VISION-LIST digest 27.2 - [1/2]
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Today's Topics:
JOB : CV staff - Airborne Motion Imagery Technology - USA
JOB : Principal Vision SE - Cognex Corp - Natick, MA
JOB : Professor / Associate Professor - Ecole des ponts - Paris
JOB : Faculty position - Stevens Inst of Tech - Hoboken, NJ
JOB : 3D Visualization Scientist - UtopiaCompression - LA, CA
JOB : CV Scientist - OMG plc / Vicon Motion Systems - Oxford UK
JOB : Postdoc/Ph.D - Univ of Waterloo - Ontario, Canada
JOB : Ph.D/PostDocs - Lawrence Berkeley National Lab - CA
JOB : Research Positions - Howard Hughes Medical - Virginia
JOB : Post-doctoral Fellowship - Smith-Ketterwell - SF, CA
JOB : Post-doc - Univ of Pennsylvannia - Philadelphia, PA
JOB : Post-doc - Cranfield Univ - UK
JOB : Ph.D. and PostDoc positions - Eindhoven Univer - NL
JOB : Postdoc - Columbia Univ - NYC, NY
JOB : PhD Studentship - Martin-Luther Univ - Germany
JOB : PhD Prize Studentship - Edinburgh - UK
JOB : PhD Studentships - Univ of York - UK
JOB : Intern position - ObjectVideo - Reston, VA
JOB : Student Internship - Philips Research - Eindhoven, NL
JOB : Intern - Siemens Medical - Malvern, PA
JOB : Internships - Thomson Research - Burbank CA
CFP : IJCV special issue on Probabilistic Models - 21JUL2008
CFP : AVSS 2008 - Sante Fe, NM - 02MAR2008
CFP : IVC Special Issue - 31AUG2008
CFP : CVPR WS on 3D Face Processing - Anchorage, AL - 15MAR2008
CFP : Call for chapter proposals on Behavioral Biometrics - 30APR2008
CFP : 1st IEEE Intl WS on Vision of the Unseen - Alaska - 20MAR2008
CFP : CVPR WS Object Tracking - Alaska - 15MAR2008
CFP : IEEE ML for Signal Processing - Mexico - 05MAY2008
CFP : 8th Nordic Signal Processing Symposium - Denmark - 28FEB2008
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From: "Hennessy, Steve" <shen...@logostech.net>
Subject: JOB : CV staff - Airborne Motion Imagery Technology - USA
Full Time Listing
Contact, Steve Hennessy, mailto:shen...@logostech.net
Logos Technologies ( http://www.logos-technologies.com ) seeks
candidates with Computer Vision, Image Understanding and/or Image
Processing expertise to design, develop and integrate algorithms and
systems for processing and exploitation of airborne motion imagery.
Airborne imaging systems (visible, color, spectral, or infrared) may be
conventional video systems (collecting 640 x 480 pixel frames at 30 Hz,
for example) or wide area Persistent Surveillance (PS) systems that
capture much larger frames (8 k-pixel x 8 k-pixel) at 0.5- 2 Hz
rates.
Logos Technologies seeks candidates with experience in algorithm and
system design, prototyping, development, and evaluation in areas such
as:
o Advanced motion imagery compression techniques - block-based, mosaic-based,
and object-based;
o Automatic multi-image registration for motion stabilization;
motion-based 3D recovery and segmentation; compression and moving
object detection and tracking;
o Invariant feature extraction and matching;
o Object detection, modeling and identification;
o Moving object detection, identification and tracking;
o Multiple hypothesis object tracking;
o Activity modeling, detection and recognition;
o Multi-sensor fusion for object recognition and tracking
o Development of real-time Motion Imagery processing algorithms
for embedded airborne systems or ground-based exploitation systems.
Logos Technologies is seeking multiple candidates with different levels
of experience in this area:
o Senior Scientist/Engineers to lead research, development, test
and evaluation of advanced motion imagery processing algorithms and
systems. This candidate should have an advanced degree and extensive
R&D experience (5-8+ yrs) in areas related to Motion Imagery
Processing.
o Scientists and Engineers who can contribute to and lead the
design and development of advanced Motion imagery processing
algorithms and systems. The candidate should have a BS or MS and 3-5+
years of proven design/implementation experience in areas related to
motion imagery processing.
o Advanced Algorithm Developers who have designed and developed
advanced motion imagery processing and exploitation Systems. The
candidate should have a BS or MS and 1-2 years of proven
design/implementation experience in areas related to Motion Imagery
Processing.
Candidates should have sound experience in algorithm and system
development tools such as Java, C/C++, IDL, Matlab, etc. Experience with
requirements-driven software engineering processes is desirable.
US Citizenship is required. Security clearances are highly desirable.
All candidates should be eligible for and willing to apply for a US
government security clearance. Opportunities are available in the
Washington DC, Raleigh NC, and San Francisco Bay areas All candidates
should be eligible for and willing to apply for a US government security
clearance.
------------------------------
From: "Page, Kristin" <kristi...@cognex.com>
Subject: JOB : Principal Vision SE - Cognex Corp - Natick, MA
08-R-06
Principal Vision Software Engineer
Core Vision Technology
This group is seeking engineers to lead core vision technology
development in industrial machine vision as well as those who have the
basic skills and interest in working with a development team. Industrial
machine vision technology is used for analyzing images (intensity,
color, and Z-data) to detect objects, make measurements, inspect for
defects, and to read encoded data. Technology development is constantly
underway to expand areas of application, improve performance, discover
new algorithms, and to make use of new hardware and processing power.
Development is done in C and C++. Engineers in this group typically
have experience with image analysis, machine vision, or signal
processing.
JOB SUMMARY:
This position is a team member of the Core Vision and Applications
group, responsible for designing and developing the most sophisticated
Machine Vision software in the world. Our software is used to align,
measure, recognize, and inspect all types of products from computer
chips to chocolate chip cookies. Our systems are used in many different
industries including consumer goods, automotive, pharmaceuticals, and
electronics. Depending on experience level, opportunities exist for a
team leadership role.
