Connectionists: Positions: Machine learning in cognitive neuroscience

[Zoe Kourtzi]

2 positions (Post-doctoral fellowship and PhD studentship)  are available to work at the Adaptive Brain Lab, University of Cambridge, UK (http://www.abg.psychol.cam.ac.uk <http://www.abg.psychol.cam.ac.uk/>).

Work in the lab aims to understand how humans of all ages translate sensory experience into complex decisions and adaptive behaviors. 

Projects will focus on machine learning applications in neuroscience. We aim to develop predictive models that synthesise multivariate data (high-field brain imaging and behavior) to understand the mechanisms that mediate individual ability for learning and brain plasticity.

Applicants should have or be close to obtaining a PhD, and have a strong academic track record, in a relevant area (e.g., Neuroscience, Mathematics, Engineering, Computer Science, Physics). Programming skills are essential and experience with computational modeling and/or brain imaging preferable.

Please apply online: 

PhD studentship:
http://www.jobs.cam.ac.uk/job/15753/ <http://www.jobs.cam.ac.uk/job/15753/>
Please direct Informal enquiries to Prof. Zoe Kourtzi (zk240 at cam.ac.uk <mailto:zk240 at cam.ac.uk>)

Post-doctoral fellowship:

http://www.jobs.cam.ac.uk/job/15817/ <http://www.jobs.cam.ac.uk/job/15817/>

Zoe Kourtzi, PhD
Professor of Experimental Psychology
Department of Psychology
University of Cambridge
Downing Street
Cambridge
CB2 3EB

emal: zk240 at cam.ac.uk <mailto:zk240 at cam.ac.uk>
tel: 0044 1223 766558
http://www.abg.psychol.cam.ac.uk <http://www.abg.psychol.cam.ac.uk/>
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