Học bổng toàn phần PhD ngành CS.

Ph.D. candidate in the project õ?~Ibis: Large-scale grid computingõ?T
(Noord-Holland), VU University Amsterdam


Job description
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The VU University Amsterdam is one of the leading institutions for higher education in Europe. It is part of international science networks and collaborates with many major universities throughout the world. The Faculty of Sciences consists of four departments, with 650 employees including researchers, lecturers, full- and part-time professors. In the research group of Computer Systems, we have a vacancy for a Ph.D. student in the project õ?~Ibis: Large-scale grid computingõ?T.
Summary
We are looking for a Ph.D. student to do experimental research in new application domains for the Ibis grid computing system.
Research project
The main goal of the Ibis project (http://www.cs.vu.nl/ibis/) is to create an efficient Java-based platform for grid computing. The project consists of a communication library, a variety of programming models, the Java Grid Application Toolkit, and the Zorilla peer-to-peer grid middleware. All components can be deployed on any grid platform, due to the use of Java. Ibis has been used for many applications, including search algorithms, multimedia content analysis, video processing, and many others. Ibis is part of the Dutch Virtual Laboratory for e-Science (VL-e) project (http://www.vl-e.nl/). The project makes extensive use of the Distributed ASCI Supercomputer 3 (DAS-3), which is a Dutch Computer Science grid with a dedicated optical (40 Gb/s) wide-area interconnect (http://www.cs.vu.nl/das3).
The new Ph.D. student is expected to perform experimental research in new application domains for Ibis. Of particular importance are: distributed model checking (for which we have a prototype implementation on wide-area DAS-3), e-Science applications, and cloud computing. The main aim of the research is to explore the potential benefits of large-scale distributed supercomputing in new and emerging application areas, and to expand the capabilities of the Ibis system as a whole.
Requirements
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University Graduate
Requirements
A M. Sc. in Computer Science, ample experience with systems programming, knowledge of parallel computing. Fluent English reading/writing skills are mandatory.
Organization
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VU University Amsterdam Faculty of Sciences
Amsterdam, the capital of the Netherlands, has been a renowned cultural, scientific and commercial centre for many centuries. It was here, in 1880, that the VU University Amsterdam first opened its doors to students. VU stands for ''Vrije Universiteit'', which means ''Free University''. Here, ''free'' refers to freedom of state and church interference. Vrije Universiteit Amsterdam was established in 1880 by orthodox protestants. Nowadays it aims to be inspiring, innovative and involved.
Throughout the past century, the university has continued to expand. It now comprises twelve faculties and has teaching facilities for 18,000 students.
Click here for an overview of faculties and institutes: http://www.english.vu.nl/About_the_VU/
The university campus and university hospital are situated in the south-western part of Amsterdam, one of the most dynamic and fast-growing business districts in the Netherlands. The international airport of Schiphol-Amsterdam is 10 kilometres away, just 8 minutes by train. With more than fifty undergraduate (or bachelorõ?Ts) programmes and almost a hundred postgraduate (or masterõ?Ts) programmes, the Vrije Universiteit Amsterdam offers a wide choice of study options. The programmes are of a high quality, the atmosphere is very conducive to study, and the teaching staff is easily accessible.
The Faculty of Sciences offers 9 Bachelorõ?Ts and 12 Masterõ?Ts programmes within the disciplines Computer Sciences, Physics & Astronomy, Chemistry & Pharmacochemistry and Mathematics. The education programme is strongly connected to the various research activities. The faculty offers excellent research facilities in highly specialized laboratories as well as unique computing facilities.
Con***ions of employment
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Employment basis: Temporary for specified period
Duration of the contract: temporary
Ad***ional con***ions of employment:
Appointment
The appointment will be initially for 1 year. If the results are satisfactory the appointed period will be prolonged for 3 more years, and is intended to result in a dissertation. You can visit our website http://www.vu.nl/vacatures for a review of working con***ions at the VU.
Salary
Gross monthly salary starts at õ,ơ 2.000,- in the first year and increases to õ,ơ 2.558,- in the last year of the appointment, based on a full-time employment.
Ad***ional Information
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Or ad***ional information can be obtained through one of the following links.
About the organization
About the department
About the function
Application
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You can apply for this job before 20-10-2008 by sending your application to:
VU University Amsterdam
Faculty of Sciences - Dept. P&O
De Boelelaan 1083-a
1081 HV Amsterdam
The Netherlands
E-mail address: few-vacatures@few.vu.nl
Information and application
For more information you can contact Prof. Dr. H.E. Bal, e-mail: bal@cs.vu.nl (away during 7-29 July) and
Dr. F. Seinstra, e-mail: fjseins@cs.vu.nl.
Applications including a detailed CV with one or two references should be sent before Oktober 20 , 2008
to the VU University Amsterdam, Faculty of Sciences - Dept. P&O, attn. Prof. Dr. H.E. Bal, De Boelelaan
1083-A, 1081 HV Amsterdam, The Netherlands, or by e-mail: few-vacatures@few.vu.nl. The vacancy number should be mentioned in the e-mail header or at the upper left corner of the letter and envelope.
Any other correspondence in response to this advertisement will not be dealt with.
When applying for this job always mention the vacancy number 1.2008.00218.

