VISION-LIST digest 28.1

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Mar 8, 2009, 2:59:15 PM3/8/09
VISION-LIST Digest Sun Mar 08 11:32:41 PST 2009 Volume 28 : Issue 1

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Today's Topics:

Q&A : Mammographic Image Analysis Homepage
JOB : Rsearch Staff members - HRL Labs - Malibu, CA USA
JOB : Faculty position - Univ of Adelaide - Australia
JOB : Academic post - Univ of Edinburgh - UK
JOB : Tenure Track Position - Univ of Leeds - Leeds, UK
JOB : Biomedical image analyst - Univ of Penn - PA, USA
JOB : Postdoc - CNRS-Pierre Fabre - FRANCE
JOB : Postdoctoral Position - Univ N Carolina - NC, USA
JOB : Postdoc Position - ISAE - FRANCE
JOB : Postdoc position - Centre de Morph - FRANCE
JOB : Postdoc - Disney Research - Pittsburgh, PA USA
JOB : Postdoctoral researcher - McGill University - Montreal, CANADA
JOB : 2 Open PhD Positions - Univ of Heidelberg - GER
JOB : EngD Research Studentship - SLI Institute - UK
JOB : 2009 Summer Research Intern - Intuitive Surgical - Sunnyvale, CA USA


From: Mislav Grgic <>
Subject: Q&A : Mammographic Image Analysis Homepage that we recently developed. Since this kind
of page does not exist and we believe that mammographic image analysis
is an important research area, we wanted to give prospective
researchers a place to start on the Internet. Materials currently
published on the web-site are what we believe every researcher in this
area should read. Web-site is designed to be a portal, so you will
notice numerous links to other research groups, links to relevant
journals, books, databases etc. Another issue also worth mentioning
is that this is a non- commercial, purely academic
web-site. Hopefully, this effort will increase the number of
researchers in this area and improve the state-of-the-art in
mammographic image analysis.

Please feel free to inform all your colleagues who might be interested
in this web-site. If you like the web-site yourself, please feel free
to put a link to it on your web-page as well.

Besides, we would be most grateful if you could send us any
comments, suggestions and corrections that could improve our
Mammographic Image Analysis Homepage.

Finally, it is our pleasure to inform you that we have also
established a Mammographic Image Analysis Research Community
newsgroup. It can be reached here:

or through our Mammographic Image Analysis Homepage at:

We hope that you will find this kind of communication useful and that
this initiative will help researchers exchange ideas and learn from
each other. Students and researchers new in the field are also
encouraged to post their questions on this newsgroup and thus
hopefully get help from more experienced colleagues. Like the
Mammographic Image Analysis Homepage itself, this newsgroup is
intended to be strictly academic and non-commercial. Please join this
group and let's make together a strong virtual community!

Best regards,

Prof. Mislav Grgic, Ph.D.
Kresimir Delac, Ph.D.

Jelena Bozek, B.Sc.

Prof. Rangaraj M. Rangayyan, Ph.D.


From: "Kim, Kyungnam (Ken)" <>
Subject: JOB : Rsearch Staff members - HRL Labs - Malibu, CA USA

Research Staff Member - Computer Vision (0921A)

Education Desired: Ph.D. in EE, Computer Science, Applied Math, or related fields

Essential Job Functions: Primary job function is to perform R & D in
computer vision. Tasks will include the development, simulation,
evaluation, and implementation in software of computer vision
algorithms applied to a variety of applications. Additional job
functions include solving customer problems, writing invention
disclosures, publishing papers, briefing customers, and assisting in
marketing HRL expertise.

Experience Desired: Research experience in one or more of the
following areas: computer vision, image processing, 2D and 3D object
recognition, machine learning, automated reasoning. Application of
computer vision techniques to autonomous systems, robotics,
surveillance systems, or target recognition. Experience developing
innovative solutions based upon the application of relevant research
results from a wide variety or sources.

Knowledge Desired: Background in one or more of the following areas:
computer vision, image processing, pattern recognition, machine
learning. Familiarity with C, C++, JAVA, and/or Matlab

Essential Physical/ Mental Requirements: Good communication (verbal
and written) skills, activeparticipation in R & D team activities is

Special Requirements: Security clearances may be
required. U.S. citizen or permanent resident status required.


