VISION-LIST digest 26.8
Vislist Moderator
VISION-LIST Digest Mon Oct 15 02:19:30 PST 2007 Volume 26 : Issue 8
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Today's Topics:
JOB : Research position - Microsoft Research - UK
JOB : BC Leadership Chair - Simon Fraser Univ - BC Canada
JOB : Computer Scientist - The University of Chicago - Chicago, IL
JOB : Post-doc - Universite de Bourgogne - France
JOB : Postdoc - Cranfield Univ - UK
JOB : Postdoctoral Scholar - The Univ of Chicago - Chicago, IL
JOB : Postdoc - CSIRO Math & Info Sci - Sydney, Australia
JOB : Postdoc - Univ of Cape Town - S. Africa
JOB : Postdoc - University College London - UK
JOB : Postdoc Position - INRIA - France
JOB : Research positions - Ghent Univ - Belgium
JOB : Postdoc Fellowships - GE Healthcare/UWO/Robarts - ON, Canada
JOB : PhD and Pstdoc positions - Max-Planck Inst - Tuebingen, GER
JOB : Research assistant - Univ Penn - PA, USA
JOB : IP Algorithms Engineer - GE Healthcare - Waukesha, WI, USA
CFP : ECCV 2008 - Marseille, France - 17MAR2008
CFP : 8th SW Sym IAI - Santa Fe, NM - 26NOV2007
CFP : 2008 Int Conf AI and PR
CFP : BVMMA Security & Surveill - London UK - 30DEC2007
CFP : 3rd Int Conf ISP - France - 25JAN2008
CFP : Shape Rep/Analysis/Perception - London, UK - 05NOV2007
CFP : 5th Int Conf Artic. Motion, Deformable Objects - Spain - 22FEB08
----------------------------------------------------------------------
From: Andrew Blake <abl...@microsoft.com>
Subject: JOB : Research position - Microsoft Research - UK
MICROSOFT RESEARCH CAMBRIDGE
Research position with associated college Fellowship
Applications are invited for the post of researcher in the field of
adaptive computing (including topics such as pattern recognition,
probabilistic inference, machine learning and computer vision). The post
will be associated with a Research Fellowship at Darwin College in
Cambridge.
Eligibility
Men and women graduates of any university are eligible to apply,
irrespective of age, provided they have a doctorate or an equivalent
qualification, or expect to have submitted their thesis before taking up
the Fellowship.
Tenure
The post will commence on l June 2008 (or on a date to be agreed, but in
any case not sooner than 1 Mar 2008) and will be at postdoc level. The
tenure of the post and the associated Fellowship will be 2 years.
Further enquiries about the post may be made by email to
mailto:cam...@microsoft.com .
The Research Laboratory
The successful candidate will engage in research full-time at the
Microsoft Research Laboratory in Cambridge. Microsoft Research (MSR)
Cambridge was Microsoft Corp.'s first research laboratory to be
established outside the United States and was set up in July 1997 and
houses over 100 researchers, mostly from Europe, who are engaged in
computer research at a purpose-built laboratory on the University's West
Cambridge campus. Research at the Cambridge facility focuses on
programming languages, security, information retrieval, machine
learning, computer vision, operating systems and networking. MSR
Cambridge maintains close links with the University of Cambridge,
including the Computer Laboratory, the Engineering Department and the
Statistical Laboratory. For further details see
http://www.research.microsoft.com/labs/ . Details of the scope of
research at Microsoft Cambridge, going on in the specific areas of the
research post, are given at http://www.research.microsoft.com/mlp/ .
College Research Fellowship
The Fellow will be a member of the Governing Body of Darwin College and
will be subject to the Statutes and Ordinances of the College which may
be seen on request to the Bursar. The Statutes include the obligation
to reside in or near Cambridge for at least two-thirds of each
University term, but the Governing Body will normally excuse absences
made necessary by the nature of the research undertaken. The Fellow will
be able to take seven meals per week at the College table free of charge
and additional meals at his or her own expense. Guests may be invited
to all meals (within the limits of available accommodation), ten of them
free of charge within any quarter of the year. College accommodation
will be provided, subject to availability, or an accommodation allowance
will be paid in lieu.
Stipend and Emoluments
The stipend will depend upon qualifications and experience, along with a
number of Microsoft employee benefits.
Applications
Applications (in Word, PDF or txt format only) should be by Emailed to
mailto:camb...@microsoft.com with the subject line 'Darwin Microsoft
Fellowship' by 15 October 2007 and include (1) a curriculum vitae, (2)
an account, in not more than 1000 words, of the proposed research,
including a brief statement of the aims and background to it, (3) the
names and addresses of three referees (including telephone, fax and
email addresses), who should be asked to email references immediately
direct to the above email address, and (4) a list of published or
unpublished work that would be available for submission if requested.
Short-listed candidates may be asked to make themselves available for
interview on a date to be arranged at the end of November 2007. The
appointment will be made as soon as possible thereafter. Travelling
expenses for overseas interviewees will be covered.
------------------------------
From: "Tracy Lee" <rrg...@fas.sfu.ca>
Subject: JOB : BC Leadership Chair - Simon Fraser Univ - BC Canada
SIMON FRASER UNIVERSITY, FACULTY OF APPLIED SCIENCES
BRITISH COLUMBIA LEADERSHIP CHAIR IN MEDICAL IMAGING
The Government of British Columbia, Canada is supporting the
establishment of a small number of permanent BC Leadership Chairs at
public post-secondary institutions. These endowed BC Leadership Chairs
are designed to attract world-class faculty, strengthen the province's
capacity for innovative research, promote British Columbia as a centre
for cutting-edge research, enhance economic development and position the
province as a leader in the knowledge-based economy. The Faculty of
Applied Sciences at Simon Fraser University has been awarded one of
these endowed Chairs and invites applications for this Leadership Chair
in Medical Imaging as part of an initiative to further develop Medical
Imaging Science within the Faculty of Applied Sciences. The recruited
individual will hold a joint-position at the rank of Professor in
Computing Science, Engineering Science and/or Kinesiology and is
expected to lead an emerging area of strength within the Faculty. We
seek to attract an internationally recognized expert in Medical Imaging
who will bring extensive expertise to SFU in minimally one of the
following areas: biomedicine, medical image acquisition, medical image
analysis, computer vision, visualization, and applied mathematics. The
goal as Chair will be to provide a focus for regional research efforts
in these areas and facilitate collaboration with health researchers
across the campus, local hospitals, and the provincial biomedical
imaging sector.