Essential Functions:
1. Imagine, design, develop, debug, and code C and C++ machine vision
software.
2. Build efficient, real-time software and related libraries to run either
on a PC or DSP.
3. Invent, implement and optimize new vision algorithms.
4. Requires interaction with internal or external customers.
Knowledge, Skills, and Abilities:
1. Strong software engineering skills, and experience in production
coding.
2. Experience with signal processing and/or computer vision preferred especially
with 3-dimensional imaging and/or data sets.
3. Industrial programming experience desirable.
4. Experience in applications of computer vision in manufacturing also of
interest.
5. Creative, motivated and looking to work hard for an aggressive growth
company.
Minimum education and work experience required:
1. MS or PhD from a top engineering school in EE, CS or equivalent
2. 8+ years experience in relevant, high-tech, industrial jobs coding in
C or C++=
------------------------------
From: Renaud Keriven <ker...@certis.enpc.fr>
Subject: JOB : Professor / Associate Professor - Ecole des ponts - Paris
Original offer: http://www.enpc.fr/certis/positions.html
Full text:
Created in 1747, Ecole des ponts is the oldest French "Grande Ecole".
Its Computer Science lab, the Certis, works on both Computer Vision
and on Machine Learning. The Certis is considering the recruitment of
two professors / associate professors, one in each of these fields.
The Certis is looking for candidates willing to develop an independent
and creative research program in this field. We expect the successful
candidate to provide high-quality research ranging from the design of
new algorithms to the theoretical study of learning algorithms.
Concerning the position in Machine Learning, preference will be given to
candidates with high-level theoretical skills and interest in applying
their expertise to Computer Vision problems, such as scene
understanding, object recognition and multi-view stereovision.
As a successful candidate, you will benefit from the very active Paris
community, and from outstanding salaries, depending on your expertise.
There is no special teaching requirement.
------------------------------
From: John Oliensis <olie...@cs.stevens.edu>
Subject: JOB : Faculty position - Stevens Inst of Tech - Hoboken, NJ
The Computer Science Department at Stevens Institute of Technology
invites applications for one or more faculty positions in the following
areas: machine learning (with applications that would complement our
current strengths in vision/graphics, security/privacy, programming
languages, and networking); secure systems and cryptography;
computational systems biology; experimental software engineering; and
networking. Outstanding applicants in other areas may also be
considered. Hiring is likely to be at the assistant professor level,
although outstanding candidates at other levels may be considered.
Applicants are expected to have a Ph.D. in Computer Science or a closely
related field.
Stevens Institute of Technology is a private university located in
Hoboken, New Jersey. The 55-acre campus is on the Hudson river across
from midtown Manhattan within a few minutes from NYC via public
transportation. Hoboken is a small upscale urban city, the residence of
New Jersey's governor, and the residence of choice for many
professionals working in NYC. Faculty live in Hoboken, NYC, and in
bucolic suburban communities in Northern New Jersey along commuter train
lines to Hoboken and NYC. Stevens' location offers excellent
opportunities for collaborations with nearby universities such as NYU,
Princeton, Columbia, and Rutgers/DIMACS as well as industrial research
laboratories such as Bell Labs, AT&T Labs, IBM Research, Google New
York, Siemens, and the Sarnoff Corporation.
Applications should be submitted electronically at
http://www.cs.stevens.edu/Search . Applications should include a
curriculum vitae, teaching and research statements, and contact
information for three references. Candidates should ask their
references to send letters directly to the search committee. Text or
PDF are strongly preferred for all application materials and reference
letters. Further information is provided at the web site.
Stevens is an Affirmative Action/Equal Opportunity employer.
------------------------------
From: "Hieu Nguyen" <hi...@utopiacompression.com>
Subject: JOB : 3D Visualization Scientist - UtopiaCompression - LA, CA
Image Processing and 3D Visualization R&D Scientist
COMPANY BACKGROUND
UtopiaCompression Corporation (UC) is a rapidly growing, High Tech
company with core competency in computational intelligence developing,
and marketing a range of intelligent technologies and products
including: content-based image/video and text compression; data mining
and knowledge discovery; 3D object/scene modeling; fusion and
visualization with a host of applications such as Geographic Information
Systems and medical imaging; and autonomous object avoidance and path
planning.
UC's mission is to: (i) Produce superior and innovative products with
significant commercial potential and broad economic and societal
benefits, (ii) Deliver substantial return on investments and (iii)
Create exceptional job opportunities and work environment to attract and
retain the best available talent. The vision of UC is to expand the
company into a multi-division corporation focused on high-growth, and
synergistic and interrelated intelligence-based technology areas and
markets. UC team has performed significant research and development in
artificial intelligence, machine learning, 2D/3D image
compression/modeling, intelligence-based structured text (e.g., XML,
HTML) compression and mining, object/pattern recognition, visual
knowledge discovery, 3/4D scene modeling and recognition/classification,
single and collaborative autonomous vehicle planning, and airborne
networking.
UC's compression technology was recognized as one of the top emerging
technologies by the National Institute of Standards and Technology
(NIST), and was the recipient of the prestigious ATP award. Since 2003,
UC continues to win multiple Phase I and II government contracts (from
DOD, DHS, NASA, NSF and DOE) to research and develop solutions based on
UC competencies.
JOB REQUIREMENTS
A Ph.D. in computer graphics/science, electrical engineering,
mathematics/statistics, or other related areas from a well recognized
university is highly preferred, although a strong candidate with an M.S.
and significant research and industry experience in advanced computer
graphics and image processing will also be considered. Industry
experience with outstanding accomplishments is highly preferred. US
residents are preferred and strongly encouraged to apply. Competitive
compensation is offered for candidates fully meeting UC requirements.
UC offers excellent benefits which include medical, dental, vision,
stock option plan, accrued vacation time and a creative team work
environment.