Research Staff Member - Bio-Inspired - 0921B

Education Desired: Ph.D. in EE, Computer Science, Applied Math,
Electrical Engineering, Computational Neurobiology or related fields.

Essential Job Functions: Primary job function is to develop
neuro-inspired models and algorithms for sensory (particularly visual)
processing, navigation, motor control, memory, and learning. Tasks
will include the development, simulation, evaluations, and
implementation of neuromorphic algorithms applied to a variety of
applications. Additional job functions include solving customer
problems, writing invention disclosures, publishing papers, briefing
customers, and assisting in marketing HRL expertise.

Experience Desired: Research experience in one or more of the
following areas: Neurobiological modeling of vision, audition,
control, language, memory, learning or cognition; building neuro or
biologically inspired cognitive systems (software and hybrid
software/hardware) with applications to robotic control, navigation,
and visual scene analysis; neuromorphic engineering and construction
of brain-based device; machine learning. Experience developing
innovative solutions based upon the application of relevant research
results from a wide variety of sources.

Knowledge Desired: Required: Background in brain modeling and
simulation, computational neuroscience, cognitive modeling; machine
learning; strong programming skills, particularly proficiency with C,
C++, JAVA, and/or Matlab.

Essential Physical/ Mental Requirements: Good communication (verbal
and written) skills, active participation in R & D team activities

Special Requirements: U.S. citizen or permanent resident status required.


Research Staff Member - Math Based Info Processing -0921C

Education Desired: Ph.D. in Applied Math, EE, Computer Science or related fields

Essential Job Functions: Primary job function is to apply modern
mathematical algorithms, analysis, and modeling techniques to problems
and applications in signal processing, computer vision, data mining,
information security, machine learning, and neuromorphic
computing. Tasks will include the development, simulation, evaluation,
and implementation of algorithms and models. Additional job functions
include solving customer problems, writing invention disclosures,
publishing papers, briefing customers, and assisting in marketing HRL

Experience Desired: Research experience in one or more of the
following areas: modern mathematical theory/analysis applied to
problems in signal processing (e.g., wavelets, compressive sensing),
image/video processing (PDE, nonlocal means), data mining, information
security, machine learning, or neuromorphic systems. Experience
developing innovative solutions based uponthe application of relevant
research results from a wide variety of sources.

Knowledge Desired: Background in one or more of the following areas:
classical and modern applied harmonic analysis, linear and nonlinear
partial differential equations, numerical analysis, discrete
algorithms, combinatorics and combinatorial optimization, graph
algorithms, geometric algorithms, statistical theory and applications,
probability theory and applications, information theory. Familiarity
with C, C++, and/or Matlab.

Essential Physical/ Mental Requirements: Good communication (verbal
and written) skills, active participation in R & D team activities is
required. Able and willing to occasionally travel.

Special Requirements: Security clearances may be
required. U.S. citizen or permanent resident status required.


Kyungnam (Ken) Kim, Ph.D. Research Staff Member
HRL Laboratories, LLC, 3011 Malibu Canyon Rd. Malibu, CA 90265
(310)317-5024 | |


From: Anton van den Hengel <>
Subject: JOB : Faculty position - Univ of Adelaide - Australia

Applications are invited for a faculty position within the School of
Computer Science of the University of Adelaide.

The School of Computer Science resides within the Faculty of
Engineering, Computer and Mathematical Sciences at the University. It
has a strong research ethos and is internationally prominent in the
areas of Computer Vision, Distributed and High Performance Computing,
Evolutionary Systems, Formal Methods, and Software Architectures. The
School is committed to continued growth in research and teaching
activity and will be housed in a new building in 2010.