SFU provides a rich research environment on which to build. The
candidate is expected to unite those directly involved in researching
the entire medical imaging process, including the imaging physics and
chemistry, the computational image analysis and its application, the
study of the biomedical aspects of disease, with a particular focus on
cardiac defects and stroke, and the challenges of assisting diagnosis
and communicating medical imaging results across networks of health care
professionals and hospitals. SFU has defined a major strategic objective
to facilitate collaborations across traditional disciplinary and
institutional boundaries. Across the university, the Faculties of
Applied Sciences, Health Science, Science, and Arts and Social Sciences
provide a wealth of collaborative opportunities; in addition, SFU has a
number of key partnerships with hospitals in the region. Within the
Faculty of Applied Sciences, the combination of Schools, including
Computing Science, Engineering, and Kinesiology, facilitates inter- and
multi-disciplinary research.
SFU serves about 25,000 students and the main campus is located on top
of Burnaby Mountain in Greater Vancouver. The campus commands
magnificent mountain and ocean views. The lower mainland area of British
Columbia is known for its mild climate and excellent recreational
opportunities. All qualified candidates are encouraged to apply; however
Canadians and permanent residents will be given priority. The University
is committed to employment equity and welcomes applications from all
qualified women and men, including visible minorities, aboriginal
people, persons' with disabilities, gay men and lesbians. Applications
will be accepted until the position is filled but applicants are
encouraged to apply by November 15th. Under the authority of the
University Act, personal information that is required by the University
for academic appointments will be collected.
To apply, send curriculum vitae, evidence of research productivity
(including selected reprints) and names, addresses and phone numbers of
four referees to:
Dr. Wade Parkhouse, Associate Dean
Research and Graduate Studies, Faculty of Applied Sciences,
Simon Fraser University, 8888 University Dr, Burnaby, B.C. V5A 1S6 Canada
mailto:park...@sfu.ca
------------------------------
From: "Kenji Suzuki" <suz...@uchicago.edu>
Subject: JOB : Computer Scientist - The University of Chicago - Chicago, IL
A Computer Scientist position is available for a highly motivated
individual who wants to develop his/her academic career in the field of
medical imaging sciences/engineering. Our laboratory in the Department
of Radiology in the Biological Sciences Division at The University of
Chicago focuses on research on computer-aided diagnosis of lesions in
medical images and the development of techniques of pattern recognition,
image analysis, and machine learning for computer-aided diagnosis. Our
department is one of the leaders in computer-aided diagnosis research,
which is at the forefront of research areas in medical imaging.
Applicants should have an M.S. or B.S. degree (or an equivalent degree)
in computer science/engineering, biomedical engineering, or a similar
discipline. The successful candidate should have excellent programming
skills in the computer languages (C/C++, Perl, and Matlab) and strong
problem-solving skills. Substantial experience in 2D and 3D pattern
recognition, computer vision, image analysis, and/or machine learning is
desired.
Interested candidates are encouraged to send their CV and a brief
description of computer programming skills and research interests to:
mailto:suz...@uchicago.edu Kenji Suzuki, Ph.D., Assistant Professor of
Radiology, Medical Physics, and Cancer Research Center, Department of
Radiology, Division of the Biological Sciences, The University of
Chicago.
For more information, see our laboratory at
http://suzukilab.uchicago.edu/
------------------------------
From: "Tadeusz Milosz SLIWA" <sliwat...@yahoo.fr>
Subject: JOB : Post-doc - Universite de Bourgogne - France
Post doctoral position in medical imaging post-processing.
Prediction of rupture risk in abdominal aortic aneurysm from MR images
without contrast agent.
Surgical intervention for abdominal aortic aneurysm is appropriate when
the cumulative risk for rupture exceeds risk for repair. Currently, the
recommendation for intervention is generally based on aortic diameter.
However, large clinical trials have shown that this parameter is not
always reliable. In an ongoing project at the Universite de Bourgogne,
associated with the University Hospital of Dijon, an evaluation of
aortic wall stress (in the case of abdominal aortic aneurysm) is
performed from morphological and functional parameters acquired via MRI.
The use of cine-MR sequences without injection of contrast agent allows
a deformable 3D representation of the aorta. Other sequences allow the
evaluation of specific morphological or functional (such as blood
velocity) parameters. The stress distribution along the aorta may be
calculated from these parameters, in order to predict the rupture risk.
In the framework of this project, we are seeking to recruit a
postdoctoral researcher for, firstly, the 3D-4D representation of the
aorta, and secondly for the determination of stress zones on this
representation.
Prerequisites/desired skills: Prospective applicants should have a good
background in image processing, in medical imaging (in particular in
MRI), as well as strong programming skills in C/C++, and hold a PhD,
with condition of never having been employed in France.
Contacts:
Yvon Voisin, mailto:yvon....@u-bourgogne.fr
Alain Lalande, mailto:alal...@u-bourgogne.fr
(present at the ISMRM-ESMRMB 2007 meeting)
Host institution: LE2I, Universite de Bourgogne, Auxerre, France.
Complete address:
Yvon VOISIN, Laboratoire Le2i - UMR CNRS 5158, Site d'Auxerre, Route des
Plaines de l'Yonne, BP 16, 89010 AUXERRE Cedex
Duration: One year
Salary: =802000 / month
------------------------------
From: "Toby Breckon" <toby.b...@cranfield.ac.uk>
Subject: JOB : Postdoc - Cranfield Univ - UK
School of Engineering, Cranfield University, UK.
