[visionlist] 2nd CFP :: ISACS 2013 – Intl. Symposium on ATTENTION IN COGNITIVE SYSTEMS :: associated with IJCAI 2013 (Beijing, China)Posted: February 28, 2013
Postdoctoral position on real-time feature extraction from a dense 3D mesh
The ALCoV team at ISIT Clermont-Ferrand (France), is looking for a post-
doctoral position for S years.
We aim at developing techniques for 3D scene interpretation and automatic
labeling. Though the project will focus on making fundamental contributions,
it involves partners who will use our result for (1) automated optical
inspection of circuit boards and (2) medical imaging parsing.
The state of the art has structured research in this area [1,2]. However, the
applicative goal we have in this project sparkled new problems which are
clearly open to date. In particular, we will research the automatic extraction
of high level pre-defined geometric primitives (such as a cylinder) in a
complex topological structure.
The postdoc will not be focused on the industrial transfer, and publications
in the computational geometry, computer vision and medical image processing
fields will be sought.
The postdoc will take place at the ISIT research center (CNRS and Université
d’Auvergne) in Clermont-Ferrand, France. The postdoc fellow will be supervised
by J.-M. Favreau, Y. Gérard and A. Bartoli. The hosting group is ALCoV, an
extremely dynamical and friendly research team at ISIT.
G. Lavoué, J-P. Vandeborre, H. Benhabiles, M. Daoudi, K. Huebner, M. Mortara,
M. Spagnuolo, SHREC’12 Track: 3D mesh segmentation, Eurographics Workshop on
3D Object Retrieval, 2012
J Digne, JM Morel, C Mehdi-Souzani, C Lartigue, Mesh segmentation and model
extraction, Curves and Surfaces, 2012
J.-M. Favreau, V. Barra, Tiling surfaces with cylinders using n-loops.
Computers & Graphics, 2011
A Postdoctoral position in Visualization Genomics is available in the laboratory of Dr. Aaron Golden, Department of Genetics, Division of Computational Genetics, at the Albert Einstein
College of Medicine in New York city (http://goldenlab.einstein.yu.edu). The lab has access to, and is interested in developing core expertise in, (i) cloud/grid infrastructures (ii) large-scale SMP platforms (iii) GPGPU/FPGA platforms, with the purpose of
utilizing these significant computational resources to optimize the visual exploration and analysis of specific genomics, microbiomics and metabolomics datasets. The successful candidate would take the lead in the development of evolutionary computing algorithms
to holistically cluster and visualize multiple datasets in a both static and dynamic fashion, with the goal of offering the user a real-time exploratory analysis experience of their high-dimensional data.
We require a suitably qualified and highly motivated individual with a strong background in computer science, with a particular emphasis on machine learning, computer vision and application development on high performance/accelerated platforms to take the lead
in exploring this visualization discovery paradigm. The postdoctoral associate will work closely with the other members of the lab, and more widely Division, and in particular will use both basic science and clinically oriented genomics projects to act as
the driver for the technological innovation. Competitive salary and benefits will be offered based on qualifications.
Please send curriculum vitae, a description of research experience and contact information of three references to: Amy Vargas, Department of Genetics, Albert Einstein College of Medicine 1300 Morris Park Avenue Bronx, NY 10461 email@example.com – The
Albert Einstein College of Medicine of Yeshiva University (www.einstein.yu.edu) is an Equal Opportunity Employer.
School of Biological & Chemical Sciences
Three Lectureships/Senior Lectureships in Psychology
Ranked very highly in the 2008 Research Assessment Exercise, Queen Mary is one of the largest colleges in the University of London and one of the UK’s leading research-intensive institutions, joining the Russell Group in 2012.Â The College has made a strategic commitment to world-class research and teaching across all its disciplines.Â Within Queen Mary, the School of Biological and Chemical Sciences is a large and expanding academic unit, which provides a supportive and friendly environment and encourages interdisciplinary research. We are embarking on a 5 year programme of recruitment to invest in the acknowledged strengths in the school and advance its areas of internationally-competitive activity. The School extends from Chemistry, through all aspects of Biology to Psychology. We have strong links with other Schools within the Faculty as well as with Barts and the London School of Medicine and Dentistry. The School is also embarking on an exciting joint venture with Nanchang University in biomedicine.
Applications are invited for three positions in the Psychology Division.Â Â Our programme approaches psychology as an experimental science growing from roots in biology and considered in an evolutionary framework. We are now looking for ambitious research-driven candidates with strong track records of research outputs and potential for funding who can develop links with existing staff. Existing strengths include:
Â·Â Â Â Â Â Â Â Particular expertise in animal cognition, language and communication, and evolutionary and behavioural genomics.
Â·Â Â Â Â Â Â Â A culture of high-impact collaborative research within the Division.
