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PhD Research Project

Computational modelling of human perception, learning and decision making


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School of Psychology
Dr U Beierholm
Applications accepted all year round
Awaiting Funding Decision/Possible External Funding

How do we as human beings perform rational choices in a complex and uncertain world? Our lab uses computational models to analyse human choices in both simple perceptual tasks ('where did you see the flash of light') as well as high-level cognitive tasks ('which gamble should you take to maximise your chances of making money'). With a starting point in basic economic theory we use statistical (Bayesian) and Reinforcement Learning to understand decision making through both theory and experiments.

The lab is part of the new Centre for Computational Neuroscience and Cognitive Robotics (CNCR) within the School of Psychology at University of Birmingham.
http://www.birmingham.ac.uk/research/activity/cncr/index.aspx

The School of Psychology is one of the largest and most active psychology
departments in Britain. We have an excellent reputation for teaching and
research with around 800 students studying a wide range of undergraduate,
postgraduate and research programmes. The School ranked 3rd in the UK in the
recent Research Assessment Exercise, and over £8 million of research grants
and contracts are currently held. We are also a major partner in the recently
opened Birmingham University Imaging Centre.
Refer here for details on postgraduate life at the University of Birmingham
http://www.birmingham.ac.uk/schools/psychology/study-here/postgraduate/index.aspx


Funding Notes:

There will be some highly competitive funding available for the coming year, but if you have funding from other sources (e.g. through external grants), or have ideas for applications for external funding feel free to contact us.


References:

For references and more see:
http://beierholm.net
and
https://sites.google.com/site/beierh/




How good is research at University of Birmingham in Psychology, Psychiatry and Neuroscience?

FTE Category A staff submitted: 40.80

Research output data provided by the Research Excellence Framework (REF)

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