The ideal candidate will be thoroughly versed in recent research and
methods in the areas of computer graphics, visualization, and image
processing, particularly state of the art in 3D urban scene modeling and
interactive visualization, and should have expertise in advanced image
processing and visualization technologies and have familiarity with GIS
(geographic information system) related image processing techniques, as
well as a proven education/work track record, for most of the technical
expertise described above.
The candidate is also required to be a visionary, highly creative
problem-solver capable of proposing novel solutions to multiple problems
in parallel and of guiding R&D engineers in developing and implementing
solutions. The candidate will collaborate closely with other R&D
scientists and engineers in developing and implementing solutions
efficiently. Candidates with industry and R&D experience in one or more
industries (especially military/defense, homeland security, security &
surveillance, medical imaging, media & entertainment or wireless) are
highly desirable.
JOB DESCRIPTION
UC is actively developing highly innovative and nontraditional 2D and 3D
image processing, including 3D urban scene modeling, interactive
visualization, GIS image classification, segmentation and registration.
The sought after candidate will be an integral part of the team,
establishing and extending in-depth knowledge and expertise in
scientific/technical/product aspects of the image processing, 3D
modeling and visualization techniques for various projects at UC.
The ideal candidate will:
1. Perform research, design, development, testing, and prototyping
of advanced algorithms and software for the following:
- Image processing for automatic feature extraction (such as building
footprint, road network, vegetation areas, etc.)
- Deriving 3D building models from 2D images (such as LiDAR, Ortho-rectified
aerial photo, Oblique imagery, etc.)
- 3D urban modeling (including terrain, multi-story buildings, etc.
- 2D/3D registration and fusion
- 3D visualization of dynamic urban scenes
2. Have familiarity and working experience with state-of-the-art GIS
image processing, 3D modeling, rendering and visualization
techniques.
3. Be fluent in software design, analysis, and development using
C++, C and MATLAB programming environment. Familiarity with CAD design
and working experience with 3D modeling and visualization software, and/or
ESRI software/products is a plus.
4. Provide subject matter expertise: establishing in-depth knowledge
and suggesting directives for further progress on UC's computer
vision technologies.
5. Provide technical assistance and guidance: preparing proposals,
reports, and presentations for internal and external sources such as
government agencies and business partners.
Contact Information
Please send your resume and cover letter to:
Ms. Emily Murdock, UtopiaCompression Corporation
mailto:em...@utopiacompression.com
Tel 310-473-1500 x101
UC website: http://www.utopiacompression.com
------------------------------
From: "Andrew Stoddart" <andrew....@omg3d.com>
Subject: JOB : CV Scientist - OMG plc / Vicon Motion Systems - Oxford UK
Computer Vision Scientist
OMG plc is a leading technology company working in motion capture,
camera tracking and a variety of video analysis applications. The OMG
subsidiary companies Vicon, 2d3 and Yotta DCL sell products into a
variety of markets including medical, visual effects, design, VR, sports
science and the mapping industry. In recent years Vicon and 2d3 products
have been used in almost every major feature film and many games and TV
commercials. The company has offices in Oxford, LA & Denver.
A computer vision scientist is sought to join the Vicon Research Unit to
work on research projects in the Oxford office.
Job Description
* Development of advanced computer vision algorithms for use on
customer problems.
* Engineer algorithms in C++ within a large system of algorithm code.
* Support the development of highly interactive Windows products.
* Support the commercial and development activities of Vicon.
* Salary GBP 30K - GBP 37K.
Requirements
* Masters or PhD in Computer Science or Engineering preferably
with some exposure to Computer Vision.
* Experience of developing large algorithm architectures in C++.
* Experience of libraries such as stl, OpenCV, vxl, Intel IPP.
* Experience of software optimization and profiling.
Attributes
* Good communication skills, motivated team player.
* Responsible and self directed on short and medium term goals
* Flexible: an ability to recognize the need to do something and do it
Company
* Oxford based, high tech company
* Relaxed and friendly culture
* Worldwide markets with UK and US offices
The closing date is 30th March 2007.
To apply please send your CV by email to Andrew Stoddart,
mailto:andrew....@omg3d.com , http://www.omg3d.com
------------------------------
From: Jonathan Kofman [mailto:jko...@engmail.uwaterloo.ca]
Subject: JOB : Postdoc/Ph.D - Univ of Waterloo - Ontario, Canada
The Optomechatronics Laboratory at the University of Waterloo, Ontario,
Canada, invites applicants to apply for postdoctoral and doctoral
positions for highly motivated candidates in 3D imaging systems.
These exciting new opportunities are part of ongoing research in
real-time full-field 3D imaging systems. We are looking for candidates
with demonstrated skills in computer vision and image processing, and
C++ programming.
Experience in the following areas will be an asset: 3-D computer vision,
imaging / optical systems, metrology, machine vision, fringe projection,
phase-shifting techniques.
Please send a detailed curriculum vitae/resumé with details of your
relevant experience, skills, and references to: Dr. Jonathan Kofman,
mailto:jko...@engmail.uwaterloo.ca .
Contact Dr. J. Kofman for further details.
More information about the University of Waterloo can be found at:
http://www.uwaterloo.ca/aboutuw/index.php
------------------------------
From: Bahram Parvin <par...@media.lbl.gov>
Subject: JOB : Ph.D/PostDocs - Lawrence Berkeley National Lab - CA
Postdoc Positions are available to develop algorithms and software for
quantitative analysis of cell and tissue sections for high content
screening and structural biology. Some of the endpoints are imaged in
3D, which require full volumetric image analysis. These endpoints will
also be linked with genomic information for molecular profiling.
