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
[log in to unmask]
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 (
[log in to unmask],
+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