Connectionists: PhD position - computational modelling

[Dr. Jane Neumann]

Dear colleagues,

The *Collaborative Research Center *(CRC) 1052 "Obesity mechanisms" at 
the Leipzig University Hospital is offering a *PhD studentship in 
computational modelling* under the supervision of Dr Jane Neumann and Dr 
Annette Horstmann. Within the project, computational modelling will be 
used to investigate decision-making and learning in humans by combining 
genetic, behavioural and magnetic resonance imaging (MRI) data from 
different modalities.

The PhD position will be based at the *Max Planck Institute for Human 
Cognitive and Brain Sciences* in the beautiful city of *Leipzig*. Both 
Leipzig's long tradition in conducting neuroscientific research and the 
ultra-modern equipment at the Institute provide an environment that 
offers new perspectives in neuroimaging research. Further, the position 
will be part of the CRCs Integrated Research Training Group. This 
graduate program offers interdisciplinary qualification in various 
research methods and transferable skills, and provides support in career 
planning and in establishing an own scientific network.

Applicants should hold a Master's degree (or equivalent) in one of the 
following disciplines: computational or cognitive neuroscience, computer 
science, mathematics, physics, cognitive science or related. Prior 
experience in the field of computational neuroscience and/or 
neuroimaging are of advantage. Sound knowledge of statistics and 
excellent programming skills are essential. A good command of written 
and spoken English is requested of all applicants.

Please send your application as a single pdf-file to 
_neumann at cbs.mpg.de_ referring to 'Modelling SFB 1052'. Complete 
applications include cover letter, CV, letter(s) of recommendation, and 
copies of university degrees and additional certificates.

Informal enquiries should be made to Dr Jane Neumann 
(_neumann at cbs.mpg.de_, +49 (0) 341 99 40 26 21).

The salary is based on the German E 13 TV-L salary scale. In order to 
increase the proportion of female staff members, applications from 
female scientists are particularly encouraged. Disabled applicants are 
preferred if qualification is equal.

Deadline for application: until position is filled

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