Research Officer/Fellow
Computer Vision & Image Analysis
=A327,665 to =A330,835 per annum (depending on qualifications and
experience)
We are seeking a suitably qualified Researcher to work on a computer
vision project in the Applied Mathematics and Computing Group in the
School of Engineering. The Group has a strong record in applied research
in the academic and industrial sectors including computer vision and
image processing.
Your research and development activity will primarily be related to the
automated identification and classification of cell nuclei in a
collaborative research project with the University of Birmingham. This
will involve the adaptation of established image classifier techniques
towards the automatic identification of cell nuclei within dental slide
imagery and later integration of machine learning classification tools
to determine particular sub-types of cell nuclei. You will work as part
of a cross-institutional project and be expected to contribute to
inter-team meetings and publications. In addition you may also have the
opportunity to work on other related projects within the Cranfield
research group.
You will have a strong background in image processing, image analysis,
computer vision or a related field of computer science or computer
engineering. Ideally you will have a specific interest or experience in
object recognition or image classification systems. You will have a good
first degree in computer science, artificial intelligence or a related
subject and a PhD or strong experience in a relevant topic. Candidates
without a PhD will also be considered, postgraduate experience at MSc
level is desirable and prior experience is essential in:
programming (C, C++)
computer vision, image processing or image analysis techniques.
Additional medical/biological computer vision or image analysis
experience is desirable but not essential. This appointment will
commence in November 2007, for a fixed term of 12 months (end of the
project in November 2008). An extension of this initial term may be
possible.
To make an informal enquiry please contact Professor Thompson, Head of
the Applied Mathematics and Computing Group,
mailto:am...@cranfield.ac.uk or Dr. Breckon, Project Manager,
mailto:toby.b...@cranfield.ac.uk .
Application forms and further details are available from the Human
Resources Department, Cranfield University, Cranfield, Bedford MK43
0AL. mailto:h...@cranfield.ac.uk http://www.cranfield.ac.uk/hr Alternatively,
telephone our 24 hour. Recruitment Line on +44 (0)1234 750111 extension 2000,
quoting reference number C/7121H.
Closing date for receipt of applications: 19 October 2007
------------------------------
From: "Kenji Suzuki" <suz...@uchicago.edu>
Subject: JOB : Postdoctoral Scholar - The Univ of Chicago - Chicago, IL
A Postdoctoral Scholar position is available for a highly motivated
individual who wants to develop or advance his/her academic career in
the field of medical imaging sciences/engineering. Our laboratory in
the Department of Radiology in the Biological Sciences Division at The
University of Chicago focuses on research on computer-aided diagnosis of
lesions in medical images and the development of techniques of pattern
recognition, image analysis, and machine learning for computer-aided
diagnosis. Our department is one of the leaders in computer-aided
diagnosis research, which is at the forefront of research areas in
medical imaging.
Applicants should have a Ph.D. in computer science/engineering,
biomedical engineering, or a similar discipline. The successful
candidate should have substantial experience in 2D and 3D pattern
recognition, computer vision, image analysis, and/or machine learning.
The successful candidate should also have excellent programming skills
in the computer languages (C/C++, Perl, and Matlab), as well as strong
problem-solving and excellent collaboration skills.
Interested candidates are encouraged to send their CV and a brief statement
of research interests to: mailto:suz...@uchicago.edu Kenji Suzuki, Ph.D.,
Assistant Professor of Radiology, Medical Physics, and Cancer Research
Center, Department of Radiology, Division of the Biological Sciences, The
University of Chicago.
For more information, see our laboratory at
http://suzukilab.uchicago.edu/
------------------------------
From: Changming Sun <changm...@csiro.au>
Subject: JOB : Postdoc - CSIRO Math & Info Sci - Sydney, Australia
http://recruitment.csiro.au/asp/job_details.asp?RefNo=2007%2F842
Reference Number: 2007/842
Position Title: Postdoctoral Fellow - Image Analysis Biotech Imaging
Terabyte Science
Division: CSIRO Mathematical and Information Sciences
Location: North Ryde, NSW, Australia
Classification: CSOF4
Salary Range: $65K - $72K plus Superannuation
Tenure: 3 year term
Applicants: International Applicants Welcome
Relocation Assistance: May be offered to the successful applicant.
Applications Close: 28 Oct 2007
Job Category: Post Doctoral/Fellowship Scientific Research
We seek a highly competent and motivated image analyst to develop new
methods in "Terabyte Imaging", research that encompasses high-throughput
image analysis, analysis of large or mosaiced images, and 3D image
datasets.
We seek someone who can develop image analysis algorithms and
methodologies to increase the volume of image data that is feasible to
process. This may include development of tools for
* segmentation, analysis, and visualization of 3D confocal microscopy
datasets
* processing of very large image mosaics from tissue micrographs
* feature detection in cell-based assays.
This position is funded by CSIRO's Terabyte Science initiative which
sees new methods for dealing with large datasets as critical to
scientific discovery in biology, manufacturing, and oceanography. Ample
opportunity for cross fertilisation, and networking will be provided.
You will have
* recently earned a PhD in computer science, engineering, mathematics or
a related discipline
* formal training in computer vision or image analysis
* ideally, some experience of the life sciences.
You will be a team player, an innovative thinker and a good communicator.
Position Description:
* Develop and apply novel and effective algorithms to analyse large sets
of image data
* Publish results in high impact journals and conferences
* Contribute to the commercial and scientific activities of the broader
CSIRO Biotech Imaging Stream
* Other duties as required
For details, please visit:
http://recruitment.csiro.au/asp/job_details.asp?RefNo=2007%2F842
------------------------------
From: "tania douglas" <tania....@gmail.com>
Subject: JOB : Postdoc - Univ of Cape Town - S. Africa
The Medical Imaging Research Unit in the Biomedical Engineering Division
at the University of Cape Town has a vacancy for a postdoctoral fellow.