10 Research Grants for PhD Students and Postdoc Researchers
The Center of Excellence Cognitive Interaction Technology (CITEC) at Bielefeld University has been established in the framework of the Excellence Initiative as a research center for intelligent systems and cognitive interaction between humans and technical systems. The CITEC agenda comprises the central topics of motion intelligence, attentive systems, situated communication, and memory and learning. lt combines the knowledge of computer scientists, biologists, physicists, sports scientists, linguists and psychologists in order to understand the processes and functional constituents of cognitive interaction. In ad***ion, research and development are directed towards establishing cognitive interfaces that facilitate the use of complex technical systems.
The Graduate School Cognitive lnteraction Technology offers research grants for PhD students and Postdoc researchers willing to contribute to the cross-disciplinary research agenda of CITEC. The international profile of CITEC fosters the exchange of researchers and students with related scientific Institutions. A structured training program offers support for scientific career advancement and professional orientation.
We invite applications from outstanding young scientists. Successful candidates must hold an excellent academic degree (MSc/Diploma/PhD) in the related disciplines, be already engaged in research, and proficient in both written and spoken English. The research grants will be given for the duration of three years starting winter term 2008.
Complete applications include: a cover letter providing information about the qualification and the motivation of the candidate, a CV including publication list and research experience, certificates of academic qualifications, as well as a description of the research interests with regard to the research areas of CITEC (max. 8500 characters) or the sketch of a PhD project. Please do not hesitate to contact CITEC researchers in advance if you want to concretize your project idea. For a complete list of researchers and details about the application visit: www.cit-ec.de. Please provide your documents as electronic data (pdf).
We welcome applications from severely handicapped people. We particularly welcome applications from women. Given equal suitability, qualifications and professional achievement, women will be given preference, unless particular circumstances pertaining to a male applicant predominate.
Applications arriving no later than September 14, 2008 will be guaranteed to receive full consideration in the current call. Please submit your application to Prof. Thomas Schack, Head of Graduate School
E-Mail: gradschool@cit-ec.uni-bielefeld.de
Center of Excellence Cognitive Interaction Technology
Prof. Thomas Schack, Head of Graduate School
Cognitive Interaction Technology
Contact address: Claudia Muhl, Manager of Graduate
School, phone: +4940)521-106-6566
For further information about CITEC, please visit:
www.cit-ec.de

Funded PhD Position in Human Computer Interaction, Affective Computing
and Evaluation at the University of Lugano, Switzerland
Project Summary:
DEDUCE - Design of new tools to express Emotions During User Centred Evaluation - is funded by the Swiss National Science Foundation
(SNSF). The project will aim at designing, implementing and evaluating new tools for allowing easier interaction with users when measuring
usability of interactive systems. These new tools should stimulate free expression of emotions generated by interaction with system under evaluation and provide a mean to record these too. It is expected that these new interactive tools will be engineered in such a way to be used not only at evaluation time to facilitate users but also *****pport evaluators while analysing data.
The PhD position is in the Faculty of Informatics of the University of Lugano (USI) in Switzerland, http://www.inf.unisi.ch/. The successful candidates will build on the Faculty''s ongoing research and will help define and explore this exciting area of research.
Applicants must have a strong background in Computer Science and/or closely related areas (e.g. Mathematics, Statistics or Engineering with strong emphasis on Computer Science) a keen interest in HCI /e- publishing topics and excellent skills in both written and spoken English, as the working language of the Faculty is English.
The appointment will be for 3 years, starting as soon as possible. The salary will be CHF 39''600 for the 1st year, growing to CHF 45''600 for the 3rd and 4th year. PhD fees are paid by the project.
Applicants are requested to send:
* a curriculum vitae and a list of publications
* the name of 3 references;
* a letter clearly stating the motivation to apply.
Deadline for submitting applications is November 1st 2008, or until the position is filled. Informal inquiries about these vacancies can be sent to Dr Monica Landoni (monica.landoni@unisi.ch).