Applicants are required to develop (i) robust methods in segmentation,
(ii) multivariate representation of segmented results, or (iii) machine
learning methods for regression and classification. Applicants should
be fluent in Matlab and high performance programming languages, and have
an interest in life sciences. Knowledge of ITK, VTK, and SQL are also be
desirable. LBNL offers opportunities for initiating new imaging and
computational biology programs. Please send your CV to
mailto:B_Pa...@lbl.gov , and for an overview of the group activities,
visit http://vision.lbl.gov
------------------------------
From: Hanchuan Peng <pe...@janelia.hhmi.org>
Subject: JOB : Research Positions - Howard Hughes Medical - Virginia
Applications are invited for (a) postdoc or (b) research staff level
positions in Hanchuan Peng Lab ( http://research.janelia.org/peng/ ) at
Janelia Farm Research Campus, Howard Hughes Medical Institute. These
positions are related to image analysis, pattern recognition, data
mining, machine learning, and data visualization of large volume of 3D
biological imaging data of animal brains and neuronal structures. The
research projects will be several years, tackle several challenging, but
highly rewarding, problems of neuroscience and computer science. The
candidates should have a Ph.D. degree in CS, EE, or BME and strong
programming skills, and enjoy an interactive research environment.
The positions will be available immediately and renewable depending on
the performance. The compensation will be competitive, along with many
excellent benefits.
Applications (in Word, PDF or txt format only) should be emailed to
jfrc...@janelia.hhmi.org with the subject line "Postdoc/Staff
application - Peng Lab" and include (1) a curriculum vitae, (2) a brief
statement of research, (3) three best publications, and (4) the names
and addresses of three references (including phone numbers and email
addresses).
Short-listed candidates may be asked to make themselves available for
interview. Traveling expenses for interviewees will be covered.
The Janelia Farm Research Campus of Howard Hughes Medical Institute
(HHMI) is located on 689-parklike acres on the banks of the Potomac
River in Loudoun County, Virginia, just 30 miles from Washington, D.C.,
and about eight miles north of Dulles Airport. This campus has a
world-class research environment and an outstanding research team on
neuroscience, bioimaging, and computational biology. Information about
HHMI and Janelia can be found at http://www.hhmi.org/janelia .
------------------------------
From: James Coughlan <coug...@ski.org>
Subject: JOB : Post-doctoral Fellowship - Smith-Ketterwell - SF, CA
The Smith-Kettlewell Eye Research Institute (located in San Francisco,
CA) seeks a qualified researcher to join the Computer Vision Lab as a
post-doctoral fellow. The Computer Vision Lab, under the direction of
Dr. James Coughlan, is part of the Smith-Kettlewell Rehabilitation
Engineering Research Center (RERC), a group focusing on the development
of assistive technology and visual assessment for blindness and low
vision.
Research activities will concentrate on developing computer vision
algorithms for blind and low vision applications. Current applications
include detecting and reading signs in indoor and urban environments,
inferring the layout of traffic intersections and finding features such
as curbs and curb cuts. Many of these algorithms will be designed to run
in real time, and will be tested by blind and low vision users.
A Ph.D. in a computational field such as computer science, engineering,
physics or math is required, and the applicant must have experience in
computer vision. Proficiency in C++ is also required. Since the Computer
Vision Lab emphasizes the use of Bayesian methods, the applicant will
ideally have experience in probabilistic modeling and/or machine
learning. Willingness to learn programming on a camera cell phone
platform (such as Symbian C++) is also a plus.
The fellowship will be funded by the Institutional National Research
Service Award Program from the National Eye Institute (part of the
National Institutes of Health). Two years of funding are guaranteed, and
a third year is possible. ***Please note that US citizenship is required
to be eligible for this fellowship.***
Please contact Dr. Coughlan at mailto:coug...@ski.org if you are
interested in applying for the position. For more information about the
Computer Vision Lab, see http://www.ski.org/Rehab/Coughlan_lab/
------------------------------
From: "Verma, Ragini" <Ragini...@uphs.upenn.edu>
Subject: JOB : Post-doc - Univ of Pennsylvannia - Philadelphia, PA
Position for Post-Doctoral Researcher in Facial Expression Analysis
A postdoctoral position in the area of facial expression analysis
applied to neuropsychiatric disorders is immediately available at the
Section of Biomedical Image Analysis (SBIA), of the Department of
Radiology, University of Pennsylvania ( http://www.rad.upenn.edu/sbia ).
The successful candidates must have background in Computer Vision, Electrical
Engineering or Computer Science. The project will involve development of
methods in the broad area of facial expression analysis using videos and
3D surfaces (detection, tracking, manifold-based analysis, correlation with
clinical responses). No background in neuropsychiatry is expected. The candidate
should possess good programming skills (C, C++, Matlab) as well as good writing
ability.
SBIA is a dynamically growing medical image analysis group, including researchers
and collaborators from diverse fields and offers exciting opportunities to
researchers with interests in applying math, computer vision and engineering
knowledge and models to the rapidly growing biomedical imaging field. More
details about the group and project can be found on the website mentioned
above.
Please e-mail CV's to:
Ragini Verma, PhD, Assistant Professor
Section of Biomedical Image Analysis, 3600 Market street, Suite 380
Philadelphia, PA 19104
mailto:Ragini...@uphs.upenn.edu
------------------------------
From: "Toby Breckon" <toby.b...@cranfield.ac.uk>
Subject: JOB : Post-doc - Cranfield Univ - UK
Research Fellow/Officer - 3D Computer Vision & Image Analysis
School of Engineering
Cranfield University, UK
=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 explosives and weapons
related threats within 3D CT imagery of passenger baggage. This is a
collaborative project with a consortium led by the Home Office
Scientific Development Branch. Your work will involve the adaptation of
established CT segmentation algorithms from the medical domain towards
the task of improving current baggage visualisation and object/item
separation. In addition you will work on the application of machine
learning based techniques to investigate the automatic detection of
potential baggage threats. You will work as part of a
cross-organisational project and be expected to contribute to project
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, visualisation 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 and
some experience relevant to the 3D visualisation/recognition domain.
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 desirable. Prior experience is
essential in:
- programming (C, C++)
- computer vision, image processing or image analysis techniques
Additional 3D medical (e.g. CT, MRI) or industrial computer vision or
image analysis experience desirable but not essential. This appointment
will be for a fixed term of 24 months in the first instance, to commence
February 2008.