Â·Â Â Â Â Â Â Â Strong links to other research centres and facilities at QM, including:
Â·Â Â Â Â Â Â Â The Centre for Digital Music in the School of Electronic Engineering and Computer Sciences
Â·Â Â Â Â Â Â Â The Augmented Human Interaction (AHI) laboratory, collaboration between theÂ Interaction, Media and CommunicationÂ and theÂ Computer VisionÂ research groups.
Â·Â Â Â Â Â Â Â Centre for Psychiatry
Â·Â Â Â Â Â Â Â Centre for the History of the Emotions
Â·Â Â Â Â Â Â Â Centre for Mind and Society
Â·Â Â Â Â Â Â Â The Genome Centre
Â·Â Â Â Â Â Â Â Centre for Cognitive Science
Existing research infrastructure includes facilities for EEG, eyetracking, molecular biology and cell culture, and significant high-throughput computational resources. A newly-built,Â dedicated â€œbaby labâ€ is immediately available for research.
Strong candidates in any area relevant to biological and experimental psychology will be considered, although we are especially keen now to recruit expertise inÂ Developmental psychology, Social/Evolutionary psychology and Cognitive psychology.Â A competitive remuneration package and start-up funds are negotiable.
The School is committed to Athena SWAN principles to promote women in science; we positively welcome applications from women, who are currently under-represented in the school. We will also be happy to consider applications from people with their own funding who wish to explore proleptic positions in the school.
The posts are full time and permanent starting in July 2013 or as soon as possible thereafter. The salary will be in the range of Â£38,197 – Â£47,559 for Lecturers and Â£50,267 – Â£56,185 for Senior Lecturers; per annum and will be in accordance with the appointment level, subject to experience and qualifications. Benefits include 30 days annual leave, childcare vouchers scheme, defined benefit pension scheme and interest-free season ticket loan.
Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.
For informal enquiries and candidates wishing to express an interest in higher appointments up to Professor level should contactÂ the Head of the Psychology Division, Professor David Clayton, e-mail address:Â firstname.lastname@example.org
For further information about the School, pleaseÂ visit the Schoolâ€™s website on:http://www.sbcs.qmul.ac.uk
To apply, please visit the Human Resources website onÂ http://www.jobs.qmul.ac.ukÂ and search for reference number QMUL1671
Application enquiries should be directed toÂ email@example.com
Applicants must include their CV and a two page summary of their proposed research at Queen Mary University of London.
The closing date for completed applications isÂ 22ndÂ March 2013.Â Interviews will be in held shortly thereafter.
Valuing Diversity and Committed to Equality
Announcement and Call for Papers
35th German Conference on Pattern Recognition (GCPR 2013)
Saarbruecken, Germany, September 3-6, 2013
Paper Submission Deadline: April 5, 2013
GCPR 2013 is the 35th annual symposium of the German Association for
Pattern Recognition (DAGM, http://www.dagm.de). These symposia belong to the
oldest and largest domestic conferences on pattern recognition, image
processing, and computer vision. They use English as the conference
language, have acceptance rates around 45 %, proceedings in the Springer
LNCS series, and a substantial number of international attendees.
To reflect the internationalization of the annual DAGM symposia, this
conference series has been renamed into German Conference on Pattern
Recognition (GCPR), and a number of international experts have joined
the program committee.
We are looking forward to welcoming researchers and interested newcomers
in pattern recognition, image processing, computer vision, and related
areas to present and discuss recent advances. In the long tradition of
DAGM symposia, the single track program as well as the poster sessions
will provide ample opportunity for open-minded discussions and inter-
The conference will include a Young Researchers Forum and a Special
Session on Robust Optic Flow. Moreover, on September 3, it will
feature a number of additional special events:
* Tutorial on Computational Plenoptic Imaging
* Tutorial on Shape from Shading in Theory and Algorithms
* Workshop on Unsolved Problems in Pattern Recognition and
* Workshop on New Challenges in Neural Computation
* Workshop on Imaging New Modalities
We are happy to announce that Jitendra Malik (Berkeley), Jean-Michel
Morel (ENS Canchan), and Eugene Myers (MPI for Molecular Cell Biology
and Genetics, Dresden) have agreed to give keynote talks.
We invite paper submissions via the electronic submission system on
the conference website by April 5, 2013. Topics include, but are not
* image processing and computer vision,
* machine learning and pattern recognition,
* mathematical foundations, statistical data analysis and models,
* computational photography and confluence of vision and graphics,
* applications in natural sciences, engineering, biomedical
data analysis, imaging, and industry.
All manuscripts will be subject to a double-blind review process.
The proceedings will be published by Springer in the Lecture Notes
in Computer Science (LNCS) series, and the best contributions will
receive GCPR awards.
For more information, please visit the GCPR 2013 website:
As organizers of GCPR 2013 we are looking forward to your contri-
butions and to welcoming you in Saarbruecken.
Joachim Weickert (General Chair)
Matthias Hein, Bernt Schiele (Program Chairs)