PhD positions are available for research in the following areas:
* non-linear component extraction
* learning in visual object memories
* visual object recognition
User Review( votes)
In any of the projects above we are offering positions for qualified
post-graduate students. Applicants should have a Master degree (or
equivalent) in Physics, Mathematics, Computer Science, Electrical
Engineering or Machine Learning. Strong analytical skills and
programming experiences are required for all projects. 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 projects will be defined depending on the applicants’
background knowledge and research interests. The offered positions are
fully funded research positions with no or a limited amount of teaching
activities. We offer competitive salaries in the range of the
German BAT IIa level.
Research is carried out within the German Bernstein Network for
Computational Neuroscience (funded by the BMBF) and in collaboration
with the Honda Research Institute Europe (HRI Europe). Successful
applicants will work in international and interdisciplinary research
groups at the Frankfurt Institute for Advanced Studies (FIAS),
Goethe-Universität Frankfurt, Germany.
Funding is planned to start in October 2008. The positions will be
filled as soon as suitable candidates are found.
For further information see:
The review of applications will begin immediately.
Required application materials:
* a complete scientific curriculum vitae
* a copy of Master or Diploma certificate
* a short statement of research interests and achievements
* letters of reference (can also be provided at a later stage of the selection process)
* if possible provide a proof of proficiency in English (e.g., TOEFL or similar)
Please send electronic files and scanned-in versions of documents.
Files should be compiled into a ZIP archive.