For an informal discussion please contact Professor Thompson, Head of
the Applied Mathematics and Computing Group, E: am...@cranfield.ac.uk or
Dr Breckon, Principle Investigator, E: toby.b...@cranfield.ac.uk.
Application forms and further details are available from the Human
Resources Department, Cranfield University, Cranfield, Bedford MK43
0AL.
E: h...@cranfield.ac.uk. W: www.cranfield.ac.uk/hr
Alternatively, telephone our 24 hour Recruitment Line on +44 (0)1234
750111 ext 2000 quoting reference number C/8009J.
------------------------------
From: Video Coding and Architectures research group <vca...@tue.nl>
Subject: JOB : Ph.D. and PostDoc positions - Eindhoven Univer - NL
ABOUT THE VIDEO CODING AND ARCHITECTURES GROUP
The Video Coding and Architectures research group
( http://vca.ele.tue.nl ) is part of the Signal Processing Systems
department at the Eindhoven University of Technology in the Netherlands.
The VCA group carries out long-term research on image-processing
algorithms and also applied research on video-processing hardware
architectures. Research topics include, among other, video analysis,
multiprocessor video systems, video segmentation, 3D scene
reconstruction, multi-view video compression and 3D video streaming.
RESEARCH PROJECT
Several research positions are available starting from 2008, in the Video Coding and
Architectures group, both at Ph.D. and post-doctoral level.
The Ph.D candidates and the post-doctoral research fellow will work in the framework of
the IGlance EU project jointly led with University of Eindhoven, INRIA Grenoble,
STMicroelectronics, Philips Applied Technologies, Philips 3D Solutions and SiliconHive.
The project focuses on the problem of acquisition, compression and rendering
of 3D/multi-view video.
In this context, the goal of the Ph.D. project is to investigate, develop and test
algorithms for:
- depth estimation and 3D video scene modeling,
- multi-view video compression, and
- implementation of 3D image processing and rendering using graphic processors.
For an overview of a related project, see http://vca.ele.tue.nl/demos/mvc/index.html
POSITION REQUIREMENTS AND APPLICATION
The ideal candidate should hold a MSc degree in computer science or
electrical engineering with emphasis on signal processing, image/video
processing, computer vision and good programming skills, preferably in C
or C++. For post-docs, experience in image processing and a good track
record of publications is a must.
Applications should be sent via email to Prof. Dr. Peter H.N De With and Yannick Morvan.
Contact information available at:
http://vca.ele.tue.nl/people/deWith.html
http://vca.ele.tue.nl/people/Morvan.html
Download pdf description of the vacancy at http://vca.ele.tue.nl/vacancies/IGlance.pdf
------------------------------
From: "XU, Dongrong" <x...@childpsych.columbia.edu>
Subject: JOB : Postdoc - Columbia Univ - NYC, NY
Postdoc Position, Biomedical Imaging, Columbia University, New York City
Jan 18, 2008
Position: Postdoc
Organization: Columbia University
Location: New York City, USA
Starting Date: 3/1/2008, or as early as possible
Duration: 2 years
A postdoc position funded by an NIMH grant is available at the Brain
Imaging Laboratory / Magnetic Resonance Imaging (MRI) Unit in the
Department of Psychiatry at Columbia University, for conducting
biomedical image processing and analysis of a multi-site schizophrenia
research project. The successful applicant will be trained and work
broadly in the MRI fields, but particularly in the area of diffusion
tensor imaging. This position needs to work with a multidisciplinary
team on MRI neuroimaging, and will have ample opportunities of writing
and publishing scientific papers.
Applicants must have a doctoral degree in engineering, such as
biomedical engineering, computer science and engineering, or in a
closely related discipline (e.g., mathematics, statistics, MRI physics,
etc.) Preference will be given to individuals with a background or
experience in the analysis of neuroimaging data sets. Good knowledge in
programming is required. Knowledge of computer graphics, popular
software platforms and image processing packages, such as OpenGL, SPM,
ITK/VTK, FSL, is preferred but not necessary. However, the successful
applicant should be willing and able to learn and work in these software
platforms. Moreover, this applicant should be willing to accept
supervision well.
Applicants should send in a cover letter, a complete curriculum vitae,
two representative publications, and names of 3 references.
Contact:
XU, Dongrong Ph.D. Assistant Professor
Columbia University, Department of Psychiatry
1051 Riverside Drive, NYSPI Unit 74, New York, NY 10032
Tel. 212-543-5495, Fax. 212-543-0522
mailto:dx2...@columbia.edu (email contact is preferred)
------------------------------
From: Birgit Moeller <birgit....@informatik.uni-halle.de>
Subject: JOB : PhD Studentship - Martin-Luther Univ - Germany
Institute of Computer Science - Martin-Luther-University
Halle-Wittenberg - Germany
We are looking for a young researcher to support our activities for the
analysis of biological images. Currently we are working with macro
arrays, 2D-PAGE images, and data in-situ hybridization of
mRNA-expression.
We require excellent capabilities in image analysis, and basic knowledge
in bioinformatics, or interest to get engaged with biological problems.
The research is to lead to a PhD in computer science or bioinformatics.
Furthermore, the candidate will be involved in teaching within the
bioinformatics and computer science programs of the institute. This
teaching obligation comprises four hours each week during termss Thus,
capabilities of the German language or the willignness to acquire these
are a prerequisite.
Starting date is intended to be April 2008 for an initial period of 3
years. Salary is according to 13 TV-L (Tarifvertrag fuer den
oeffentlichen Dienst der Laender). Interested candidates should submit
a letter of purpose indicating their area of interest, CV, potential
referees, further reference, potentially publications until February
29th to:
Prof. Dr. Stefan Posch, Institut of Computer Science
Martin-Luther-Universitaet Halle-Wittenberg
06099 Halle (Saale)
Further information (in German)
http://www.verwaltung.uni-halle.de/dezern3/AUSSCHR/07_390.htm
or contact
Prof. Dr. Stefan Posch, ++49 345 55-24728,
mailto:Stefan...@informatik.uni-halle.de
------------------------------
From: Neil Robertson <nrobe...@gmail.com>
Subject: JOB : PhD Prize Studentship - Edinburgh - UK
The Edinburgh Research Partnership ( http://www.erp.ac.uk ) is seeking
to recruit a PhD student in Computer Vision. This Prize studentship will
fund doctoral research in the Joint Research Institute in Signal and
Image Processing. The successful candidate will be registered at, and
graduate from, both Heriot-Watt and Edinburgh Universities.