Funded PhD positions in the area of middleware for adaptation and fault-tolerance, University of Oslo
The group of Networks and Distributed systems at the Department of Informatics, University of Oslo
is announcing two PhD scholarships in the area of middleware for adaptivity and fault-tolerance.
PROJECT DETAILS
The positions are in the framework of the VERDIONE project. VERDIONE targets cooperative multimedia applications that blend virtual elements into the real world. VERDIONE will develop a platform that allows people who are distributed around the globe to interact with each other as though they were co-located. This is a joint project between several Norwegian partners including the University of Oslo, Simula Research Laboratory, University of Tromsá, University College Tromsá, Telenor R&I and LIVIDI. Through the World Opera Consortium, the project will also imply cooperation with several top-ranked international partners, such as Stanford University, McGill University, New York University and the main opera houses in New York (The Met), Montreal, San Francisco, Malmá, Copenhangen, Stockholm, and Milano.
The objective for the announced positions is to explore solutions for providing adaptivity and fault-tolerance for VERDIONE.
EMPLOYMENT DETAILS
A PhD position is a regular job with social benefits and with salary starting from 353.000 NOK per year.
The currently open positions are for three years with a possibility to apply for extending the time period to 4 years. A 4 year position means that 25% of the time will be for duties beyond the normal research and project work, such as teaching and supervision of master students.
HOST INSTITUTION AND ENVIRONMENT
The University of Oslo is Norwayõ?Ts largest and oldest institution of higher education. Founded in 1811, today the University of Oslo has approx. 30,000 students and 4,600 employees. Four Nobel Prize winners and two Turing award recipients indicate the quality of the research at the University in general and at the Department of Informatics in particular.
The country, also known for its unique scenic beauty, has been ranked by the UN as having the highest standard of living in the world. Oslo is considered one of the sunniest places in Northern Europe, with summer temperatures averaging 21 degrees Celsius.
SUITABLE BACKGROUND AND REQUIREMENTS
Applicants must have a very good degree in Computing Science or a related field. They must also demonstrate evidence of significant research potential. Strong background in distributed computing will
be considered an advantage.
It is possible to apply if you have not yet completed your degree but expect to do so before a position starts.
University of Oslo is an equal opportunity employer. Female candidates are welcome to apply.
Knowledge of Norwegian is not a prerequisite for application. English is our working language for research. The current PhD students and postdocs in our group are coming from over 5 countries.
CONTACTS AND FURTHER INFORMATION
Full version of this announcement including detailed information about the projects, positions, and application procedures can be found using the following links:
2 Ph.D Research Fellowships
Networks and Distributed systems (ND)
http://www.ifi.uio.no/forskning/grupper/nd/projects/2008/verdione/
Opportunities at Networks and Distributed systems (ND)
http://www.ifi.uio.no/forskning/grupper/nd/opportunities.html
Inquiries for ad***ional information should be sent to Professor Frank Eliassen, frank[ at ]ifi.uio.no, or
Associate professor Roman Vitenberg, romanvi[ at ]ifi.uio.no, or Head of administration Narve TrƯdal, narvet[ at ]ifi.uio.no

PhD position on Robots in the Metaverse
Eindhoven, (Noord-Brabant), 40 hours per week Technische Universiteit Eindhoven


