Estas becas están destinadas a licenciados o estudiantes con
título de grado de nacionalidad española, británica o estadounidense. Los
beneficiarios podrán estudiar en dos centros de prestigio: la Universidad de
Rochester y la Universidad de Maine. El plazo de inscripción estará abierto
hasta las 14:00 horas del próximo 15 de febrero de 2013.
Os remitimos la nota relacionada con la convocatoria publicada en
la web www.fundacioniberdrola.org
donde los interesados pueden consultar todas las condiciones de la convocatoria
así como rellenar el formulario de inscripción on-line formulario de inscripción on-line.
miércoles, 28 de noviembre de 2012
martes, 27 de noviembre de 2012
PhD Position Available at TU Darmstadt
PhD
Position Available - Interdisciplinary Project Serious Games, Bioinformatics,
Evaluation
Please
contact Michael Goesele (goesele@cs.tu-darmstadt.de)
for inquiries and information.
domingo, 11 de noviembre de 2012
PhD position: Uncertainty Visualization for Digital Radiation Therapy (TUe)
PhD position: Uncertainty Visualization for Digital Radiation Therapy
Biomedical Image analysis group at the Technical University of Eindhoven
Please follow this link to apply for this position: http://jobs.tue.nl/en/job/phd-student-uncertainty-visualization-for-digital-radiation-therapy-158481.html.
Project description
This PhD position is part of the FP7 EU-STREP project “DR THERAPAT”- Digital Radiation Therapy Patient”. This project is based on the past decade advances in radiation therapy technology, offering exceptional flexibility in dose delivery. Image guidance during treatment ensures a reliable targeting of the dose to the tumor. This has created the possibility to irradiate the tumor with a high dose with minimal exposure of surrounding tissue. Thus an improvement in tumor control is no longer invariably associated with an increase in radiation-induced toxicity. Now, the capacity exists to create treatment plans that are tailored to the specific characteristics of the patient. However, an individualized representational model that informs on radiation therapy planning and outcome prediction is still lacking. There are several modeling approaches available that have the potential to fill this gap, among them empirical, but established radiobiological models and more sophisticated multi-scale models.
DR THERAPAT aim is to create the Digital Radiation Therapy Patient, integrating the available knowledge on tumor imaging, image analysis and interpretation, radiobiological models and radiation therapy planning into a reusable, multi-scale digital representation.
The PhD appointed to this position will work in the visualization of the multimodal and multi-value data that plays a role throughout the complete model-based radiotherapy planning pipeline. Prior to the radiotherapy modeling, different imaging modalities will be combined by means of image registration, relevant anatomical structures will be segmented, multiple parameters will be quantified and different tissues will be classified. The resulting multitude of information is the input for the patient-specific radiotherapy modeling. We aim at methods for the visualization and exploration of all relevant information in the radiotherapy planning pipeline; we especially focus on methods that incorporate the uncertainty that is introduced in each step in the pipeline.
The goal is to achieve an easy-to-use and easy-to-understand visualization and exploration of the multimodal, multi-value data involved in cancer radiotherapy planning – including the uncertainty in these data – in each step of the radiotherapy planning pipeline and in the final planning outcome.
Research group
The “DR THERAPAT” project comprises multiple and diverse scientific and technical challenges. Therefore, the project will be developed by a multidisciplinary team from leading academic and research institutions worldwide. The PhD student will be embedded in this team formed by Philips Research (Hamburg) and Healthcare (The Netherlands), Stichting Antoni van Leeuwenhoek Ziekenhuis (The Netherlands), Katholieke Universiteit Leuven (Belgium), Aarhus Universitet (Denmark), The Institute of Communication and Computer Systems (Greece) and Eindhoven University of Technology (TU/e – The Netherlands) where the PhD student will be located.
The PhD student will also be embedded in the Multivalued Image Analysis & Visualization group (http://bmia.bmt.tue.nl/research/MVIAV/) led by dr. Anna Vilanova. This group is part of the recently TU/e established Imaging Science and Technology Eindhoven (IST/e, cf. www.iste.nl) High Potential Research Program which has the ambition to become a leading research institute on the crossroads of image acquisition, mathematical modeling, algorithmic, visualization and biomedical applications on the basis of advanced imaging techniques. This ambitious goal is feasible through synergy of perfectly complementary research groups within TU/e and their collaborative partners, such as Philips Healthcare, and regional and academic medical centers.
Tasks
Study of data visualization and exploration methods currently used in radiotherapy
Study and modeling using probability theory of the uncertainty (e.g. noise) in the image data acquired with the multimodal imaging modalities involved in radiotherapy planning.
Study and modeling of the propagation and accumulation of uncertainty in the multimodal image registration, segmentation & quantification steps.
Analysis and implementation of methodology for the comprehensive visualization and interactive exploration of the multimodal, multi-value information and its uncertainty: data mining, visual analysis and real-time user interaction will be combined to optimally facilitate the visual representation and exploration of this multidimensional information and its uncertainty.
