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 Three-year PhD in Cognitive-Computational Neuroscience at University College London

Four-year PhD Doctoral Fellow positions in Computational Psychiatry and Ageing at UCL

The International Max Planck Research School on Computational Methods in Psychiatry and Ageing Research (IMPRS COMP2PSYCH) seeks applicants for four-year PhD Fellow positions to be based at the Max Planck UCL Centre for Computational Psychiatry and Ageing, London.

The IMPRS COMP2PSYCH is an international doctoral program of the Max Planck UCL Centre for Computational Psychiatry and Ageing Research, with sites in London and Berlin. The participating institutions are the Max Planck Institute for Human Development, the Humboldt-Universität zu Berlin, and University College London. The goal of IMPRS COMP2PSYCH is to learn, apply, and develop computational and statistical methods that foster our understanding of individual development from childhood to old age, with an emphasis on mental illness and healthy cognitive ageing.

The IMPRS COMP2PSYCH is strongly interdisciplinary and invites applications from graduate students with a background in applied mathematics, computer science, cognitive neuroscience, psychiatry, or psychology. The program offers unique training in concepts and methods from computer science and statistics in relation to substantive research questions in psychiatry and lifespan psychology. The training program involves seminars, methods workshops, participation in summer schools, and collaborative supervision of research training.

The main focus of the London site is to apply cognitive and theoretical neuroscience methods to understand the computation and neural basis of mental illness, as well as to understand changes in cognition that occur as a function of ageing. Methods include neuroimaging, computational modelling of behaviour and brain, and large-scale behavioural and neural data collection. Students will have a primary supervisor within the Centre. Current UCL faculty include Ray Dolan, Quentin Huys, Steve Fleming, Tobias Hauser, Tali Sharot and Elliott Wimmer.

We offer a generous four-year studentship stipend of £24,000 (tax-free) per year, PhD registration fees, research expenses, and funds for travel to conferences or courses. Students will participate in international summer schools, seminars and workshops, and have the opportunity to conduct a research project of up to 6 months in Berlin. UCL is committed to employing more people with disabilities and especially encourages them to apply. UCL also seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.

Requirements

Applicants should hold, or anticipate receiving very soon as shown in supporting documents, a bachelor’s degree (minimum level 2:1) a master’s degree, diploma or equivalent in one of the relevant fields mentioned above.

Application

Please send:

  1. A CV
  2. A statement of why you want to do the PhD (no more than 1 page)
  3. A copy of your strongest piece of academic work (e.g., thesis, publication).

Please also arrange for two reference letters to be sent to us by referees. Your surname should be the first word in the subject line of these emails. The statement should indicate which of the named supervisors you would be most interested in having as a primary supervisor (multiple faculty can be listed as potential supervisors).

Please ensure that your surname is the first word in the subject line of the email and that all documents are clearly labelled with your surname and the type of document. All documents and references should be sent to MaxPlanckPhD@ucl.ac.uk by 20 February 2022 at midnight. Questions about the programme can be directed to MaxPlanckPhD@ucl.ac.uk.

Deadline: February 20, 2022

Interviews will be conducted in April and decisions about admissions are scheduled for the end of April 2022. Students admitted to the programme will start in October 2022.

* Letters of recommendation can be emailed separately by referees by February 20, 2022.

Three-year PhD in Cognitive-Computational Neuroscience at University College London

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