[visionlist] Postdoctoral and Data Analyst Positions, Radiology-Breast Imaging, University of Pennsylvania

Re: [visionlist] In Memoriam: Michael von Grunau

Dear Colleague,

> In Memoriam: Michael von Grunau
>
> It is with great sadness that I wish to inform you of the passing of
> Michael von Grunau. Michael lost his battle with cancer on December 22.
> There will be a memorial service in his honor on December 30 in Montreal.
> It is also possible for his friends and colleagues to leave messages on
> the following website:
>
> http://dignity.mem.com/dignity/guestbook.aspx?id=34702595

I did so, but I thought it would be useful to make a more academic memorial. To that end I started a Wikipedia article about Michael von Grnau:
http://en.wikipedia.org/wiki/Michael_von_Grnau

It’s pretty sketchy at the moment with several ?s, but I invite colleagues who are more familiar with his life and work than I am to fill in some of the details and to correct any mistakes I have made. It would also be useful to have a picture of von Grnau for the article; if you have one for which you own the copyright and are willing to put into the public domain, be my guest!

Cheers,
Robert.

Robert P. O’Shea, Professor and Head of the Discipline of Psychology,
Deputy Director of the Cognitive Neuroscience Research Cluster,
School of Health and Human Sciences,
Southern Cross University,
Hogbin Drive, Coffs Harbour, 2450,
Australia
phone: +61 2 6659 3313; fax: +61 2 6659 3202
e-mail: robert.oshea@scu.edu.au
Publications: http://www.researcherid.com/rid/C-5723-2008
Psychology Colloquia: http://www.scu.edu.au/psychologycolloquia
Discipline: http://www.scu.edu.au/schools/hahs/index.php/65/
The content of this e-mail is intended for the addressee only and may not be forwarded to a third party without my written permission.

[visionlist] Post-doctoral position in visual cognition

Applications are
invited for a post-doctoral research position funded
by the National Science Foundation available in John Henderson’s
Visual
Cognition Lab (https://sites.google.com/site/jmhvcl/lab). The
lab houses state-of-the-art eyetracking facilities including
eyetrackers interfaced with EEG and the Psychology Department’s
fMRI scanner
(3T Siemens Trio). The project will investigate gaze control
during natural
scene viewing.

Applicants should have a background in visual attention or
visual cognition and
an interest in eye movements and scene perception. Programming
skills, familiarity
with eyetracking data analysis methods, and knowledge of
computational modeling
are desirable. Candidates with a PhD in the cognitive sciences
broadly defined
(e.g., Psychology, Neuroscience, Computer Science, or a related
field) are
welcome to apply. Salary is competitive and commensurate with
experience.
Initial appointment will be for one or two years with
opportunity for extension
to three years. The successful candidate will have the
opportunity to
contribute to the funded project and to initiate new projects.

The University of South
Carolina is the flagship
research institution in South Carolina. The Department of
Psychology has 36
tenure/tenure-track faculty members and is in the midst of
substantial
expansion in cognitive science and cognitive neuroscience.
Columbia is the
largest city in South Carolina and has an affordable cost of
living. It is
within easy reach of Charleston and the recreational
opportunities offered by
the Appalachian Mountains and the beaches of the southeast
Atlantic coast.

The University of South
Carolina is an affirmative
action, equal opportunity employer. 
Women and minorities are encouraged to apply. The
University of South Carolina does not discriminate in
educational or employment
opportunities or decisions for qualified persons on the basis
of race, color,
religion, sex, national origin, age, disability, sexual
orientation or veteran
status.

Applications
will be
assessed on a rolling basis with a target start date of March 1,
2012. Informal
inquiries and formal applications should be addressed to John
Henderson (john.henderson@sc.edu).
Formal applications should include CV, brief statement of research
interests,
and the names and email addresses of 3 referees.

[visionlist] In Memoriam: Michael von Grunau

In Memoriam: Michael von Grunau
It is with great sadness that I wish to inform you of the passing of 
Michael von Grunau. Michael lost his battle with cancer on December 22. 
There will be a memorial service in his honor on December 30 in Montreal. 
It is also possible for his friends and colleagues to leave messages on 
the following website:http://dignity.mem.com/dignity/guestbook.aspx?id=34702595
Michael will be deeply missed by all who knew and loved him.

       Lyne Racette, PhD

    Assistant Professor

    Eugene and Marilyn Glick Eye Institute

    Indiana University School of Medicine

    Department of Ophthalmology

    1160 W Michigan Street, Room 205N

    Indianapolis, IN 46202

    317-274-1226 (Phone)

    317-274-8992 (Fax)

[visionlist] Faculty Position in Cognitive Psychology at University of California, Riverside

The Department of Psychology, University of California, Riverside, invites
applications for a tenure-track Assistant Professor position in Cognitive
Psychology to start July 1, 2012. We seek applicants whose research
examines the cognitive neuroscience of human learning and memory. The
ideal candidate will contribute to our emerging emphasis in
experience-dependent change. Applicants should demonstrate a record of
research excellence using methodological approaches involving human
behavior, cognitive neuroscience, and/or computational modeling.
Individuals with interdisciplinary interests are encouraged to apply.