Job description
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The Metaverse (global standards among real and virtual worlds) project will provide a standardized global framework that enables the interoperability between virtual worlds (as for example Second Life, World of Warcraft, IMVU, Google Earth and many others) and the real world (robots, sensors, actuators, vision and rendering, social and welfare systems, banking, insurance, travel, real estate and many others). The project is a funded through the European ITEA organization and the Dutch SenterNovem organization.
The Metaverse project will start with a state-of-the-art review of existing technology. The first step to classify robots is to create a taxonomy and nomenclature that may be inspired by the Linnaean classification system. The robot taxonomy will define the criteria on which the classes and orders may be distinguished. Some first works on robot taxonomies are available (Fong, Nourbakhsh, & Dautenhahn, 2003; Yanco & Drury, 2004) and will be examined for applicability. The robot taxonomy will then be applied to robots, starting with currently available robots and then extending to historical important robots. Their data will be gathered in a web-based database, the Internet Robot Database (IRDB). The IRDB will be setup as a community process that will enable the interested audience to continuously expand and improve the database. Based on the IRDB and the taxonomy, a communication standard and protocol will be developed in close collaboration with the other Metaverse partners, including Philips Research, Vrije Universiteit Amsterdam and Utrecht University. Last, several usage scenarios for the communication standard and protocol will be developed and tested.
Requirements
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University Graduate
The candidate should have a Masters degree in computer science, information science or a close related field. He/she should be seriously interested in robotics, taxonomies, web technologies and communication protocols, as witnessed by project results or relevant courses. The candidate must be able to co-operate in a multidisciplinary and international team. The candidate needs to have a scientific attitude and the motivation to perform his/her research at the high level of technological design within the given time frame.
Organization
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Technische Universiteit Eindhoven Department of Industrial Design
The department of Industrial Design of the Technische Universiteit Eindhoven (TU/e), founded in 2001, is a rapidly growing department with over 500 students, both Bachelor and Master, and around 150 staff members. With a strong emphasis on research the ID department focuses on the design of intelligent products, systems, services and networks. These innovative products enable people to interact with their environment in an optimal and flexible way. The TU/e ID engineer, who has developed a wide range of competencies during his/her education, is capable of integrating technology, user aspects, design and business/marketing insights. This MSc-program is practice oriented, capable to deal with and aware of relevant issues as formulated by industry and society at large. Ambient Intelligence and Ambient (health) Care draw special attention within the TU/e and ID particular, and is an important research and application field. ID encompasses four areas: Technology covered by the Designed Intelligent (DI) group, User aspects, covered by User Centered Engineering (UCE) group, Design, covered by the Designing Quality in Interaction (DQI) group, and Business, covered by the Business Process Design (BPD) group.
Con***ions of employment
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Estimated maximum salary per month: eur 2000 - 2500
Employment basis: Temporary for specified period
Duration of the contract: 4 years
Maximum hours per week: 40
Ad***ional Information
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Ad***ional information about the vacancy can be obtained from:
Dr. Christoph Bartneck
Telephone number: +31(0)402475175
Ms. Julma Braat
Telephone number: +31(0)402475883
E-mail address: j.a.c.l.braat @tue.nl

Or ad***ional information can be obtained through one of the following links.
About the organization
Application
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You can apply for this job before 01-10-2008 by sending your application to:
Technische Universiteit Eindhoven
HG 3.92
Ms. J. Braat
Postbus 513
5600 MB Eindhoven
Nederland
E-mail address: j.a.c.l.braat@tue.nl
When applying for this job always mention the vacancy number V51.062.
The short URL code for this job opening is: 00357-502.
You can use this as a direct link to the job by adding the code to the URL www.academictransfer.org/

Link: http://phd.kuleuven.be/set/voorstellen_dbof.php
Description : A PhD position is available at the department of Computer Science of the K.U.Leuven (Belgium) for a motivated scientist with an interest in relational learning, text processing and image analysis. The title of the project is ?oRelational Learning for Text and Imagê?. One position focuses on text, the other position focuses on image analysis. These positions are targeted at candidates from non-EEA countries (European Economic Area = European Union + Iceland, Liechtenstein and Norway). Applications are invited from enthusiastic graduates with an excellent study track record. We offer a challenging research environment and an intense experience leading to a PhD degree.
Homepage : Arenberg Doctoral School
Contact address : Arenberg Doctoral School Science, Engineering & Technology Willem de Croylaan 6 - bus 2000 3001 Heverlee Belgium Tel: +32 16 328159