The successful candidate will develop algorithms for object and feature
detection and classification in medical images and will be expected to
engage in limited teaching and supervision of graduate students. A PhD
obtained within the last 5 years with a background in Engineering,
Physics, Computer Science or Mathematics and experience in image
processing are required. The fellowship is tenable for 2 years.
Applicants should send a letter of motivation, a CV and the contact
details of 3 referees to Dr Tania Douglas ( mailto:ta...@ieee.org ; fax
+27 21 4487226) by 20 September. Further information is available at
http://www.uct.ac.za/faculties/health/research/miru/ .
------------------------------
From: Simon Prince <s.pr...@cs.ucl.ac.uk>
Subject: JOB : Postdoc - University College London - UK
Research Associate, Computer Vision
UCL Department of Computer Science
We are seeking a post-doctoral Research Associate to work on object
class recognition models: a core unsolved problem in computer vision is
how to mathematically represent the shape and appearance of visual
objects. We need models which exploit the similarity between all members
of the class, but are flexible enough to represent the individual
examples. The goal of this project is to develop a 'gold-standard'
statistical model of class appearance and shape. In particular we are
interested in 'mosaic' models, which represent class images as a
composite picture made up of smaller patches.
Applicants will require a PhD (or equivalent research experience) in
computer vision, computer graphics, machine learning or other area
related to the topic. They must have experience designing and running
user experiments, and be confident writers and presenters.
Founded in 1973, the UCL Department of Computer Science has
internationally leading groups in Networking, Software Engineering,
Bioinformatics, Machine Learning, Image Processing and Computer
Graphics. It is an innovative department with 40 faculty members and is
located in central London - an ideal environment for young researchers.
See http://www.cs.ucl.ac.uk/staff/s.prince/ for more details of the
vision laboratory.
The post will be on the UCL grade 7 scale, the salary for which ranges
from =A329,238 to =A335,368 inclusive p.a. The starting salary for the
person appointed will be between =A329,238 - =A333,485 p.a. including
London Allowance. The position is funded for one year from November
2007.
For further details and information on how to apply, please see our
website at http://www.cs.ucl.ac.uk/vacancies
The closing date for applications is Friday, 21st September 2007.
Simon Prince, Department of Computer Science
University College London, Gower Street, London, WC1E 6BT
Tel. 020 7679 3692, Fax. 020 7387 1397
http://www.cs.ucl.ac.uk/staff/S.Prince/
------------------------------
From: Jakob Verbeek <Jakob....@inria.fr>
Subject: JOB : Postdoc Position - INRIA - France
The LEAR research team at INRIA Rhone-Alpes in Grenoble (France) is
seeking outstanding postdoctoral researchers to join our lab for one or
two years, starting fall 2007 to early 2008. Candidates should have a
strong background and interest in Computer Vision or Machine Learning,
and ideally both.
The postdoc will work primarily within the EU project CLASS, with focus
on learning from loosely annotated images, such as found eg. on
web-based image archives such as flickr. The goal is to improve
text-based search results by analyzing co-occurrence of tags and visual
content, a second goal is the detection of missing tags and erroneous
tags.
The LEAR (Learning and Recognition in Vision) team studies methods for
recognition and detection of visual categories, as well as large-scale
image databases. Many of LEAR projects interface between machine
learning and computer vision, investigating generative and
discriminative probabilistic models, as well as kernel and boosting
methods. Currently our group has 4 full-time staff members (Cordelia
Schmid, Bill Triggs, Frederic Jurie, Herve Jegou), 3 postdocs, 2
engineers, 9 PhD students, and several MSc students.
Grenoble is a lively city which hosts many foreign students and
researchers. Located in the heart of the French Alps its direct
surroundings offer great outdoor recreation including skiing, cycling,
and hiking. Paris can be reached from Grenoble in 3h by train.
Candidates should send a CV, and a list of three references
electronically to mailto:Cordeli...@inrialpes.fr and
mailto:Jakob....@inrialpes.fr
References:
- Website LEAR http://lear.inrialpes.fr
- Website CLASS http://class.inrialpes.fr
------------------------------
From: Wilfried Philips <phi...@telin.UGent.be>
Subject: JOB : Research positions - Ghent Univ - Belgium
Research positions: Image Processing and Interpretation
The research group Image Processing and Interpretation (Ghent
University) is looking to hire several researchers (pre-doctoral or or
postdoctoral level) in the domain of image processing and
interpretation. The researchers will be involved in new joint basic
research projects with companies and academic projects. Initial
contracts will be for one year, with the possibility of renewal.
Pre-doctoral candidates will be given the opportunity to obtain a PhD.
in the long term (within four years).
The precise research topics will be fixed in December 2007, but the
projects will be most likely in the following area's:
. segmentation of 3D medical images and microscopic images, including
stereoscopic and electron microscopic images;
. tracking of objects and analysis of video sequences for surveillance
purposes, including multi-camera systems;
. restoration of 2D, 3D images and video sequences;
. accurate navigation and mapping with mobile camera's.
We expect the following from the researchers:
. Research qualities: intelligence, perseverance, creativity,
experimental skills, critical attitude;
. A strong motivation to perform research;
. A good knowledge of English (written and oral);
. Degree requirements: Master's degree in (preferably) electrical or
computer engineering, computer, science, physics, mathematics;
. Good written and oral communication skills.
For postdocs, we additionally require
. a proven academic track record as evidenced by the publication of
papers in renowned scientific journals;
. past research experience in one of the mentioned areas;
. the ability to co-supervise junior researchers and to define and
supervise research projects;
. flexibility: the ability to deal with new research issues as they
arise, even if they are at the edge of your field of interest;
. past experience in writing project proposals, supervising research
projects or PhD.-students is a bonus.