Applicants should be committed to excellence in undergraduate and graduate
education and interest in teaching quantitative methods at the graduate
level is preferable. The Ph.D. is required and salary is commensurate with
education and experience. Review of applications will begin February 15,
2012 and continue until the position is filled. Interested candidates
should send hardcopies of their curriculum vitae, a cover letter
describing research and teaching interests, reprints if available, and
arrange to have three letters of recommendation sent to:

Professor Steve Clark, Chair
Cognitive Search Committee
Department of Psychology
University of California ­ Riverside
900 University Avenue
Riverside, CA 92521.

The Riverside campus of the University of California is growing rapidly
and has an excellent psychology department with a strong record of success
in research, teaching, and extramural funding. For information on the
Department of Psychology, see our website at: http://www.psych.ucr.edu
. The campus is located about 50 miles east of
Los Angeles and less than an hour¹s drive from the area¹s mountains,
deserts, and beaches.

The University of California, Riverside is an equal
opportunity/affirmative action employer

[Imageworld] Opening for Research Scientist at the University of Illinois in Singapore

The University of Illinois at Urbana-Champaign (UIUC) seeks a top researcher with expertise in computer vision for an opening at the Advanced Digital Sciences Center (http://adsc.illinois.edu) in Singapore.  We have an opening for a research scientist, who will work at ADSC in Singapore under the close supervision of Prof. Narendra Ahuja from UIUC. The scope of work and benefits for this position includes:

Work closely with Prof. Narendra Ahuja on his project in ADSC to investigate and develop principled computational methods for highly effective, scalable, and robust action recognition, tracking, and registration techniques to be used in a comprehensive system geared towards sports video analysis.

Lead a team of researchers and software engineers in different phases of the project

Collaborate with other researchers in other interesting projects

Multi-year positions — time to build a substantial resume and strong collaborations

Critical mass of peers in related fields in residence at ADSC

Adjunct appointment in the Coordinated Science Laboratory at Illinois

Collaborate with and help guide Illinois grad students

Supervise top undergrads as summer interns

Time in residence at Illinois

Excellent opportunities for collaboration with industrial and government researchers in Singapore

Excellent total compensation

Career mentoring

Family health benefits and moving expenses

 Applications are being accepted on a rolling basis until the position is filled. Please apply on line at http://adsc.illinois.edu. For more information about the position, please contact Dr. Bernard Ghanem at this email: bernard.g@adsc.com.sg

[Imageworld] Opening for a PhD position at the Department of Biomedical Engineering at Linköping University, Sweden

The
Department of Biomedical Engineering (www.imt.liu.se) is a
national center for research and education within the field of
medical technology. The research is based on the needs within
health care and is carried out in close cooperation with the
medical industry and medical clinics.
Our research group in medical informatics is internationally
known, among other things for our work with the development of new
theories and algorithms for analysis of multidimensional data.
Successful applications include; analysis of local image
structure, adaptive filtering of volume sequences and imaging of
brain activity using functional magnetic resonance imaging (fMRI).
Currently we have an open position for a PhD student in medical
informatics at the Department of Biomedical Engineering.
Background: The aim of medical informatics is to develop general
methods in order to find the best representations and
presentations of different types of information. We are currently
seeking a PhD student in medical informatics, specializing in
neuro-economics and multidimensional signal analysis. In
neuro-economics, the parts of the brain that are activated at
different decisions are studied, with the aim to investigate the
neurological mechanisms that govern economic decision making. The
analysis of neuro-economic data has some major challenges, thus,
to develop and to improve statistical analysis is central to the
development of the field of neuro-economics. Work within this new
position will be a part of the research conducted at the Center
for Medical Image Science and Visualization (www.cmiv.liu.se).
Duties: In this research project various MRI techniques (fMRI,
MRI, DTI) will be combined with economic experiments. Here,
economic decision making is defined very broadly and includes
financial risk-taking, altruism, the perception of fairness, and
trust. Very large amounts of image data will be produced during
the planned trials. Main duties include the implementation of
efficient algorithms and methods for analyzing and objectively
evaluating the results obtained, in terms of relationships between
brain structure, brain activity and economic decision making. This
means that a special focus will be on multidimensional and
multivariate signal analysis.
Requirements: Interested candidates should have a Master’s degree
in mathematics, physics, electrical engineering, biomedical
engineering, computer science, or a related field. Experience with
medical image analysis, manifold learning and statistical
modelling is an advantage. Experience with computer programming
(MATLAB, C or C++), strong theoretical skills, and the ability to
work in a multi-disciplinary team are required.
Contact: In the first instance, please contact Prof Hans Knutsson
(knutte@imt.liu.se) attaching a CV with your academic record. Last
date of application is February 10th 2012.