The project will research novel methods for automatically sensing human
activity using pan/tilt/zoom cameras. This is a challenge which is of
particular interest in the surveillance domain but has application in a
wide range of scenarios including sports video analysis/interpretation.
Current work which exploits the pan/tilt/zoom capability of a camera has
enabled the sensor to react to detected changes in the world. By
contrast, this project will attempt to actively sense the scene to
gather information which is perceived a priori to be significant. The
successful candidate will be expected to undertake research which
encompasses some of the following technical challenges:
* Person tracking
* Learning and modelling normal activity
* Semantic interpretation of human behaviour
* Real-time pan/tilt/zoom control
Applicants should have, or expect to obtain at least a 2(i) Honours
degree in a relevant numerate discipline e.g. Computer Science, Physics,
Electrical and Electronic Engineering or Mathematics. Priority will be
given to applicants with a basic understanding and experience in writing
scientific software (MATLAB, C/C++) and a background in image processing
or computer vision.
The appointment is for 3 years starting as soon as possible between
March and October 2008. The successful candidate will be supported by a
tax-free stipend of =A312,600 per annum and all Home/EU University fees
will be paid. EPSRC nationality and residency rules apply (see
www.epsrc.ac.uk for details).
Informal enquiries should be made in the first instance to Dr Neil
Robertson ( mailto:n.m.ro...@hw.ac.uk ) or Dr John Hannah
( mailto:john....@ee.ed.ac.uk ).
------------------------------
From: William Smith <wsm...@cs.york.ac.uk>
Subject: JOB : PhD Studentships - Univ of York - UK
PhD Studentships in Computer Vision
Applications are invited for two fully funded 3 year PhD studentships in
the Computer Vision and Pattern Recognition group at the University of
York, UK. The research involved will be in the area of 3D face
appearance modelling, shape-from-shading and face recognition. The
successful applicant will be part of a team working to advance the state
of the art in 3D face processing in images.
Applicants must have at least a 2.1 degree (or equivalent) in Computer
Science, Electrical Engineering, Physics, Mathematics or a related
discipline. Previous experience of computer vision, image processing or
computer graphics is desirable. Good programming skills and a strong
mathematical background are prerequisites.
The studentship will cover fees (at UK/EU Level) and includes a stipend
(currently £12,600 per annum) and provision for conference travel. The
studentship is to start on or shortly after the 1st of April 2008.
The CVPR group is based in the Department of Computer Science. The
Department was awarded a 5* classification in the 1996 and 2001 Research
Assessment Exercises (RAE), and was one of just 3 computer science
departments to receive a 6* funding allocation in March 2003. The
Department also received an “Excellent” rating in the most recent
teaching quality assessment (TQA) and was awarded one of the 1996 Queens
Anniversary Medals for Higher Education.
Informal enquiries should be directed to Dr William Smith (email:
mailto:wsm...@cs.york.ac.uk, tel: +44 (0)1904 434733).
For more information on applying for a PhD studentship, please see:
http://www.cs.york.ac.uk/cvpr/apply.php or contact the Research Studies
Secretary, Ms Filomena Ottaway (mailto:fi...@cs.york.ac.uk , tel: +44
(0)1904 432721).
------------------------------
From: "Haering, Niels" <NHae...@ObjectVideo.com>
Subject: JOB : Intern position - ObjectVideo - Reston, VA
Have you published novel methods for low-level vision, object
recognition, event detection, or automatic calibration and
geo-registration? Have you exploited object, environment, task or
domain context to improve video analysis algorithms? Are you interested
in analyzing and understanding video, to protect infrastructure, to
improve building automation, or to warn highway traffic of delays or
dangers ahead? Are you eager to apply your knowledge to develop robust
commercial solutions? If you have at least four years of relevant
experience and these challenges excite you we would love to hear from
you.
For immediate consideration, please send your resume to
mailto:ni...@objectvideo.com .
ObjectVideo is an equal opportunity employer.
About ObjectVideo: ObjectVideo is the leading provider of video analysis
software for security, public safety, business intelligence gathering,
process improvement and other applications.
Originally founded in 1998 by world-renowned scientists and program
managers from the Defense Advanced Research Projects Agency (DARPA) and
headquartered in Reston, VA, ObjectVideo is a private company backed by
leading venture capital partners. The company employs 100+
highly-skilled professionals and is led by an experienced management
team. Nearly 40% of the company's research and development staff are
PhD's, known internationally for their research in the field of computer
vision.
ObjectVideo products are field-proven and currently covering more
perimeter miles than any intelligent video software product. The company
markets and sells its products through a Video Intelligent Partner (VIP)
network of OEMs, resellers, and leading security solution integrators.
Currently ObjectVideo has more than 193 paid customers with deployments
in 250 locations across 19 countries, providing intelligence on more
than 700,000 video channels.
------------------------------
From: "Shan, Caifeng" <caifen...@philips.com>
Subject: JOB : Student Internship - Philips Research - Eindhoven, NL
Internship positions are immediately available in the Video Processing &
Analysis (VPA) group at Philips Research, Eindhoven, The Netherlands.
The interns will work on projects related to computer vision (for example,
people localization & tracking, person identification, human motion analysis,
gesture recognition, facial expression recognition, event detection, activity
analysis, camera network, etc). Different focus options are possible depending
on the interests and strengths of the candidates. The interns will work with
other talented researchers in a stimulating environment, and will be encouraged
to think out of box and find innovative solutions for real-life problems.