We offer the researchers:
. researchers without a PhD.: the possibility to pursue a PhD.-degree on
a tax-free scholarship (approx. 1 600 EURO/month, for a maximum of 4
years; includes social security coverage);
. postdoctoral researchers: the possibility to evolve towards
supervising research and setting up research projects. The wages
depend on the qualifications of the candidates and their age,
according to the university's standards;
. a pleasant working environment in a group of approx. 20 researchers;
. the possibility to participate in international conferences and
courses;
. the possibility to attend scientific conferences and to follow some
additional courses.
Initially, a one-year contract will be offered (trial period).
Afterwards, the contract can be prolonged (by at least 1 year for
postdocs and 3 years for PhD.-positions). For more information, please
contact Prof. dr. ir W. Philips by email. Applicants should send (by
email) a detailed CV with an overview of the educational grades, earlier
jobs or experience, and a publication list (required for postdocs).
All applications will be treated in confidence
Prof. dr. ir W. Philips, Image Processing and Interpretation
Dept. of telecommunications and Information Processing
St.-Pietersnieuwstraat 41, 9000 Gent, Belgium
Tel: 09/264.33.85
mailto:phi...@telin.UGent.be
http://telin.ugent.be/ipi
------------------------------
From: "Li, Shuo (GE Healthcare)" <Shu...@ge.com>
Subject: JOB : Postdoc Fellowships - GE Healthcare/UWO/Robarts - ON, Canada
Postdoc Fellowship-GE Healthcare/UWO/Robarts
-Medical Image analysis and visualization
Two postdoc fellowships are available in London, ON, Canada.
The successful candidates will conduct cutting-edge research with
leading researchers in the collaboration of GE Healthcare, Robarts
institute and UWO for medical image analysis and visualization. They
will gain opportunities to directly interact with radiologists for
problem definition, development, and validation as well.
Qualified candidates are encouraged to apply Canada NSERC industrial
postdoc fellowship supported by GE Healthcare. For those who have
obtained NSERC postdoc fellowship, a top up will be given based on the
qualification.
GENERAL REQUIREMENTS:
We will only consider excellent scholars with degrees (or going to )
from CS or an engineering discipline with an inter-disciplinary
background in some of the following areas: image processing and
visualization, computer aided diagnosis, computer vision, pattern
recognition, expert system, and machine learning with a proven record in
research, innovative thinking, real-world problem solving, and fast
prototyping.
Only strong candidates with proved record of research are encouraged to
apply.
For consideration, please send a cover letter, CV and three
representative publications to: mailto:shu...@ge.com . Please put the
following in the subject: "GE-London-Postdoc".
------------------------------
From: Christoph Lampert <christop...@tuebingen.mpg.de>
Subject: JOB : PhD and Pstdoc positions - Max-Planck Inst - Tuebingen, GER
Computer Vision / Machine Learning Positions in Tuebingen, Germany
The Max-Planck-Institute for Biological Cybernetics at Tuebingen,
Germany, is happy to announce the availability of several positions in
the area of Computer Vision and Machine Learning. This includes regular
PhD or PostDocs positions as well as possibilities for short-term (three
to six month) research stays.
Applicants with excellent references and a thorough background in
computer vision and/or machine learning are encouraged to apply
electronically following the procedure described at
http://www.kyb.mpg.de/bs/application.html
For further information contact Ms. Nielebock:
mailto:sabrina....@tuebingen.mpg.de
------------------------------
From: "Verma, Ragini" <Ragini...@uphs.upenn.edu>
Subject: JOB : Research assistant - Univ Penn - PA, USA
The Section of Biomedical Image Analysis, Dept. of Radiology, University
of Pennsylvania, has been a dynamically growing medical analysis group,
currently including more than 22 researchers and many collaborators from
diverse fields. We are seeking a motivated young scientists to fill the
position of research assistant. The successful candidate will become
familiar with a variety of image processing algorithms and will use
efficient scripting and other programming tools to create integrated
image processing pipelines. He/she will participate in a number of
collaborative imaging studies and will have the opportunity to co-author
scientific papers. Bachelor's degree in Electrical Engineering,
Biomedical Engineering or Computer Science or related field required;
Master=92s preferred; 0-1 years experience. Medical background and
experience with medical images is an important plus.
For information please contact:
Ragini Verma, Ph.D., Assistant Professor
Section of Biomedical Image Analysis, Department of Radiology
University of Pennsylvania, 3600 Market street, Suite 380
Tel. 215-349-8587, Fax. 215-614-0266
mailto:Ragini...@uphs.upenn.edu
http://www.rad.upenn.edu/sbia
------------------------------
From: Steve Garnier <sjga...@acb.net>
Subject: JOB : IP Algorithms Engineer - GE Healthcare - Waukesha, WI, USA
Job #: 625904
Both experienced and entry-level candidates are encouraged to apply.
Interested parties should visit http://www.gecareers.com/ and use job number
625904 to search and apply.
JOB DESCRIPTION:
As a signal & image processing algorithms engineer, you will collaborate
cross-functionally with global software engineers, MR applications/Pulse
Sequence development engineers, academic/research and clinical
scientists and coil designers to develop and optimize algorithms related
to MR image reconstruction, image processing and related signal
processing areas from concept to product for the various GE MRI product
lines.
RESPONSIBILITIES:
* Understand research and industry trends in the area of MR
reconstruction and MR image processing applications, translate
emerging MR application needs to algorithmic solutions, work with
advanced technology development scientists and engineers to
demonstrate feasibility with research and/or clinical prototypes
as appropriate.
* Work with cross functional software engineers, pulse sequence
engineers, coil designers and clinical applications specialists to
o Improve existing algorithms by optimizing the algorithm and
parameters for image quality and processing speed;
o Develop/integrate software into product in accordance with
established product software development processes.
* Plan and perform integrations activities at component, sub-system
and system levels. Document requirements, designs and verification
activities; perform component & sub-system level verifications,
participate in integration, system verifications and validations
as necessary.
* Investigate and resolve product complaints related to system
reliability, image quality, performance and other issues. Interact
with customers, field service engineers, MR applications
specialists, pulse sequence to investigate and resolve product
quality issues.
* Translate MR application roadmap into algorithm needs; help
establish reconstruction algorithms roadmap.