We are seeking an individual with the demonstrated ability to conduct
world-class research in the area of Computer Science. Candidates that
demonstrate a close alignment of their research with that of the
existing groups in the School (and/or can form collaborations more
widely within the University) will be strongly preferred. You will also
need to demonstrate that you are able to contribute to the teaching
programme and can inspire and nurture student interest in the Discipline.
return to top

Applicants should have:
* a PhD in Computer Science or a closely related discipline
* teaching experience demonstrating a commitment and success; or a
demonstrated capacity to develop the skills that enable effective and
inspirational participation in the teaching program of the school
* the ability to significantly contribute to the teaching and
administration of subjects (including curriculum development) within the
range of subjects offered by the school
* a high level of oral and written communication skills in English

For appointment as a Senior Lecturer (Level C), in addition to the
above, you should have a proven success in attracting research funding
from external sources.

For appointment as an Associate Professor (Level D), in addition to the
above, you should have the ability to take on leadership in research, as
well as leadership and significant administration roles in teaching, and
the proven success in attracting research funding from external sources.

The successful applicant will be appointed at an appropriate level
depending on qualifications and relevant experience

(Level B) $70,075 - $83,215 per annum.
(Level C) $85,837 - $98,982 per annum.
(Level D) $103,358 - $113,868 per annum.
Plus an employer superannuation contribution of 17% applies.

This fixed-term position is available immediately for a period of 3
years. Job Reference Number: 12166

For further information see

Professor Anton van den Hengel
Director, Australian Centre for Visual Technologies
School of Computer Science
University of Adelaide, Adelaide, SA 5005, Australia
Phone: +61 8 8303 5309, Fax: +61 8 8303 4366


From: Bob Fisher <>
Subject: JOB : Academic post - Univ of Edinburgh - UK

Informatics: Lectureship in Machine Learning

The School of Informatics of the University of Edinburgh invites
applications from outstanding candidates in any area of machine
learning (including computer vision/multimodal sensing, models,
algorithms and applications) who will strengthen Scotland's position
as an international research leader in informatics and computer

Recent investment by the Scottish Funding Council has enabled leading
researchers across Scotland, including Informatics at Edinburgh, and
groups and individuals at the Computer Science Departments of nine
other institutions, to establish the Scottish Informatics and Computer
Science Alliance (SICSA) . Where relevant,
candidates should relate their applications to the SICSA research
themes for securing, interfacing, modelling and engineering the
systems of tomorrow.

# Vacancy Reference: 3010479
# Department: Informatics
# Job Title: Lectureship in Machine Learning
# Job Function: Academic
# Job Type: Full Time
# Live Date: 17-Feb-2009
# Expiry Date: 20-Mar-2009
# Salary Scale: £36,532 - £43,622

Informal enquiries may be addressed to Prof Chris Williams
( )


From: Derek Magee <>
Subject: JOB : Tenure Track Position - Univ of Leeds - Leeds, UK

School of Computing
Tenure-Track Fellow in Computer Based Medical Image Analysis and/or

Closing date: Wednesday 22 April 2009 Job Ref: 314305

The Computer Vision and Visualisation and Virtual Reality research
groups within the School of Computing at the University of Leeds have
a long history of research in medical image analysis and
visualisation. The school was rated in the top 10 computing
departments in the UK in the recent RAE, with 80% of the School's work
confirmed as being internationally excellent and world leading.

You will be a computer scientist with a PhD and proven research track
record in medical image analysis and/or visualisation, with the
initiative to extend your current research portfolio through
collaboration with leading academics in both computing and the medical
sciences. You will be given access to the wide range of research
facilities available at Leeds (including substantial HPC/Grid
computing infrastructure) and the opportunity to collaborate with a
wide range of clinicians in the Leeds Teaching Hospitals NHS trust
which includes researchers in Radiology (including Interventional
radiology), cardiovascular medicine, Musculoskeletal medicine, in
addition to pathology.

We are looking for an exceptional Research Fellow for this 5-year
tenure-track appointment who is enthusiastic about working alongside
computer scientists and clinicians within 2D and 3D digital
histopathology image analysis and visualisation. The Section of
Pathology and Tumour Biology, part of the Leeds Institute of Molecular
Medicine, houses the largest centre in the UK for virtual slide
scanning with 6 Aperio slide scanners with associated IT
infrastructure including 50TB of storage. This technology has the
potential to bring about a revolution in the Pathology field, in a
similar manner to the introduction of digital radiology.