The candidates have to be available for a period of at least six months.
The work of the internship is expected to be written as a technical report.
Publication at top conferences is highly encouraged.
Requirements:
- Self-motivated Master or PhD student
- Proven background in related areas - Computer Vision, Pattern Recognition,
Machine Learning, Image / Video Processing - are highly desired
- Excellent programming skills - Matlab or C/C++
- Proficiency in English
The VPA group is developing algorithms for a wide range of applications.
For almost two decades, the group has been the cradle for various award-winning
innovations in the field of consumer TV, such as Digital Natural Motion (TM)
and Pixel Plus (TM). Currently, the group contributes to a large variety
of video-oriented applications in the field of TV, Medical Imaging, 2D/3D
Displays, Computer Vision, Human-Computer Interaction, Mobile Communication
and Microscopy. To be successful in such a wide domain, the group cooperates
with many other groups in Philips Research, as well as with various external
parties.
Philips Research ( http://www.research.philips.com ) is the source of many
advanced developments in Healthcare, Lifestyle and Technology. Building on
over 90 years' experience in industrial research and our world-leading patent
position, we're dedicated to meaningful innovations. In the healthcare domain,
we are enhancing imaging and monitoring systems, as well as exploring innovative
personal healthcare. In lifestyle, we're helping people see, hear, remember
and share content, anywhere and anytime. Our vision focuses on simplicity,
making technology an integral - but invisible - part of everyday life.
Please forward your CV, including your available dates, to
mailto:Caifen...@philips.com (please put "Internship Application" in your
email subject).
------------------------------
From: "Dewan, Maneesh (MED US)" <manees...@siemens.com>
Subject: JOB : Intern - Siemens Medical - Malvern, PA
The Computer-Aided Diagnosis R&D Group at Siemens Medical Solutions USA
has multiple openings for summer interns. We are specifically interested
in motivated Ph.D. students in the areas of computer vision, medical
image processing, pattern recognition and machine learning.
The CAD group at Siemens Medical Solutions USA is a young group
consisting of more than 150 employees world-wide. It delivers
trend-setting computer vision, pattern recognition and machine learning
software applications for clinicians and other medical professionals.
As an intern, you will join CAD's team of scientists in solving exciting
and challenging research problems with real-world medical applications.
The ideal candidate should major in computer science, electrical
engineering, biomedical engineering or a related field. Prior experience
in medical image analysis is a plus, but not required.
You will be expected to spend at least 12 weeks; however, there is much
flexibility in the starting and finishing dates (non-summer and longer
internships are also considered). We provide competitive salaries and
also strongly encourage all interns to publish.
In order to apply, please follow these steps:
- Email your CV to the address below
- Briefly (e.g., in half a page) tell us about what research
and application areas you would prefer to work on and during what dates
you wish to join
- Request one letter of recommendation (preferably from your
advisor) to be emailed to us
Email the above to mailto:yiqian...@siemens.com , with the subject "CAD
R&D Internships".
Please feel free to send emails if you need further information about
the internships.
------------------------------
From: "Zhang Tao" <Tao....@technicolor.com>
Subject: JOB : Internships - Thomson Research - Burbank CA
Thomson Research, Burbank CA, conduct research in a wide variety of
areas involving computer vision, image processing, and security and has
multiple openings for summer internship position.
The positions involve Research and Development in advanced 3D
reconstruction, camera calibration and augmented reality. Interns will
work as part of a small team on research problems involving enhancing
the visual quality and the accuracy of the reconstruction process.
The successful candidate should be advanced in their PhD studies, but
graduate students with exceptional skill levels will also be strongly
considered. Candidate should have good experience in at least one of the
following fields: 3D computer vision, depth map extraction, feature
detection and tracking, multiview geometry, camera calibration and
augmented reality. 3+ years programming experience in C++/MATLAB
required.
Start time: May/June 2008
Period: 3-5 months
For consideration, please send a cover letter and CV to:
mailto:tao.z...@thomson.net
------------------------------
From: Bill Triggs <Bill....@imag.fr>
Subject: CFP : IJCV special issue on Probabilistic Models - 21JUL2008
CALL FOR PAPERS
Special Issue of the International Journal of Computer Vision on
PROBABILISTIC MODELS FOR IMAGE UNDERSTANDING
Aims and scope: Probabilistic models provide a compelling framework for
describing image and video content at levels ranging from small image
patches to overall scene and motion structure. We solicit papers
describing the development, learning and use of principled probabilistic
models for image understanding. Relevant topics include (but are not
limited to):
- low level models (image patches, random fields),
- object recognition / detection,
- structural models / image parsing,
- structured models of human motion,
- probabilistic frameworks for image representation,
- efficient algorithms for learning such models,
- frameworks and datasets for evaluating such models.
We are particularly interested in models:
- that incorporate rich structure (deep, graphical, hierarchical,
compositional,...) or that are suited for use within structure-based
frameworks,
- or that minimize the amount of labelled data required for learning
new classes, by exploiting latent structure or reusing components
or priors.
We will consider submissions describing specific models, position
papers and evaluation papers:
- Papers on specific models should either give enough detail for a
moderately skilled graduate student to reimplement the exact model
used and reproduce the experimental results, or provide a full
description or an open source implementation as supplementary
material. They must also include a discussion of competing
approaches and comparative testing that establishes the advantages
and limitations of the approach presented.
- Position papers should clearly present the arguments for and against
one or more generic approaches, supporting these with indicative
experimental results, comparative tables and thorough discussions of
the existing literature.
- Evaluation papers should describe a benchmark or challenge problem,
motivating it by discussing limitations of existing models or
benchmarks or debates regarding performance that need to be
resolved, presenting the detailed evaluation methodology and the
dataset (coverage, collection, labelling), and presenting a
representative sample of benchmark results for baseline methods or
recent methods from the literature. The benchmark and dataset must
be non-proprietary and publicly available so that other authors can
test their own methods on it. If possible open source
implementations of the baseline models and feature sets should also
be made available.
