JOB : 2 Open PhD Positions - Univ of Heidelberg - GER
Vision List Digest:
Article 13,
Volume 28, Issue 1
From: ommer@eecs.berkeley.edu
Post-Followup: submission@VISLIST.com
2 Open PhD Positions in Computer Vision at the University of Heidelberg
The newly established research group at the Heidelberg Collaboratory
for Image Processing (HCI) headed by Prof. Björn Ommer has an opening
for two fully-funded PhD positions in the field of Computer Vision. We
are seeking applicants with a strong interest in performing cutting
edge research in a very active and exciting research area. We work in
the attractive surroundings of the HCI which is part of the
Interdisciplinary Center for Scientific Computing (IWR) at the
University of Heidelberg and we are integrated within and receive
funding from the interdisciplinary research area Transcultural Studies
in the Humanities.
The two open positions are situated within the group's core research
area of Visual Object Recognition and provide stimulating
opportunities for fundamental research as well as interdisciplinary
and industry related research. The salary will be TV-L13 3/4 with
adequate supervision and support to enable completion of the thesis
within 3 years. The topics for the two PhD theses are as follows: -
Shape-based recognition and segmentation of objects: Rather than
understanding images at the level of individual pixels or based on
features computed in rigid image patches, this project aims at
modeling the flexible shape of natural object categories. Object shape
provides a powerful cue that is necessary to model the diversities of
natural object categories and thereby enables automatic scene
understanding. - Object and action recognition in videos: The large
amounts of video data that are acquired everyday demand tools for
automatic video analysis that allow a user to efficiently search and
index video databases by their visual content rather than through
manual annotations. Object recognition, human action classification,
and the analysis of interactions between objects in a scene are
important prerequisites for computer-based video understanding. Both
projects offer possibilities for and benefit from ongoing
interdisciplinary research collaborations in the humanities (analysis
of novel image databases) and in the life sciences (biomedical image
analysis).
Ideal candidates will have an excellent degree (Diploma, M.Sc. or
equivalent) in Computer Science, Electrical Engineering, Mathematics,
Physics, or a related field. They will have a strong mathematical
background, solid programming experience in C++ and Matlab, and above
all a strong motivation and desire to learn. Prior experience in the
areas of computer vision, machine learning, and graphics are a plus.
Fluency in English is required (both written and spoken) and the
candidate should be motivated to assist in teaching.
If you are interested in joining a young and dynamic group to pursue
exciting research that has impact within and beyond your direct field
of research then please send your complete application (including
motivation letter, curriculum vitae, score records, and if available, a
recommendation letter or names of two academic references) until April
30, 2009 by Email. The screening process will already start before this
deadline, so early submissions are strongly encouraged.
mailto:ommer@eecs.berkeley.edu
Prof. Dr. Björn Ommer
Heidelberg Collaboratory for Image Processing (HCI)
Universität Heidelberg
Speyerer Straße 4
D-69115 Heidelberg, Germany
Web: http://www.cs.berkeley.edu/~ommer/
http://www.vislist.com