[Comp-neuro] PhD position - computational modelling
Dr. Jane Neumann
neumann at cbs.mpg.de
Wed Jan 8 11:34:31 CET 2014
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
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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