[Imageworld] Postdoc positions at SUNY Buffalo

Several PostDoc Positions including an IC Postdoctoral Fellowship.

Research Area: Computer vision, machine learning and social media analysis.

Project Description: Applications are invited for several open Postdoctoral
Research Scientist positions at SUNY at Buffalo, Department of
Computer Science and Engineering, in the area of computer vision,
machine learning and
social media analysis. Qualified candidates must have a Ph.D. in
computer vision, machine learning, multimedia or related areas with
outstanding research record and experience. The grant support will be 2,
3, or 4 years. Successful candidates will conduct basic research and
interact with the principal investigator, graduate students, and
collaborators. The Computer Science department at SUNY Buffalo is among
the oldest CS departments nationwide with a strong focus on computer
vision, pattern recognition, smart environments, and machine learning.
See http://www.cse.buffalo.edu/ for more information.

Salary is sufficiently competitive. If you are interested in joining
this research project as a Postdoctoral Fellow, please contact:

Yun (Raymond) Fu, Principal Investigator
Department of Computer Science and Engineering
State University of New York (SUNY) at Buffalo
201 Bell Hall Buffalo, NY 14260-2000, USA
Ph: +1 (716) 645 2670
Email: yunfu@buffalo.edu
Web: http://www.cse.buffalo.edu/~yunfu/
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[Imageworld] Extended Call for Papers: SGA 2011 at ICMI 2011

This is the second call for papers for the 2nd Workshop on Sign,
Gesture and Activity to be held at ICMI 2011.

Important News:

Submission deadline has been extended: Now _August 21_

Invited speaker:
Prof. Carol Neidle (Boston University)

---
Call for papers SGA2011.

The second international workshop on Sign, Gesture and Activity
(SGA2011) will be held as a half-day satellite workshop of ICMI 2011.

The workshop will bring together researchers from vision, learning and
related areas to present and discuss the recognition of
spatio-temporal motion of people across a broad range of application
areas ranging from sign language recognition to gesture and activity.

Sign language recognition has become of increasing interest to the
vision community. In terms of its distinction from gesture, it has
tightly defined rules and grammar which govern its production. Gesture
on the other hand, seeks to operate in the domain of small lexical
recognition without the rules of a language. More general activity
recognition, which has seen
considerable interest of late, often involves the holistic description
of body motion and the context in which it occurs. While related,
these three areas are distinct in both their individual complexities
and the techniques used to tackle them. However, they have one
fundamental thing in common. They are all applications of the
recognition of spatio-temporal motion, and allow for a multimodal
analysis of human behavior, e.g. by simultaneously analyzing audio,
multiple vision cues (hands, face, mouth, body, etc.), and external
knowledge sources, such as statistical language models used natural
language processing!

The list of topics includes (but is not limited to):
# continuous sign language recognition and analysis
# spatio-temporal features
# non-manual features
# human torso tracking and modelling
# hand shape classification
# gesture recognition
# activity and action recognition
# facial expression analysis
# lip reading
# fusion methods for recognition
# non verbal communication
# affective computing
# hand and face tracking
# corpora for training and testing
# semi-automatic corpora annotation tools

Important Dates:

Paper Submission : August 21 2011 24:00 CEST (GMT +2)
Author Notification : September 25 2011
Camera Ready Submission : October 10 2011

Workshop half-day November 18 2011, afternoon, Alicante, Spain
http://www.signspeak.eu/sga2011/ <http://www.signspeak.eu/sga2011/>

The organizing comittee:
Richard Bowden (University of Surrey), Hermann Ney (RWTH Aachen
University), Justus Piater (University of Innsbruck), Jens Forster
(RWTH Aachen University), Petros Maragos (NTUA), Philippe Dreuw (RWTH
Aachen University), Gregorio Martinez (CRIC)
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[Imageworld] Post-doc position for two years available in 3D medical image analyses in Freiburg, Germany

This post at the interface between clinically applied brain imaging
and methods development is funded by the German Research Council
(DFG). The project aims to improve automated diagnosing using cerebral
MRI in the context of neurodegeneration. Pattern recognition methods,
Graph theory and Bayesian learning algorithms will be employed to
integrate multi-modal imaging and clinical data.