This post is funded by the Biomedical and Health Research Centre, a
strategic partnership between four science faculties of the University
of Leeds and the Leeds Teaching Hospitals Trust, promoting
multidisciplinary translational research across the University and
NHS. Working collaboratively with other leading scientists and
clinicians across a number of disciplines, you will make a significant
impact on the performance, stature and profile of translational
research at Leeds, while establishing an independent academic career,
supported by a structured mentoring programme.

The post is available immediately for a period of five years with the
expectation of progressing to an established academic post subject to
meeting probationary targets.

University Grade 8 (36,532 - £2,583 p.a.) depending upon experience and

Further information about the School of Computing can be found at: . Informal enquiries can be
made to Dr Derek Magee .

Further information on this opportunity, about the Leeds BHRC, and application
instructions can be found at .

To apply on line please visit and click on .jobs.

Application packs are also available from Amy Russell email:
tel:+44 (0) 113 3430420.


From: "Verma, Ragini" <>
Subject: JOB : Biomedical image analyst - Univ of Penn - PA, USA

A full-time position as image analyst is available at the Center for
Autism Research at Children=92s Hospital of Pennsylvania, in
collaboration with the Section of Biomedical Image Analysis (SBIA), of
the Department of Radiology, University of Pennsylvania. The
successful candidate must have a Bachelor's or Master's degree in
Electrical or Biomedical Engineering, or Computer Science, or related
field. Experience with medical images is a plus. The work will
involve applying, testing and extending image processing algorithms
and protocols on brain images. SBIA has been a dynamically growing
medical image analysis group (, including 24
researchers and many collaborators from diverse fields. The
successful candidate for this position will work between the two
groups on imaging projects related to autism. Please e-mail CV's to:
Ragini Verma, PhD, Assistant Professor, Radiology, UPenn
Section of Biomedical Image Analysis
3600 Market street, Suite 380, Philadelphia, PA 19104


From: Chantal ETIEVANT <>
Subject: JOB : Postdoc - CNRS-Pierre Fabre - FRANCE

A 2-year post-doc position available immediately :

Cellular phenotypic screen based on innovative image analysis

The UMR 2587 CNRS-Pierre Fabre (Centre de Recherche en Pharmacologie
Sante, CRPS) includes researchers from a public agency (CNRS) and a
private company (Pierre Fabre Laboratories, IRPF). It is located in
the Institute of Sciences and Technologies of Medicines of Toulouse
(ISTMT). Its main goal is the development of innovative research
projects allowing the discovery of new molecules and new
pharmacological targets acting on cellular division, mainly on
mitosis, in order to discover new anticancer therapies.

Job description : The candidate (male or female) will participate in a
research project whose aim is to set up a cellular phenotypic screen
based on innovative image analysis. The images will be obtained after
pharmacological treatments using multi-labelled human cancer cells and
automated microscopy acquisition. The goal is to establish a data base
of annotated phenotypes at the level of individual cells and of cell
population, a library of indexed reference phenotypic profiles and a
screening engine allowing the identification of new phenotypes raised
by pharmacological molecules or small interfering RNA (siRNAs). The
candidate will work under the responsibility of the manager of the
cellular pharmacology team of the UMR 2587. He (or she) will be in
charge of cell biological experiments, image acquisition processing
and data analysis, within the framework of comparative studies of cell
phenotypes induced by siRNA and small molecules directed against a
shared original target. He (or she) will also participate in the set
up and validation of the annotated phenotypic data base. Moreover, he
(or she) will work in tight relationships with the industrial partners
of the project and in close connection with the other researchers
involved in this project.

Professional requirements : The candidate must have a PhD and a
competence both in cellular biology and quantitative cellular imaging
(image acquisition and processing, data analysis). A good knowledge of
mitosis will be appreciated. The candidate will have to be autonomous,
rigorous, reactive and able to work in a team.

* This multi-laboratory research project is funded by the Direction
Generale des Entreprises (AAP R&D 2007). It is based on the
complementary expertises brought by the four associated partners:
cancer pharmacologists from IRPF, fundamental cell biologists from
CNRS, image and data processing engineers from ARMINES, Image
Processing Software Development skills from ADCIS.