PhD Studentship in Computer Vision for location based services, sponsored by HPLabs Innovation Research Award, UK
Department of Computer Science
We are looking for a motivated, hard working and insightful student to research on methods that use Computer Vision and mobile sensors to enable location based services.
This is a research collaboration between the University of Bristol and Hewlett-Packard Research Laboratories UK.
The project aims to develop novel methods for positioning a mobile device using a combination of image based location sensing, inertial sensors and external information such as GPS. The intended application is in enabling location services and virtual augmentations.
The successful candidate will join the Computer Vision Group at the Department of Computer Science, where we have developed a number of real-time visual location and mapping systems that we have applied to augmented reality and robotics. The University of Bristol is one of the very best universities in the UK and Computer Science one of its most successful departments. The selected student will also be eligible to apply for the regular HPLabs internships.
There are no restrictions on nationality as the scholarship can cover overseas university fees and includes a stipend for living expenses. Funding is provided by HP on a yearly basis subject to satisfactory performance for up to three years.
We are looking for the finest candidate from anywhere in the world to join our research team and invite interested students with a good MSc or undergraduate degree in Computer Science, Mathematics, Physics or equivalent to apply. Applicants should have provable excellent C and/or
C++ programming ability (ideally in both Windows and Linux OS), as well as strong mathematical skills. Experience with Computer Vision or related methods is highly desirable and awareness of algorithm design in the context of mobile platforms would be a bonus.
The post will be filled when sufficient high quality applications are received. Therefore, applying as soon as possible is advisable.
Ideally we would like to start the project in October 2008 or earlier.
The project lead and supervisor will be Dr Walterio Mayol-Cuevas, in close collaboration with a team of experts at the Pervasive Computing Lab at HPLabs Bristol.
For further details on the project and application procedure please visit:
http://www.cs.bris.ac.uk/~wmayol/HPaward/
Informal enquiries regarding this studentship can be made by contacting Dr Walterio Mayol-Cuevas viawmayol@cs.bris.ac.uk / wmayol@cs.bris.ac.uk with subject â?oHP Research awardâ?.

In the context of the Center of Excellence "Cognitive Interaction Technology" (CITEC) the Computer Graphics & Geometry Processing Group at the Faculty of Technology of Bielefeld University is offering several full-time positions for
Researchers/PhD Students
with salary TV-L E13, starting as soon as possible, for 2 years with the option of an extension. Temporary positions are based on Đ 2 Abs. 1 Satz 1 WissZeitVG.
The Computer Graphics & Geometry Processing Group is working on efficient representation, processing, and visualization of digital geometric models. Interesting topics are, for instance, new techniques for 3D model acquisition, optimization of the resulting discrete volume or surface meshes, as well as interactive modeling or physically-based simulation of dynamic geometric objects. Application areas of these research topics include classical CAD/CAGD, finite element methods, medical applications, computer animation, and computer games. More details on these research fields can be found at http://graphics.uni-bielefeld.de/research.
Candidates must have a university degree (Diplom/MSc) in computer science, mathematics, or a related discipline, and should have experience in the development of algorithms and software for computer graphics. Further knowledge in geometry processing, e. g. based on spline surfaces or polygonal/polyhedral meshes, is desired. Good command of English and experience in C++ programming are required. Candidates are ad***ionally expected to be interested in interdisciplinary research within the Center of Excellence CITEC (http://www.cit-ec.de) and to assist in teaching.
We explicitly welcome applications from women. Preference will be given to women with equal aptitude, ability, and subject field, provided the reasons to employ a rival applicant to not outweigh.
Disabled candidates are given preference.
Please send applications with the relevant documents or address questions to:
Prof. Dr. Mario Botsch
UniversitÔt Bielefeld
Technische FakultÔt
AC Computergrafik & Geometrieverarbeitung
Postfach 100131
33501 Bielefeld, Germany
Phone: +49-521-106-6570
E-Mail: botsch@techfak.uni-bielefeld.de
Final date for application: 30 September 2008.

