The group of Computational Neuroscience and Machine Learning at the
Frankfurt Institute for Advanced Studies (FIAS) offers a PhD position
for research on computational and theoretical approaches to
unsupervised learning in vision.

The research field is highly dynamic and rapidly expanding. It closely combines theoretical approaches with applications to artificial vision and intelligence, and advances our understanding of brain functions in humans and animals.
Applicants should have a Master degree (or equivalent) in Physics,
Computer Science, Mathematics, Electrical Engineering, or a related
field. Strong analytical skills and sufficient programming experiences
are required. An interest in computational and biological vision as
well as in neuroscience is desirable. We are interested in applicants
with experience in Machine Learning and/or Computer Vision as well as
in applicants who graduated in other areas. Good communication skills
in English are essential.
The concrete PhD project will be defined depending on the applicant’s
background knowledge and research interests. The offered position is a
fully funded research position with a very limited amount of teaching
requirements. We are looking for highly qualified candidates and offer
internationally competitive salaries.
In our research we investigate new advances in modern Bayesian and
dynamic approaches to study computational and neural learning. We aim
at high-profile research, publish in leading journals and conferences
of the field, and offer and encourage collaborations with leading
international research groups.
Please send applications by
March 18, 2010,
to Johanna Dilley . Please follow the application procedure described on:
Applications received after March 18 may not be considered.
After the submission deadline, the position can and will be filled
as soon as a suitable candidate is found.
For further information about the group’s research see:
For further information about neuroscience at the FIAS see:

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