 and are funded for two years in the first instance through a research contract. Key Requirements Applicants must have, or be close to obtaining, a PhD in neuroscience, psychology, or a quantitative field (eg, Computer Science, Engineering, Physics). Expertise using computational approaches in the study of reinforcement learning and decision making, or with machine learning techniques, and knowledge of theoretical and computational neuroscience in relation to learning and decision making are essential. Strong mathematical and programming skills, excellent organisational, interpersonal and communication skills, and a high level of consideration and care for patients and research subjects are also required. Experience in fMRI and/or MEG, in smartphone-based data acquisition, and in collaborating with industry and start-ups and/or in supporting tech-transfer is desirable. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary ?30,922 - ?32,607 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. The final accepted version of the thesis must have been submitted to the degree-granting university by the start-date in post. 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 vacancy or 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 on which they can be contacted during office hours. Applicants may also 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 2 Jun 2019 Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. 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 and Person Specification Apply Now
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