Analysis, development and implementation of methods for the visualization of the effect of uncertainty in the tissue modeling and therapy planning results.
Evaluation of the effectiveness of the developed visualization and exploration methods.
Requirements
We are looking for a candidate who meets the following requirements:
You are a talented and enthusiastic researcher.
You have experience with or a strong background in visualization, computer graphics, mathematics, and image processing. Preferably you finished a master in Computer Science, (Applied) Mathematics, (Applied) Physics or Electrical Engineering.
You have excellent programming skills and experience.
You have good communicative skills, and the attitude to partake successfully in the work of a multidisciplinary research team.
You are creative, ambitious, hard working and persistent.
You have good command of the English language (knowledge of Dutch is not required).
Biomedical Image analysis group at the Technical University of Eindhoven
Please follow this link to apply for this position: http://jobs.tue.nl/en/job/phd-student-uncertainty-visualization-for-digital-radiation-therapy-158481.html.
Project description
This PhD position is part of the FP7 EU-STREP project “DR THERAPAT”- Digital Radiation Therapy Patient”. This project is based on the past decade advances in radiation therapy technology, offering exceptional flexibility in dose delivery. Image guidance during treatment ensures a reliable targeting of the dose to the tumor. This has created the possibility to irradiate the tumor with a high dose with minimal exposure of surrounding tissue. Thus an improvement in tumor control is no longer invariably associated with an increase in radiation-induced toxicity. Now, the capacity exists to create treatment plans that are tailored to the specific characteristics of the patient. However, an individualized representational model that informs on radiation therapy planning and outcome prediction is still lacking. There are several modeling approaches available that have the potential to fill this gap, among them empirical, but established radiobiological models and more sophisticated multi-scale models.
DR THERAPAT aim is to create the Digital Radiation Therapy Patient, integrating the available knowledge on tumor imaging, image analysis and interpretation, radiobiological models and radiation therapy planning into a reusable, multi-scale digital representation.
The PhD appointed to this position will work in the visualization of the multimodal and multi-value data that plays a role throughout the complete model-based radiotherapy planning pipeline. Prior to the radiotherapy modeling, different imaging modalities will be combined by means of image registration, relevant anatomical structures will be segmented, multiple parameters will be quantified and different tissues will be classified. The resulting multitude of information is the input for the patient-specific radiotherapy modeling. We aim at methods for the visualization and exploration of all relevant information in the radiotherapy planning pipeline; we especially focus on methods that incorporate the uncertainty that is introduced in each step in the pipeline.
The goal is to achieve an easy-to-use and easy-to-understand visualization and exploration of the multimodal, multi-value data involved in cancer radiotherapy planning – including the uncertainty in these data – in each step of the radiotherapy planning pipeline and in the final planning outcome.
Research group
The “DR THERAPAT” project comprises multiple and diverse scientific and technical challenges. Therefore, the project will be developed by a multidisciplinary team from leading academic and research institutions worldwide. The PhD student will be embedded in this team formed by Philips Research (Hamburg) and Healthcare (The Netherlands), Stichting Antoni van Leeuwenhoek Ziekenhuis (The Netherlands), Katholieke Universiteit Leuven (Belgium), Aarhus Universitet (Denmark), The Institute of Communication and Computer Systems (Greece) and Eindhoven University of Technology (TU/e – The Netherlands) where the PhD student will be located.
The PhD student will also be embedded in the Multivalued Image Analysis & Visualization group (http://bmia.bmt.tue.nl/research/MVIAV/) led by dr. Anna Vilanova. This group is part of the recently TU/e established Imaging Science and Technology Eindhoven (IST/e, cf. www.iste.nl) High Potential Research Program which has the ambition to become a leading research institute on the crossroads of image acquisition, mathematical modeling, algorithmic, visualization and biomedical applications on the basis of advanced imaging techniques. This ambitious goal is feasible through synergy of perfectly complementary research groups within TU/e and their collaborative partners, such as Philips Healthcare, and regional and academic medical centers.
Tasks
Study of data visualization and exploration methods currently used in radiotherapy
Study and modeling using probability theory of the uncertainty (e.g. noise) in the image data acquired with the multimodal imaging modalities involved in radiotherapy planning.
Study and modeling of the propagation and accumulation of uncertainty in the multimodal image registration, segmentation & quantification steps.
Analysis and implementation of methodology for the comprehensive visualization and interactive exploration of the multimodal, multi-value information and its uncertainty: data mining, visual analysis and real-time user interaction will be combined to optimally facilitate the visual representation and exploration of this multidimensional information and its uncertainty.
Analysis, development and implementation of methods for the visualization of the effect of uncertainty in the tissue modeling and therapy planning results.
Evaluation of the effectiveness of the developed visualization and exploration methods.
