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International Max Planck Research School COMP2PSYCH

The International Max Planck Research School on Computational Methods in Psychiatry and Ageing Research (IMPRS COMP2PSYCH) teaches and trains concepts and methods from computer science and statistics in relation to substantive research questions in psychiatry and lifespan psychology. In close collaboration with the Max Planck UCL Centre for Computational Psychiatry and Ageing Research, it gives pre-doctoral fellows the opportunity 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. Its overarching objective is to equip pre-doctoral researchers with computational and statistical methods that permit them to describe, explain, and predict individual development and psychopathological manifestations at neural and behavioural levels of analysis.

Fellows of the IMPRS COMP2PSYCH

Fellows of the IMPRS COMP2PSYCH
© Max-Planck-Institut für Bildungsforschung

front row, L-R: Manuel Arnold, Julian Kosciessa, Alexandra Hopkins, Samuel Ereira, Rachel Bedder
back row, L-R: Max Rollwage, Yunzhe Liu, Lennart Wittkuhn, Benjamin Chew, Simon Ciranka

Four-year PhD in Computational Psychiatry at University College London

The International Max Planck Research School on Computational Methods in Psychiatry and Ageing Researchseeks applicants for PhD fellowships to be based at University College London (UCL). The PhD programme is strongly interdisciplinary and invites applications from potential students with a broad range of backgrounds including, but not limited to, neuroscience, mathematics, statistics, machine learning, computer science, physics, psychology, and medicine.

The main focus of the London site is to address cognitive and theoretical neuroscience questions relevant to understanding psychiatric disorders. Methods include neuroimaging and pharmacology, computational modelling of behaviour (learning, decision-making, emotion), and large-scale smartphone- and internet-based data collection. Students will have a primary supervisor within the Centre and possible supervisors include Tobias Hauser and Quentin Huys. Collaboration is encouraged within the Centre and with other UCL departments including the Wellcome Centre for Human Neuroimagingand Gatsby Computational Neuroscience Unit.

Deadline: 26 August 2018. Shortlisted candidates will be interviewed in early September 2018 via Skype.

Please see full details here.

Curriculum

The scientific curriculum of the IMPRS COMP2PSYCH consists of four modules that will be taught in an integrated fashion:

Module 1: Key Research Questions in Psychiatry, Lifespan Psychology, and Decision Science

Module 2: Foundations of Computing

Module 3: Research Design and Data Analysis

Module 4: Empirical Applications of Advanced Computational Methods