* Collaborate with Reconstruction Software Engineers to translate
emerging Reconstruction algorithm trends into Hardware and
Software Platform needs to guide the reconstruction platform
roadmap and development.
QUALIFICATIONS:
* Masters Degree in Electrical Engineering, Biomedical Engineering,
Computer Science/Engineering, Physics or Mathematics.
* Demonstrated experience with MATLAB/IDL/LabVIEW or equivalent
scientific simulation tools & packages.
* Strong understanding of digital signal processing techniques,
algorithms and mathematical transforms.
* Demonstrated proficiency in C programming; working knowledge of
UNIX operating system and utilities will be an added plus.
* Strong Analytical and Problem Solving skills and demonstrated team
work skills.
* Working knowledge of C++ programming and familiarity with Object
Oriented Programming Concepts.
* Familiarity with industry software development lifecycles,
development environments and tools.
* Must be legally authorized to work in the United States full-time
* Must be willing to work in our Waukesha, WI facility full-time
* Must be willing to submit to a drug test, and background check -
to include verification of previous employment, criminal history
and educational background
* Must submit application for employment through
http://www.gecareers.com <http://www.gecareers.com/> (or COS if
internal) to be considered.
* Must be 18 years of age or older.
DESIRED:
* Ph.D. in Electrical Engineering, Biomedical Engineering, Physics
or Advanced Image/Signal Processing related areas.
* Experience with MR Reconstruction processing pipeline; knowledge
of various corrections in K-Space and Image space.
* Strong understanding of Parallel Imaging Techniques - SENSE,
SMASH, GRAPPA, SPACERIP.
* Knowledge of emerging Non-Cartesian Acquisition/Reconstruction
Techniques, motion correction techniques and MR image artifacts
will be an added plus.
* Working knowledge of MR pulse sequences/acquisition techniques and
K-space sampling strategies utilized by various clinical
applications.
* Experience with GE MR research capabilities and offline
Reconstruction Processing. Working knowledge of EPIC programming
will be a plus.
* Product Software development experience in the Medical Device
Industry. Experience working in a global team environment.
* Strong verbal/written communication and influencing skills.
------------------------------
From: David Forsyth <d...@uiuc.edu>
Subject: CFP : ECCV 2008 - Marseille, France - 17MAR2008
ECCV 2008: First Call for Papers
10th European Conference on Computer Vision
Marseille, France
12th - 18th October 2008
http://eccv2008.inrialpes.fr/
Mar 17th 2008 Deadline for paper submission
ECCV 2008 - the 10th European Conference on Computer Vision will be held
in Marseille, France. ECCV is a selective single-track conference on
computer vision comprising the highest quality, previously unpublished,
papers.
Contributions are sought on new and original research on any aspect of
computer vision. Possible topics include, but are not limited to:
Sensors and Early Vision
Color and Texture
Segmentation and Grouping
Motion and Tracking
Stereo and Structure from Motion
Image-Based Modeling
Illumination and Reflectance Modeling
Shape Representation
Object Recognition
Video Analysis and Event Recognition
Face and Gesture
Statistical Methods and Learning
Performance Evaluation
Applications, including Medical Image Analysis
Image and Video Retrieval
Each paper will receive 3 double blind reviews, which will then be
moderated by a committee of area chairs. In submitting their manuscript
to ECCV 2008, authors acknowledge that no paper of substantially similar
content has been or will be submitted to another conference or workshop
during the ECCV 2008 review period. Notice that the deadline is later
than for previous ECCVs to give a greater time gap between CVPR and ECCV
deadlines.
For further information regarding submission of papers please visit the
ECCV 2008 homepage:
http://eccv2008.inrialpes.fr/
In addition to the main scientific program, the conference will include
Tutorials, Workshops, Demonstrations, and Industrial Exhibitions.
Tutorials will provide clear introduction, advanced explanations, and
concise synthesis of topical subjects. Workshops will provide a forum to
present latest results in detail to specialized communities. Please
submit proposals for Tutorials, Workshops, Demonstrations, and
Exhibitions to the appropriate chair. See deadlines below.
IMPORTANT DATES:
Paper submission 17th March 2008
Acceptance notification 19th June 2008
Camera-ready papers Mid-July 2008
Conference 12th-18th October 2008
Main conference 13-16 Oct 2008
Proposals for workshops should be submitted by Feb 15th 2008. Details
are on the website.
------------------------------
From: "Gang Qian" <gq...@mainex1.asu.edu>
Subject: CFP : 8th SW Sym IAI - Santa Fe, NM - 26NOV2007
CALL FOR PAPERS
The 8th Southwest Symposium on Image Analysis and Interpretation
(SSIAI 2008)
March 24-26, 2008,
Santa Fe, New Mexico, USA
http://www.ssiai.org
Sponsored by the IEEE Computer Society Technical Committee on
Computational Medicine
OVERVIEW
Given the ubiquity of digital images and videos, computational image and
video analysis and interpretation continues to be an exciting and
dynamic research area. SSIAI-2008 will bring together researchers and
practitioners in academia, industry, and government to share and discuss
the latest advances in this field. The biennial symposium seeks original
contributions reporting novel research directions and exploratory
applications.
IMPORTANT DATES
Nov. 26, 2007: Papers due
Jan. 12, 2008: Acceptance notification
Feb. 9, 2008: Camera-ready papers due
PLENARY and KEYNOTE SPEAKERS
Charles Bouman, Purdue University;
Alan C. Bovik, University of Texas;
Tsuhan Chen, Carnegie Mellon University;
Ed Delp, Purdue University
TOPICS of INTEREST (not limited to)
stereo image/video analysis, biomedical image analysis, color image
analysis, remote sensing, segmentation, content based image retrieval, features
and invariants, automated inspection, boundary detection, real-time image
analysis, multiscale analysis applications, multidimensional analysis, multispectral
analysis, compressed domain processing, and video analysis.