Requirements
We are looking for a candidate who meets the following requirements:
You are a talented and enthusiastic researcher.
You have experience with or a strong background in visualization, computer graphics, mathematics, and image processing. Preferably you finished a master in Computer Science, (Applied) Mathematics, (Applied) Physics or Electrical Engineering.
You have excellent programming skills and experience.
You have good communicative skills, and the attitude to partake successfully in the work of a multidisciplinary research team.
You are creative, ambitious, hard working and persistent.
You have good command of the English language (knowledge of Dutch is not required).
jueves, 1 de noviembre de 2012
Software engineering positions for open-source surgical simulation platform
SimQuest (www.simquest.com)
is seeking new or recent software engineering/computer science
graduates to work on a project to develop an open-source platform for
surgical simulation. Over the last six years, SimQuest has
developed a large code base in C++ to support real-time physics (1-,
2-, and 3-D FEMs); collision detection, clustering, and response;
device-independent haptics; display/scene rendering; debug support;
measurement of user behavior; and a tool chain to support scenario
creation and editing. This platform currently supports applications for suturing, bone drilling, and microsurgery. We are re-architecting the platform and transitioning it to an open-source code base.
Responsibilities
Develop unit tests for all classes
Revise/refactor/reimplement code to conform to new architecture/APIs and to run on the Robot Operating System (ROS)
Incorporate existing open-source packages in lieu of proprietary/closed code where appropriate
Participate in design and code reviews
Package features into releases for the user community
Write user documention
Qualifications
Required
o 1-2 years of C++ programming experience
o Have designed and built software using an object-oriented design and coding methodology
o Experience with a version control system such as Subversion, Git, or Perforce
o Fluent oral and written communication skills
· Desirable
o Have
used any of the following systems: Bullet, SOFA, or any other physics
package; OpenSceneGraph, OpenCL; Chai3D or any other haptics package;
GitHub; ROS
o Experience in contributing to any open-source software development
o Python programming experience
o Have used an agile software methodology
o Experience and/or coursework in any of the following areas: computational physics, graphics, haptics, real-time programming
o Team software development experience
Job Application Materials
Cover letter
Resume/CV
Downloadable code samples
Two references and/or two letters of recommendation
Job Location
Boston, MA. Must be eligible to work in the United States.
SimQuest
offers a competitive compensation and benefits package including
medical insurance and company match on 401(K) contributions.
Two Postdocs at the USC Institute for Creative Technologies
--- Postdoctoral Position in User State Sensing at the USC Institute for Creative Technologies ---
The MxR Lab at the University of Southern California Institute for Creative Technologies is seeking a postdoctoral researcher for a project in user state sensing. Applicants should have a Ph.D. in computer science or a related field and a research background in virtual environments, 3D user interfaces, human-computer interaction, computer vision, machine learning, or a similar area.
This position is funded by a project that involves assessing the user's psychological state through verbal and nonverbal behavior during interactions with virtual humans, based primarily on data collected through video and depth cameras. Specific responsibilities will include:
- Designing and prototyping sensing methodologies to inform model's of the user's psychological state
- Developing software libraries that facilitate user state sensing
- Collaborating with other divisions of the ICT to contribute to an integrated sensing framework
- Conducting user studies, analyzing data, and publishing results
The University of Southern California (USC), founded in 1880, is located in the heart of downtown L.A. and is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class research university and a member of the "Trojan Family," which is comprised of the faculty, students and staff that make the university what it is.
Initial appointment will be for one year with the possibility of renewal for subsequent years. Please direct all inquiries to Evan Suma (suma@ict.usc.edu).
Applicants can apply online at: http://jobs.usc.edu/applicants/Central?quickFind=66028
--- Postdoctoral Position in Visualization at the USC Institute for Creative Technologies ---
The MxR Lab at the University of Southern California Institute for Creative Technologies is seeking applications for a Postdoctoral Research Associate who can essentially serve as a Product Designer specializing in the field of data visualization / visual analytics.
Applicants should have a Ph.D. in computer science or related field and a research background in the areas of scientific visualization, information visualization, or visual analytics, but also must have great client relationship skills, be highly empathic, and be adept at client need finding.
Effort will be on a new project that focuses on innovative ways for users to interact with scientific data visualization. The position is expected to be funded for at least two years, with an initial one-year appointment and the possibility of renewal for subsequent years. Some travel to DC to spend extended time with local researchers will be required as well.
Responsibilities will include:
- Designing novel visualizations and interaction techniques for immersive tablet-based displays
- Developing visualization applications and supporting software for mobile platforms
- Conducting user studies, analyzing data, and publishing results
- Acting as a liaison between ICT and other contracting organizations
- Providing support for other contracting organizations in integrating existing visualization applications with tablet devices
How to apply:
Email a cover letter and CV (including list of publications and contact information for 3-5 references) to Evan Suma (suma@ict.usc.edu).
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