The post is based at Freiburg Brain Imaging
(http://www.uniklinik-freiburg.de/fbi/live/groups_en.html) and
initially funded for two years with a possible one year extension.
This facility integrates the research interests of the departments of
Neurology, Psychiatry, Neuroradiology, Neurosurgery and the local
memory clinic. The successful applicant will be working in the group
of Dr. Stefan Klöppel from the department of Psychiatry
(http://www.uniklinik-freiburg.de/fbi/live/members/kloeppel_en.html)
and Prof. Olaf Ronneberger
(http://lmb.informatik.uni-freiburg.de/people/ronneber/) from the
department of Pattern Recognition.

Essential Skills and Qualifications:

- Ph.D. in Electrical Engineering, Computer Science or related discipline.

- Experience in pattern recognition methods, Bayesian statistics and
graph models.

- Good communication skills to work in a multi-professional team.

This position is immediately available and until filled. All qualified
candidates are encouraged to apply.

The application should be sent to Dr. Stefan Klöppel
(stefan.kloeppel[at]uniklinik-freiburg.de) or Prof. Olaf Ronneberger
(ronneber[at]informatik.uni-freiburg.de) by email. Please feel free to
contact us if you have any questions.

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[Imageworld] Post-doc position for two years available in 3D medical image analyses in Freiburg, Germany

This post at the interface between clinically applied brain imaging
and methods development is funded by the German Research Council
(DFG). The project aims to improve automated diagnosing using cerebral
MRI in the context of neurodegeneration. Pattern recognition methods,
Graph theory and Bayesian learning algorithms will be employed to
integrate multi-modal imaging and clinical data.

The post is based at Freiburg Brain Imaging
(http://www.uniklinik-freiburg.de/fbi/live/groups_en.html) and
initially funded for two years with a possible one year extension.
This facility integrates the research interests of the departments of
Neurology, Psychiatry, Neuroradiology, Neurosurgery and the local
memory clinic. The successful applicant will be working in the group
of Dr. Stefan Klöppel from the department of Psychiatry
(http://www.uniklinik-freiburg.de/fbi/live/members/kloeppel_en.html)
and Prof. Olaf Ronneberger
(http://lmb.informatik.uni-freiburg.de/people/ronneber/) from the
department of Pattern Recognition.

Essential Skills and Qualifications:

- Ph.D. in Electrical Engineering, Computer Science or related discipline.

- Experience in pattern recognition methods, Bayesian statistics and
graph models.

- Good communication skills to work in a multi-professional team.

This position is immediately available and until filled. All qualified
candidates are encouraged to apply.

The application should be sent to Dr. Stefan Klöppel
(stefan.kloeppel[at]uniklinik-freiburg.de) or Prof. Olaf Ronneberger
(ronneber[at]informatik.uni-freiburg.de) by email. Please feel free to
contact us if you have any questions.

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[Imageworld] 1 postdoc and 1 R&D engineer position in Lyon, France

The CREATIS laboratory of the University of Lyon, France
(www.creatis.insa-lyon.fr/), in collaboration with the Université
Catholique de Louvain and an industrial partner, is opening 2
positions, 1 postdoc and 1 engineer. The goal of the project is to
improve image quality in cone-beam computed tomography (CT) for
image-guided radiotherapy (IGRT).

The postdoc will be in charge of the simulation of cone-beam CT:
http://www.creatis.insa-lyon.fr/site/en/node/43181

The engineer will develop a cone-beam reconstruction toolkit:
https://www.creatis.insa-lyon.fr/site/en/node/43182

Contacts: Simon Rit (simon.rit@creatis.insa-lyon.fr) and David Sarrut
(david.sarrut@creatis.insa-lyon.fr)
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