Please send applications including a letter of motivation, a CV, and
names and contact informations of two referees.

Jean Edouard GAIRIN ( )
Chantal ETIEVANT ( )


From: "Dinggang Shen" <>
Subject: JOB : Postdoctoral Position - Univ N Carolina - NC, USA

A postdoctoral position in breast MRI analysis is available. The
successful candidate will be expected to develop novel enhancement
segmentation and classification methods for significantly improving
the specificity of dynamic MRI in detecting and diagnosing breast
cancer. Both a spatiotemporal registration method and an enhancement
segmentation method will be developed. Also, a novel enhancement
classification method for differentiating between benign and malignant
enhancements for both mass and non-mass enhancement cases will be

The successful candidate should have a strong background on Electrical
or Biomedical Engineering, or Computer Science, preferably with
emphasis on image registration, segmentation, and
classification. Experiences on deformable registration, adaptive
segmentation (i.e., graph cut), and non-linear classification are
highly desirable.

The successful candidate will be part of a diverse group including
radiologists, psychologists, physicists, biostatistician, and computer
scientists, and will build upon the group's previous work on medical
image analysis.

If interested, please email resume to Dr. Dinggang Shen
( ).


From: Emmanuel Zenou <>
Subject: JOB : Postdoc Position - ISAE - FRANCE

ISAE (Institut Sup=E9rieur de l'A=E9ronautique et de l'Espace ) is the French Institute of Aeronautics and Space
in Toulouse, France. Main activities of ISAE deal with Aeronautics and
Space, and especially with robotics and drones.

One of these activities is Computer Vision and Image Processing, more
precisely Panoramic Vision. Using a well working and robust panoramic
vision system able to map a structured (or not) environment is still a
challenge, especially under strong constraints: embedded, real-time
processing, etc.

Research activities will be divided into two parts: the first part
will concentrate on SLAM with different features, not only points, but
also lines, surfaces, etc. SLAM will be studied and implemented with
these features. The second part will be to study other panoramic
vision models, more complex, to fit better with real cameras.

Drones and ground robots are available at ISAE for experimentation.
Many activities turn around drones and robotics, especially in terms
of autonomous localization and mapping, Human-Machine Interactions,
etc. Research activities will carry out within the ISAE DMIA Laboratory.

Candidates should have research experience in Panoramic Vision and/or
SLAM. Duration is 1 year, probably 2.

Application must includes:
- a detailed CV with a description of realized projects
- a motivation letter
- a summary of the thesis
- 2-3 recommendation letters
- preferred starting dates

Localization : ISAE, Toulouse, France
Duration 12 to 24 monthes
Beginning : Jan 2009
Keywords : Computer Vision, Panoramic Vision, robotics, SLAM.


From: "Fernand Meyer" <>
Subject: JOB : Postdoc position - Centre de Morph - FRANCE

Post-doctoral position
Automated cellular phenotyping by image processing

Place : Centre de Morphologie Mathématique, Ecole des Mines de Paris
(Mines-ParisTech) - 35 rue Saint Honoré - 77300 Fontainebleau - France
- website :

Contacts: Jesús Angulo, Fernand Meyer
Tel : +33(0)

Context: The observation of a cell population phenotype, once it has
been disturbed, is now a major investigation tool in biology. For
instance, blocking a gene with a RNAi may highlight this gene effect
over the cell normal functioning. The observation of a toxic molecule
may show new action modes and put on the right track to develop new
medicines. As the phenotype modifications are sometimes extremely
subtle, it is necessary to develop specific fluorescent markers and to
resort to sensitive fluorescence microscopy to observe the phenotypes;
in addition, sophisticated image and data processing methods to
analyse et quantify the phenotype are to be developed. The successful
candidate for this post-doc position will contribute to develop such
methods. This study is carried out within the framework of a set of
other research projects led by the Ecole des Mines together with
several academic and industrial partners, with applications in cancer
and toxicology research.