[Imageworld] Postdoctoral Positions on Image Segmentation and Registration

Several postdoctoral positions are available in IDEA lab
(https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC.

Position 1 (Deformable Segmentation): The successful candidate should
have a strong background on Electrical or Biomedical Engineering, or
Computer Science, preferably with emphasis on image feature
extraction, shape representation, and shape statistics. Experience on
medical image segmentation using deformable surface, level sets, and
graph cut is highly desirable. People with machine learning background
on image features and shape statistics are particularly encouraged to
apply. Strong knowledge on programming (good command of LINUX, C and
C++, scripting, and Matlab) are desirable. The research topic will be
the development and validation of statistical deformable segmentation
methods for prostate and brain.

Position 2 (Brain Image Registration): The successful candidate
should have a strong background on Electrical or Biomedical
Engineering, or Computer Science, preferably with emphasis on image
analysis, or computer vision. Experience on medical image registration
and analysis is highly desirable. People with group-wise registration
or 4D registration are particularly encouraged to apply. Knowledge on
neuroscience and programming background (good command of LINUX, C and
C++, scripting, and Matlab) are desirable. The research topic will be
the development and validation of 3D, 4D, and group-wise image
registration methods for brain image analysis.

The successful candidates 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 (dgshen@med.unc.edu).

[Imageworld] Deadline extended: Special Issue on Machine Learning in Medical Imaging

Dear Colleagues,

Happy Holidays!

Due to the popular request, we are happy to extend the deadline of the special issue to Feb. 1st, 2012, Please find the updated Call for Papers below. You are very welcome to submit your work to the special issue.

Best regards,

Pingkun Yan on behalf of the guest editors

Special Issue on Machine Learning in Medical Imaging

Medical imaging is indispensable for patients’ healthcare. Machine learning plays an essential role in the medical imaging field, including computer-aided diagnosis, medical image analysis, organ/lesion segmentation, image registration, and image-guided therapy. Because of large variations and complexity, it is generally difficult to derive analytic solutions or simple equations to represent objects such as lesions and anatomy in medical images. Therefore, tasks in medical imaging require learning from examples for accurate representation of data and knowledge. Because of its essential needs, machine learning in medical imaging is one of the most promising, growing fields. As medical imaging has been advancing with the introduction of new imaging modalities and methodologies such as cone-beam/multislice CT, positron-emission tomography (PET)/CT, tomosynthesis, and diffusion-weighted MRI, new machine-learning algorithms/applications are demanded in the medical imaging field.

The main aim of this special issue is to help advance scientific research within the broad field of medical imaging and machine learning. This special issue focuses on major trends and challenges in this area, and it presents work aimed to identify new techniques and their use in medical imaging. We are looking for original, high-quality submissions on innovative research and development in all aspects of machine learning in medical imaging including, but not limited to:

Computer-aided detection/diagnosis (e.g., for lung cancer, prostate cancer, breast cancer, colon cancer, liver cancer, acute disease, chronic disease, osteoporosis)

Machine learning (e.g., with support vector machines, kernel methods, statistical methods, probabilistic modeling, manifold-space-based methods, artificial neural networks) applications to medical images with 2D, 3D, and 4D data

Medical image analysis (e.g., pattern recognition, classification, segmentation, registration) of anatomic structures and lesions

Multimodality fusion (e.g., MRI/PET, PET/CT, X-ray/ultrasound) for diagnosis, image analysis, and image-guided interventions

Image reconstruction (e.g., expectation maximization and statistical methods)

Image retrieval (e.g., context-based retrieval, lesion similarity)

Manuscript Due:  February 1st, 2012

First Round of Reviews:  June 1st, 2012

Final Decision: September 1st, 2012

Publication Date:  TBD

Guest Editors:
Pingkun Yan, Ph.D., Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, Shaanxi, China; pingkun@ieee.org
Kenji Suzuki, Ph.D., Department of Radiology, University of Chicago, Chicago, IL, USA; suzuki@uchicago.edu
Fei Wang, Ph.D., IBM Almaden Research Center, San Jose, CA, USA; wangfe@us.ibm.comDinggang Shen, Ph.D., Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; dgshen@med.unc.edu

[Imageworld] Machine Learning Postdoc position

A PostDoc Positions in Machine Learning.

Research Area: Low-Rank Matrix Recovery and Approximation, Sparse Coding.

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

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

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