Two PhD Positions in Computer Science / Document Image Analysis at ESIEE Paris, France
Further to the acceptance of a project funded by the French Ministry of Industry, ESIEE Paris seeks applicants for two PhDs in the field of Computer Science and Document Image Analysis (DIA). For an overview of the activities of the Department, please visit:
http://www.esiee.fr/en/research/a2si.php
The overall goal of the project is to improve an existing document analysis system, which is able to convert various type of documents, most of them originating from the French heritage and assuming various physical forms (books, microfilms, postcards, civil deeds, etc.). The novelty of the PhD comes from the proposed methodology, which suggests processing images directly in grey levels rather than in their binarized version.
Strong knowledges in image analysis and processing, as well as the technical mastery of a programming language (such as C++ or Java) are a must. Ad***ional knowledges in mathematical morphology for the first position, and experience with an environment such as Matlab or R, or further knowledges on statistical classification/recognition methods (SVM, neural networks, bayesian networks, õ?Ư) for the second position would be ad***ional assets.
Interested applicants should be either French-speaking or fluent in english. Resumes, possibly including a publication or a manuscript, and motivation letters should be sent by e-mail only to:
l.najman[ at ]esiee.fr for position 1
x.hilaire[ at ]esiee.fr for position 2
Duration : 36 months
Salary : 39 kõ,ơ per annum.
Expected starting date : November 2008.
Position 1 : Document image enhancement using topological and morphological filters in simplicial complexes
The aim of the PhD is to improve the quality of the document images by rectifying as much as possible the various consequences of noise, which appear either at pixel level (white noise, locally low contrast, blotting effect of the paper), or at character level (ink default, paper defect, broken characters). Page level defects other than white noise (e.g., rotation, uneven feeding of paper when using roll scanners), however, need not be addressed.
We propose to design a morphological and topological filtering method that operates within the framework of greylevel simplicial complexes. Our idea is to process images at subpixel level only, and to refrain from binarizing it. When processing printed text, the method aims to provide an image with characters as close as possible to the ground truth (without it be possible, however, to formally state its performance, since the commercial OCR FineReader will be used as a black box in the real processing chain). When coping with handwritten text, the method shall compute, word by word, a filtered skeleton of these words that will be used as input to feed an HCR.
In both cases, formal performances of the filtering method will be established based on the specifications of a public OCR and HCR, and proped up with experimental validations using FineReader and DocumentReader in the framework of the project.
Position 2 : Contextual segmentation of document images using greylevel texture analysis
Document page segmentation is to automatically recognize and extract its various components (text and text blocks, mathematical formulas, halftones, captions, õ?Ư).
Numerous segmentation methods are available in the literature. The usual taxonomy grossly fits them into three families : top-down methods (one starts from an entire page, then recursively split it until a criterion is satisfied on each region), bottom-up methods (the opposite approach), and hybrid methods. The latter family obviously gathers methods that take advantage of both top-down and bottom-up strategies, but also those which rely on texture analysis (Gabor analysis, co-occurrence, HTD, edge histograms, etc.).
One critic that may be addressed to almost all of the existing methods is their inability to process any image but binary ones, as most of them generally need to separate the background from the foreground of the document very early. The aim of the PhD is to design a texture-based method, which would improve over the existing ones in three different manners :
1. By using greylevel texture descriptors : the ad***ional information conveyed by greylevels should result in a significant accuracy of the descriptors, and thereafter in that of the segmentation itself. It would even be desirable to define or use color whenever color is available.
2. By contextualizing the segmentation : although heterogeneous, the document corpus remains rather well identified. Our idea is then to introduce document models that could not only permit to modify the probability laws that a pixel belongs to a class given the document and the corpus, but also to give an a posteriori explanation of these laws taken jointly. Bayesian networks, in particular, could constitute an appealing framework to solve this problem.
.
3. By explicitly modelizing and explaining noise : it is highly desirable that the segmentation method modelize noise as a class of its own, and be able to explain it. Such an approach has already been proposed in the literature, for instance for distinguishing between handwritten and printed text on binary images by Zheng et al., and exhibited interesting results. Significant improvements are to be expected by a similar approach extended in grey levels.

Ph.D. candidate in the project ?~OANEC
Amsterdam, 1081, (Noord-Holland), VU University Amsterdam