Aims: The ideal candidate is self-motivated, holds a PhD, is able to
turn theoretical concepts into operational methods and appreciates
multidisciplinary studies, closely linked to biology. Indeed, (s)he
will develop new methods in order to :
· Extract and segment nuclei, cells and sub cellular constituents from
the information available in the multiple fluorescent channels
associated to the various markers. As cells are objects with very
specific shapes, model based segmentation has to be envisaged.
· Extract parameters to characterize the size, shape and texture in
order to identify the normal and abnormal shapes of the various cell
components. · Study the cell distribution in space, in order to
characterize the interactions among cells.
· Study the motion of living cells, by developing algorithms for
tracking them and analysing their deformation.
· The tools will be adapted to the different possible cell culture
protocoles: cell proliferation, cell differentiation, co-cultures
mixing two different cell types.

Skills and knowledge required :
· Good knowledge in image processing, mathematical morphology, and in
cell biology. Some experience of data classification and analysis
would be an additional advantage
· Good skills in programming in C and C++.
· Good knowledge of written and spoken English.

This post-doctorate position is immediately available and the initial
appointment is for one year.

Interested candidates should send (preferably as PDFs via e-mail at ) a copy of their curriculum vitae
including a list of their publications, a summary of their thesis, and
recommendation letter(s).


From: Iain Matthews <>
Subject: JOB : Postdoc - Disney Research - Pittsburgh, PA USA

Post-Doctoral Researcher in Computer Vision

Disney Research, Pittsburgh has one fixed term 2-year post-doctoral
position available immediately in our Computer Vision group. The ideal
candidate will have recently completed a PhD thesis in science,
engineering, or mathematics, and be experienced in at least one of the
following general areas:
- Video sequence analysis and/or modelling
- Activity recognition
- Machine learning
- Robot vision
- Vision for graphics
- Face and/or body gesture analysis
- Feature tracking

Excellent spoken and written English is essential. Disney Research is
primarily interested in publishing great research. Research-level
programming competence is required in at least Matlab and C++.

Disney Research Labs provide a research foundation for the many
business units within the Walt Disney Company. For example: Walt
Disney Feature Animation, Walt Disney Imagineering, Parks & Resorts,
Walt Disney Studios Motion Pictures, Disney Interactive Media Group,
ESPN, Image Movers Digital and Pixar Animation Studios. Disney
Research has sibling labs located in Pittsburgh, Zurich, Los Angeles,
Salt Lake City and San Francisco.

Disney Research, Pittsburgh is co-located and affiliated with Carnegie
Mellon University under director Prof. Jessica Hodgins. The successful
candidate will also be encouraged to collaborate with members of the
established Computer Vision group at The Robotics Institute at
Carnegie Mellon.

Full participation in the global R&D community is required through
publication of results, collaboration with universities, and
participation in professional service activities. Candidates should
have a strong record of achievement in applied research, excellent
academic credentials, and an earned PhD in their area of
specialization. Work experience in the entertainment industry is
preferred but not required.

To apply, please send a CV in pdf format that includes citizenship
(and for non-US citizens, current visa status if any) to Iain

The Walt Disney Company is an Affirmative Action / Equal Opportunity
Employer and encourages applications from members of under-represented


From: yon <>
Subject: JOB : Postdoctoral researcher - McGill University - Montreal, CANADA

Postdoc in machine learning and human locomotion analysis via sensor
networks at McGill University (Montreal, Canada)

The Centre for Intelligent Machines at McGill University seeks
applicants for a research position on the modeling and analysis of
human walking patterns via sensor networks, for interaction in virtual
and augmented reality environments. The aim is to enable new
interfaces for interaction via walking in intelligent environments, as
captured through distributed sensor networks, comprising force,
acoustic, and other motion sensors, embedded in floor surfaces and
their surroundings.