PAPER SUBMISSION
Submit a paper (maximum of 4 pages including figures and references) in
double-column IEEE conference format. Submission will be electronic
using the PDF format. Accepted full papers will be same format with a
four page limit. For further details, please visit the official website
www.ssiai.org.
Each accepted paper will be published in the conference proceedings,
provided at least one author registers in advance at a non-student rate.
No person may appear as author or coauthor on more than three proposed
papers.
ORGANIZING COMMITTEE
General Chair: Marios S. Pattichis University of New Mexico
Program Chairs: Joseph Havlicek University of Oklahoma,
Scott T. Acton University of Virginia
Local Arrangements Chair: Brendt Wohlberg Los Alamos National Lab
Publicity Chair: Gang Qian Arizona State University
------------------------------
From: "Bhanu Prasad" <bhan...@gmail.com>
Subject: CFP : 2008 Int Conf AI and PR
The 2008 International Conference on Artificial Intelligence and Pattern
Recognition (AIPR-08) will be held during July 7-10 2008 in Orlando, FL,
USA. You can see more details about the conference (and some other
conferences that will be held at the same place and time) at the
website: http://www.PromoteResearch.org
Please feel free to contact me.
Best regards
B. Prasad
Program Committee Co-Chair of AIPR-08
------------------------------
From: Simon Prince <s.pr...@cs.ucl.ac.uk>
Subject: CFP : BVMMA Security & Surveill - London UK - 30DEC2007
British Machine Vision Association and Society for Pattern Recognition
Call for Participation: Deadline 30'th October
Security and Surveillance: performance evaluation
One Day BMVA symposium at the British Computer Society, Southampton
Street, London, UK on 12th December 2007
Chair: Andrea Cavallaro - Queen Mary, University of London
Performance evaluation and validation is an important open problem for
computer vision algorithms applied to security and surveillance
applications due to the lack of commonly accessible datasets and
commonly accepted evaluation protocols. Although in recent years
important efforts have been devoted to the design of evaluation metrics
and the comparison of algorithms (e.g., PETS, ETISEO, CLEAR, AMI,
CAVIAR), these are not yet taken up by the research community at large.
Moreover, computer vision algorithms need be evaluated with large test
corpora containing significant statistical data variability as the
accuracy of their results is highly data dependent.
The aim of this meeting is to provide a forum for the discussion of
recent algorithms, results, protocols and datasets for the evaluation
and validation of computer vision algorithms for security and
surveillance. Contributions describing recent work on performance
evaluation of object detection, object classification, target tracking,
activity analysis and event recognition are welcome. Manuscripts
describing new or consolidated datasets and metrics for the evaluation
and comparison of algorithms are also sought. Potential topics include,
but are not limited to: metrics for the evaluation computer vision
algorithms applied to surveillance; benchmarking protocols and their
application; metrics for evaluating the complexity of a scene/situation;
metrics for evaluating the performance of single and multi-target
trackers; dataset distribution and privacy issues; ground truth
definition and XML schemas; experience from previous evaluation
campaigns.
Please submit an extended summary of about one A4-sized page (no longer
than two pages) in length (PDF preferred). Send contributions by email
attachment (1Mb max please!) to Andrea Cavallaro
( mailto:andrea.c...@elec.qmul.ac.uk ) by 30th October 2007.
Full Meeting Schedule: http://www.bmva.ac.uk/meetings
Simon Prince, Department of Computer Science
University College London, Gower Street, London, WC1E 6BT
Tel. 020 7679 3692, Fax. 020 7387 1397
http://www.cs.ucl.ac.uk/staff/S.Prince/
------------------------------
From: olivier lezoray <olivier...@free.fr>
Subject: CFP : 3rd Int Conf ISP - France - 25JAN2008
Call For Papers
Third International Conference on Image
and Signal Processing (ICISP 2008)
July 1-3, 2008
Cherbourg-Octeville, Normandy, France
http://www.stlo.unicaen.fr/icisp2008/
Following the two successful previous editions of ICISP (Agadir 2001,
Agadir 2003), the Université de Caen Basse Normandie will organize the
next ICISP event in Cherbourg-Octeville, Normandy, France. ICISP aims to
provide researchers and practitioners from academia and industry with a
forum on the last developments in image and signal processing,
multimedia and computer graphics. The conference will also provide a
unique opportunity for sharing experiences from different backgrounds
with the common interest in advanced in the above-mentioned fields. The
scientific program of ICISP 2008 will include presentation of invited
plenary talks, special sessions as well as posters and regular sessions
with contributed research papers.
IMPORTANT DATES
Paper submission January 25th, 2008
Notification of acceptance March 10th, 2008
Conference July 1th-3th, 2008
INVITED SPEAKERS
- Joachim Weickert (Saarland University - DE)
- David Tschumperlé (GREYC, Image Team - FR)
- Godfried Toussaint (McGill University - CA)
- Driss Aboutajdine (Rabat University - MO)
See http://www.stlo.unicaen.fr/icisp2008/invitedspeakers.php for short
biographies.
TOPICS
* Image and video processing:
image filtering, restoration and enhancement, image segmentation,
video segmentation and tracking, morphological processing,
feature extraction and analysis, interpolation and super-resolution,
motion detection and estimation, computer vision, pattern recognition,
content-based image retrieval.
* Signal Processing:
spectral analysis, time-frequency and time-scale representation,
statistical signal processing, filtering, detection and estimation,
nonlinear signal processing, radar, antennas, telecommunications
systems,
acoustics.
* Computer graphics:
algorithms, visualization, animation, virtual reality.
* Applications:
biomedical sciences, biometry, document image processing and
authentication,
other applications.
SPECIAL SESSIONS :
- Image mass data analysis
- Graph-based representations in pattern recognition
- Biomedical applications: Virtual slide acquisition and processing
see http://www.stlo.unicaen.fr/icisp2008/ssessions.php for a complete
description.