Submissions: Papers following the usual IJCV author guidelines should
be submitted to the IJCV website http://visi.edmgr.com , choosing the
Special Issue article type "Probabilistic Models for Image
Understanding". Regular journal articles (25 pages) are preferred,
but short papers (10 pages) and well-balanced surveys (30 pages) will
also be considered. All submissions will be subject to peer review.
Submissions will be returned without review if we feel that they are not
well aligned with the goals of the special issue. If you are unsure
whether an intended submission is in scope, send an abstract or a draft
to the editors of the special issue at least one month before the
submission deadline.
Submission deadline: July 21 2008
Scheduled publication date: Summer 2009
Guest editors:
- Bill Triggs, mailto:Bill....@imag.fr
- Chris Williams, mailto:ck...@inf.ed.ac.uk
------------------------------
From: <avss...@cs.uh.edu>
Subject: CFP : AVSS 2008 - Sante Fe, NM - 02MAR2008
CALL FOR PAPERS
IEEE 5th International Conference on Advanced Video
and Signal-based Surveillance
(AVSS 2008)
http://www.cpl.uh.edu/avss2008
mailto:avss...@cs.uh.edu
September 1-3, 2008
Hotel La Fonda, Santa Fe, NM
PAPER SUBMISSION DEADLINE: March 2nd, 2008
The submission page is now open!
AVSS is the IEEE conference series on video and signal based
surveillance. AVSS was started in 1998 (Genoa, Italy). Following
meetings were held in 2001 (Kingston, UK), in 2003 (Miami, USA), in 2005
(Como, Italy), in 2006 (Sydney, Australia) and in 2007 (London, UK). The
AVSS 2008 event will be held in Santa Fe, New Mexico, USA. AVSS is a
forum of reference for the field and offers the opportunity to meet and
foster collaboration. AVSS has a tradition of participation from the
worlds of research, industry, and relevant government agencies. The
Conference focuses on underlying theory, methods, systems, and
application areas. It includes, but is not limited to the following
topics:
- Tracking
- Activity Monitoring
- Biometrics
- Object Detection and Recognition
- Reconnaissance
- Signal Surveillance/Processing
- Applications/Systems/Tools
- Sensor Networks/Fusion
- Performance Evaluation
- Non-visual Imaging
- 3D Surveillance
- Behavior Analysis
- Theoretical Foundations
- Data Mining/Handling
- Privacy Issues
SPECIAL FEATURES
1. The conference features a track of "open review submissions."
Submission under this category is voluntary. The names of the authors
will be known to the reviewers and the names of the reviewers will be
known to the authors. This entails that the reviewers will write
civil, thorough, well-documented, and constructive reviews. Accepted
papers will be revised per the reviewers' comments to the extent
possible. The final papers will be published along with the reviews
as an addendum. A special issue of a major journal will be
commissioned to publish selected articles from this effort. Oral
sessions featuring papers that went through the open review process
will include dialog between authors and reviewers. The aim is to
bring the dialectic back in science.
2. All authors are encouraged to submit videos along with their papers.
3. Poster papers will be advertized by the authors in 1 minute plenary
"madness" talks at the beginning of each day.
4. A Government session will be organized where program managers from
all major funding agencies will outline the current and future research
agendas.
Paper submission: Full length-papers, limit 8 pages in length are
solicited. Papers will be accepted only by electronic submission at
http://www.cpl.uh.edu/avss2008
CONFERENCE COMMITTEE:
General chairs:
Mohan Trivedi, University of California, San Diego Bir Bhanu,
University of California, Riverside
Program Chairs:
Ioannis Pavlidis, University of Houston
Ioannis Kakadiaris, University of Houston
Government Chair:
Andrew Ryan, Department of Defense
Industrial Chair:
Jens Rittscher, GE Global Research
The conference is organized by the Computational Physiology Lab
(University of Houston). Further information can be found at:
http://www.cpl.uh.edu/avss2008
This conference is sponsored by the IEEE Computer Society PAMI Technical
Committee and by IEEE Signal Processing Society.
------------------------------
From: Bogdan Raducanu <bog...@cvc.uab.es>
Subject: CFP : IVC Special Issue - 31AUG2008
Image and Vision Computing Journal - SPECIAL ISSUE on
Online Pattern Recognition and Machine Learning Techniques for
Computer-Vision: Theory and Applications
Guest editors: Bogdan Raducanu, Jordi Vitrià and Ales Leonardis
AIM & SCOPE
In real life, visual learning is supposed to be a continuous process.
Opposite to this, in machine vision, learning has been so far considered
in a limited and isolated way. Most of the nowadays approaches, with
very few exceptions, require the intervention of the human operator to
collect, segment and store hand-picked data and train pattern
classifiers with them. However, for real world scenarios, it is unlikely
to know beforehand the number of total classes or the exact number of
instances per class. There is a recent trend in pattern recognition
represented by online learning approaches, which treat to continuously
update the data representation when new information arrives. Starting
with a minimal set, the initial knowledge is expanded, by incorporating
incoming instances, some of them which have not been previously
available or foreseen at the application creation stage. An interesting
characteristic of this strategy is that the train and test phases take
place simultaneously. Given the increasing interest on this subject, the
aim of this special issue is to be a landmark event in the development
of online learning techniques and their applications with the hope that
will capture the interest of a wider audience and will attract even more
researchers.
TOPICS COVERED
Topics of interest include, but are not limited to the following:
- feature extraction and representation
- incremental/decremental learning strategies
- online classification
- unsupervised clustering
- novelty detection
- knowledge discovery
- optimal data representation to manage large datasets
- extraction and creation of semantic content from data
- contextual representation and reasoning
- developmental architectures
- modelling of cognitive processes
SUBMISSIONS
Manuscripts should be prepared according to the instructions of the “Guide
for Authors” section of the journal
found online at: http://www.elsevier.com/locate/imavis and the submission
should be made online at the journal website.
When making a submission authors should select “OPRMLT Special Issue” on the