There are several possible sub-projects the researcher may engage
with, depending on interests and expertise, including:

- Dynamic machine learning techniques for real-time human locomotion
analysis and tracking
- Integration of multimodal sensor data information in the real-time
extraction of information from walking signatures
- Novel nonvisual (force and acoustic) sensor network design for
distributed interactive floor surfaces

The candidate should have a PhD in a related discipline, and should
possess experience in one or more of the following areas:
- Multimodal sensor information processing
- Machine learning for human motion analysis
- Activity analysis from sensor networks
- Robotic perceptual systems
- Sensor network design

Work will take place in the context of the project NIW: Natural
Interactive Walking, funded by the European Commission 7th Framework
and the Ministre du Developpement, Economique, Innovation et
Exportation (Quebec). The project is being undertaken in partnership
with leading European research institutions in France, Italy, and
Denmark, with significant exchange between them.

The position is initially for two years. It will be based in the
Shared Reality Environments lab of the Centre for Intelligent Machines
at McGill University. The lab is also affiliated with the Centre for
Interdisciplinary Research in Music Media and Technology.

The position is available effective immediately. A short list of
candidates will be interviewed, either in person or by videoconference.

Interested candidates should send their CV, selected publications,
and contact information for three references to:

Jeremy Cooperstock, Associate Professor
Centre for Intelligent Machines and
Department of Electrical and Computer Engineering
McGill University
3480 University Street, Room 424, Montreal, QC, H3A 2A7, Canada


Subject: JOB : 2 Open PhD Positions - Univ of Heidelberg - GER

2 Open PhD Positions in Computer Vision at the University of Heidelberg

The newly established research group at the Heidelberg Collaboratory
for Image Processing (HCI) headed by Prof. Björn Ommer has an opening
for two fully-funded PhD positions in the field of Computer Vision. We
are seeking applicants with a strong interest in performing cutting
edge research in a very active and exciting research area. We work in
the attractive surroundings of the HCI which is part of the
Interdisciplinary Center for Scientific Computing (IWR) at the
University of Heidelberg and we are integrated within and receive
funding from the interdisciplinary research area Transcultural Studies
in the Humanities.

The two open positions are situated within the group's core research
area of Visual Object Recognition and provide stimulating
opportunities for fundamental research as well as interdisciplinary
and industry related research. The salary will be TV-L13 3/4 with
adequate supervision and support to enable completion of the thesis
within 3 years. The topics for the two PhD theses are as follows: -
Shape-based recognition and segmentation of objects: Rather than
understanding images at the level of individual pixels or based on
features computed in rigid image patches, this project aims at
modeling the flexible shape of natural object categories. Object shape
provides a powerful cue that is necessary to model the diversities of
natural object categories and thereby enables automatic scene
understanding. - Object and action recognition in videos: The large
amounts of video data that are acquired everyday demand tools for
automatic video analysis that allow a user to efficiently search and
index video databases by their visual content rather than through
manual annotations. Object recognition, human action classification,
and the analysis of interactions between objects in a scene are
important prerequisites for computer-based video understanding. Both
projects offer possibilities for and benefit from ongoing
interdisciplinary research collaborations in the humanities (analysis
of novel image databases) and in the life sciences (biomedical image

Ideal candidates will have an excellent degree (Diploma, M.Sc. or
equivalent) in Computer Science, Electrical Engineering, Mathematics,
Physics, or a related field. They will have a strong mathematical
background, solid programming experience in C++ and Matlab, and above
all a strong motivation and desire to learn. Prior experience in the
areas of computer vision, machine learning, and graphics are a plus.
Fluency in English is required (both written and spoken) and the
candidate should be motivated to assist in teaching.

If you are interested in joining a young and dynamic group to pursue
exciting research that has impact within and beyond your direct field
of research then please send your complete application (including
motivation letter, curriculum vitae, score records, and if available, a
recommendation letter or names of two academic references) until April
30, 2009 by Email. The screening process will already start before this
deadline, so early submissions are strongly encouraged.

Prof. Dr. Björn Ommer
Heidelberg Collaboratory for Image Processing (HCI)
Universität Heidelberg
Speyerer Straße 4
D-69115 Heidelberg, Germany


From: "Sian Williams" <>
Subject: JOB : EngD Research Studentship - SLI Institute - UK

Sponsored by Thales Optronics, Glasgow


The project is in the technical area of digital image processing and
computer vision. The aim is to research and develop techniques for
easily implementing novel automatic image analysis algorithms for
scene understanding. The output of the project will be a real-time
technology demonstrator. This will be built using appropriate hardware
which may include SoC, GPU and FPGA. The main focus of the project is
hardware implementation and not algorithm development, which is being
explored in a concurrent EngD with the VISP Laboratory at Heriot-Watt University and
Thales Optronics.