GENERAL CHAIRS
General Chairs
Abderrahim Elmoataz (FR), Université de Caen Basse Normandie
Fathallah Nouboud (CAN), Université du Québec à Trois Rivières
PROGRAM COMMITTEE CHAIRS
Olivier Lézoray (FR), Université de Caen Basse Normandie
Driss Mammass (MO), Université Ibn Zohr
Paulette Herlin (FR), Université de Caen Basse Normandie
CONTACT & FURTHER INFORMATION
mailto:ICIS...@unicaen.fr
http://www.stlo.unicaen.fr/icisp2008
------------------------------
From: Simon Prince <s.pr...@cs.ucl.ac.uk>
Subject: CFP : Shape Rep/Analysis/Perception - London, UK - 05NOV2007
British Machine Vision Association and Society for Pattern Recognition
Call for Participation
Shape Representation, Analysis and Perception
One Day BMVA symposium in UCL, London, UK on 5th November 2007
http://www.bmva.ac.uk/meetings
Chairs: Will Smith and Edwin Hancock, University of York.
Computer vision draws on a diverse range of methods to represent shape
for the purposes of recognition. Broadly speaking, the available methods
are informed by a number of disciplines including geometry, statistics,
neuroscience and psychophysics. Recent advances in the area include the
use of ideas from differential geometry to construct representations for
complex non-Euclidean forms of data and the use of ideas from statistics
to construct shape spaces and shape-priors for objects that exhibit
subtle modes of shape-variation. Moreover, there have been significant
advances in the structural representation of shape, allowing
hierarchical models and symbolic reasoning to be applied to high level
analysis tasks such as the learning of shape-classes. Brain imaging
studies using MEG and fMRI have also furnished information concerning
the mechanisms involved in the perception of visual form.
The aim of this meeting is to provide a forum for the discussion of
recent results in shape representation, analysis and perception.
Contributions describing recent work on shape representation, analysis
or perception are welcome. Potential topics include, but are not limited
to: statistical models, construction of shape-spaces, structural and
syntactic approaches to shape analysis, shape priors, learning and
discovery with shape representations, modelling biological form
(including faces), brain imaging studies, psychophysical studies,
shape-from-X (shading texture, specularity, motion etc).
Please submit an extended summary of about one A4-sized page (no longer
than two pages) in length (PDF preferred). Send contributions by email
attachment (1Mb max please!) to Edwin Hancock ( mailto:e...@cs.york.ac.uk )
by 15th September 2007.
Simon Prince, Department of Computer Science
University College London, Gower Street, London, WC1E 6BT
Tel. 020 7679 3692, Fax. 020 7387 1397
http://www.cs.ucl.ac.uk/staff/S.Prince/
------------------------------
From: Bob Fisher <r...@inf.ed.ac.uk>
Subject: CFP : 5th Int Conf Artic. Motion, Deformable Objects - Spain - 22FEB08
Call for Papers
5th International Conf. on Articulated Motion and Deformable Objects
Puerto de Andratx, Mallorca, Spain
9-11 July, 2008
http://dmi.uib.es/~ugiv/AMDO2008
mailto:am...@uib.es
printable flyer:
http://homepages.inf.ed.ac.uk/rbf/CallforPapersAmdo2008v4.pdf
CORE TOPICS
Track 1: Computer Graphics (Human Modelling & Animation)
Track 2: Human Motion (Analysis, Tracking, 3D Reconstruction & Recognition)
Track 3: Multimodal User Interaction (VR & AR, Speech, Biometrics)
Track 4: Advanced Multimedia Systems (Standards, Indexed Video Contents)
The International Association for Pattern Recognition (IAPR), the
Spanish Association for Pattern Recognition and Image Analysis (AERFAI)
and the Mathematics and Computer Science Department of UIB are
organising the fifth international conference AMDO 2008 that will take
place in Puerto de Andratx, Mallorca. This conference is the natural
evolution of AMDO's previous workshops. The new goal of this conference
is to promote interaction and collaboration among researchers working
directly in the areas covered by the main tracks. The new perceptual
user interfaces and the emerging technologies increase the relation
between areas involved with human-computer interaction. The new
perspective of the AMDO 2008 conference will be to strengthen the
relationship between the many areas that have as key point the study of
the human body using computer technologies as the main tool.
It is a great opportunity to encourage links between research in the
areas of computer vision, computer graphics, advanced multimedia
applications and multimodal interfaces that share common problems and
frequently use similar techniques or tools. In this particular edition
the related topics are divided in several parallel tracks, including the
topics above proposed. AMDO 2008 will consist of three days of lecture
sessions, both regular and invited presentations, a poster session and
international tutorials. The conference fee (approx. 450,00 euro)
includes a social program (conference dinner, coffee breaks, snacks and
cultural activities). Students and IAPR members can register at a
reduced fee.
PAPER SUBMISSION AND REVIEW PROCESS
Papers should describe original and unpublished work about the above or
closely related topics. Please submit your paper electronically at our
website (see URL above) using the software provided. All submissions
should be in Adobe Acrobat (pdf). The AMDO2008 secretariat must receive
your paper before February 22, 2008, 17:00 GMT (London time). Up to 10
A4 pages will be considered. All papers submitted will be subjected to a
blind review process by at least three members of the program committee.
The initial paper must not provide names and affiliation, and should
include a title, a 150-word abstract, keywords and paper manuscript.
Accepted papers will appear in the LNCS Springer-Verlag international
proceedings that will be published and distributed to all participants
at the workshop. For more details and news, visit our web page:
http://dmi.uib.es/~ugiv/AMDO2008
N.B. Submission implies the willingness of at least one of the authors to
register and to present the communication at the conference, if accepted.
IMPORTANT DEADLINES:
Submission of papers February 22, 2008
Notification of acceptance March 31, 2008
Camera-ready April 30, 2008
Early registration May 31, 2008
Late registration June 1 2008
V AMDO Conference 2008 9-11th July 2008
PLACE: Hotel Mon Port ****, Puerto de Andratx, Mallorca, Spain
http://www.hotelmonport.com
------------------------------
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