Job description
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Research project
?~Information dominance and superiority?T, ?~network centric warfarê?T and ?~agility and adaptivity?T are terms that have become part of the lexicon associated with the transformation of the military force. The concept of Network Enabled Capabilities (NEC) involves the use of complex, networked systems, consisting of many components that are heterogeneous in functionality and capability with both nonlocal and non-linear interactions and effects. The goal of the research is to investigate the interaction between various network topologies on the one hand and type of agents on the other hand with respect to completing some mission. We like to develop measures of effectiveness or fitness that can be used to evaluate the various configurations. These measures can be in terms of well-know or new (mathematical) network characteristics, and agent characteristics. We use experiments and scenarios to infer, test and evaluate these measures. The new Ph.D. student is expected to research: the relationship between the network?Ts architecture, its agents and the completion of missions; the evaluation of performance if networks and/or agents show stochastic behaviour; how to design/train (the topology of the) networks and (type of) agents to achieve desired properties; study the propagation of information through the networks and prevention of false information dissemination by examining the topologies and types of agents; measurement of success in completing some mission/problem that can be ascribed to network topologies and agents?T behaviour, the collaboration, self-synchronization and agility of networks and agents.
Requirements
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University Graduate
A M.Sc. in Computer Science. Fluent English reading/writing skills are mandatory.
Ad***ional information about the job:
The VU University Amsterdam is one of the leading institutions for higher education in Europe. It is part of international science networks and collaborates with many major universities throughout the world. The Faculty of Sciences consists of four departments, with 650 employees including researchers, lecturers, full- and part-time professors In the research group of Computational Intelligence, we have a vacancy for a Ph.D. student in the project ?~OANEC: Operations Analysis support to Network Enabled Capabilities?T. This project is a collaboration between the VU University and the Netherlands Defence Academy.
Summary
Within the general areas of computational intelligence and operational research, we are looking for a Ph.D. student to investigate the interaction between agent network topologies and types of agents with respect to system performance.
Organization
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VU University Amsterdam Faculty of Sciences
Amsterdam, the capital of the Netherlands, has been a renowned cultural, scientific and commercial centre for many centuries. It was here, in 1880, that the VU Amsterdam first opened its doors to students. Throughout the past century, the university has continued to expand. It now comprises twelve faculties (Arts, Earth- and Life Sciences, Dentistry, Human Movement Sciences, Economics and Business Administration, Law, Medicine, Philosophy, Psychology and Education, Sciences, Social-Cultural Sciences and Theology) and has teaching facilities for 15,000 students.
The university campus and university hospital are situated in the south part of Amsterdam, one of the most dynamic and fast-growing business districts in the Netherlands. The international airport of Schiphol-Amsterdam is 10 kilometres away, just 8 minutes by train.
With more than fifty undergraduate (or bachelor''s) programmes and almost a hundred postgraduate (or master''s) programmes, the VU Amsterdam offers a wide choice of study options. The programmes are of a high quality, the atmosphere is very conducive to study, and the teaching staff is easily accessible.
The Faculty of Sciences offers 9 Bachelor?Ts and 12 Master?Ts programmes within the disciplines Computer Sciences, Physics & Astronomy, Chemistry & Pharmacochemistry and Mathematics. The education programme is strongly connected to the various research activities. The faculty offers excellent research facilities in highly specialized laboratories as well as unique computing facilities.
Con***ions of employment
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Employment basis: Temporary for specified period
Duration of the contract: temporary
Ad***ional con***ions of employment:
The appointment will be initially for one year. If the results are successful the appointed period will be prolonged for in totally 4 years, intended to result in a dissertation. You can visit our website www.vu.nl/nl/werken-bij-de-vu/vacatures/index.asp for a review of working con***ions at the VU.
Salary
Gross monthly salary starts at , 2.000,- in the first year and increases to , 2.558,- in the last year of the appointment, based on a full-time employment.
Ad***ional Information
--------------------------------------------------------------------------------

Or ad***ional information can be obtained through one of the following links.
About the organization
About the department
About the function
Application
--------------------------------------------------------------------------------
You can apply for this job before 13-10-2008 by sending your application to:
Vrije Universiteit
Faculty of Sciences - Dept. P&O
Dr. M.C. Schut
De Boelelaan 1083-a
1081 HV Amsterdam
The Netherlands
E-mail address: few-vacatures@few.vu.nl
Information and application
For more information you can contact Dr. M.C. Schut, e-mail: schut@cs.vu.nl, Dr. H. Monsuur,
e-mail: H.Monsuur@nlda.nl, and Prof. Dr. A.E. Eiben, e-mail: gusz@cs.vu.nl.
Applications including a detailed CV with one or two references should be sent before October 13, 2008 to the VU University Amsterdam, Faculty of Sciences - Dept. P&O, attn. Dr. M.C. Schut, De Boelelaan 1083-A, 1081 HV Amsterdam, The Netherlands, or by e-mail: few-vacatures@few.vu.nl. The vacancy number should be mentioned in the e-mail header or at the upper left corner of the letter and envelope.