Automatic image and scene analysis algorithms involve automatically
decomposing a video stream into "threat areas". Specific processing and
decision-making is then independently applied to each area depending on
the nature of the threat. These context-driven scene analysis algorithms
automatically select the appropriate sensor and processing algorithms
for each threat area. This project will research the appropriate
software and hardware required to implement the algorithms in real-time.
The project will explore the intelligent allocation of the individual
algorithms to software and firmware with an emphasis on the real-time
implementation in hardware.

Academic Supervision: Dr Neil Robertson, Heriot-Watt University

Thales Optronics, Glasgow is part of a large multinational company.
Approximately 700 staff are employed at Thales Optronics covering many
disciplines including EO modelling, software engineering, systems,
algorithm development and firmware. The products developed by Thales
include thermal imagers, periscopes, sighting systems and laser

This project will lead to the award of Engineering Doctorate in System
Level Integration, a degree awarded jointly by the universities of
Edinburgh, Glasgow, Heriot-Watt and Strathclyde. See for details.

Graduates from this course will have a thorough understanding of the
implementation of digital image processing techniques. They will acquire
an understanding of state-of-the-art techniques in computer vision and
how these techniques are applied in the military thermal imaging

Applications are welcome from new graduates and engineers with work
experience. The minimum entry qualification is a First or Upper Second
class Honours degree in EEE or CS (or equivalent). For eligible
students, the project attracts a stipend of c=A319,500 pa (tax-free) for
each of the four years of the degree.

IMPORTANT: Funding for this post is restricted to candidates fulfulling
EPSRC residency criteria - see

How to Apply/Further Information
Please contact Sian Williams, EngD Centre Manager, ISLI, Alba Centre,
Alba Campus, Livingston EH54 7EG, ,
01506 469312


From: "Wenyi Zhao" <>
Subject: JOB : 2009 Summer Research Intern - Intuitive Surgical - Sunnyvale, CA USA

Intuitive Surgical's Applied Research group is offering internships in
the area of computer vision and image processing. We are seeking
talented individuals to participate in exciting cross-disciplinary
projects in tele-robotic surgery. Project areas include:
- Development of non-rigid image registration methods.
- Development of methods for improving image quality in terms of
resolution and noise.
- Development of methodologies for evaluating image quality.
- Work with high-speed cameras to develop novel imaging applications.
- The study of endoscopic imaging systems, including optical components,
illumination and sensors.

Expected contributions may range from evaluating existing
implementations, integrating systems, improving existing algorithms,
to inventing new methods. PhD candidates and advanced MS students are
preferred. Other exceptional candidates will also be considered.

- A passion for working with a high energy team to develop novel
technologies aimed at improving the lives of hundreds of thousands
of patients.
- Knowledge in computer vision, image processing, medical imaging.
Hands-on experience in one of the areas listed above is strongly
- Strong programming skill in C/C++, Matlab and fast prototyping.
- Familiarity with image/video acquisition.

Start time: May/June 2009 (flexible)
Period: typically 3 months; extended internships may also be available

Please send a resume and cover letter to the following contacts:
Wenyi Zhao, PhD ( )
Simon DiMaio, PhD ( )
Senior Research Engineer Manager, Applied Research
Intuitive Surgical Inc, 1266 Kifer Road, Sunnyvale, CA 94086

Intuitive Surgical ( ), located in
Sunnyvale, CA, is engaged in designing, manufacturing and marketing
robotic surgical systems that are revolutionizing surgery. Its da
Vinci Surgical system includes six manipulator arms with a total of 41
degrees of freedom, along with a stereo endoscope and 3D video
display. With over 1100 installations worldwide, surgeons perform over
one hundred thousand minimally-invasive surgeries per year. The Da
Vinci system represents an outstanding platform for the development
and application of new technologies for surgery.


End of VISION-LIST digest 28.1

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