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我是国内某top10学校的计算机专业读的本科,后来在这个学校保研,后来又选择了硕博连读,现在研2毕业了,下半年就要开始博士阶段了。开始还是听信了老板的话,在哪搞都一样,出不出去不是太重要。后来慢慢的才发现国内太假了,老板整天到处拉横向项目搞钱,完全不搞学术吗,我们通常一个月都难得见到他一次,郁闷!这样搞下去这博士是白读了。。。
看到一些同学在申请出国,我也动了这个念头。但是现在准备10月的gre恐怕来不及了,美国是去不了了,要等到明年再考又要耽误一年,受不了。看到到荷兰读博似乎雅思都不需要考,所以,呵呵。。。
本人的背景大致如下:
国内某top10学校的计算机专业,本科gpa 3.2,有两篇一般的国际会议的文章(自然语言处理方面),还有篇在审中,在某航天研究所访问过一段时间,其他好像也没什么了。

请各位ggjj们看看小弟的情况,申请荷兰的博士怎么样啊?荷兰那些学校计算机好点啊?机会大不大啊?
在荷兰读完后能留在荷兰工作吗?
小弟谢谢大家了!

精彩评论7

jimmyguang  高级海盗  2007-8-6 22:27:07 | 显示全部楼层 来自: 荷兰

回复: 问下关于申请计算机博士的问题???

"请各位ggjj们看看小弟的情况,申请荷兰的博士怎么样啊?"
There should be more benefits here than getting a PhD in China. At least you can find a good group actually doing research.
荷兰那些学校计算机好点啊?"
depends on the subject. UvA, VU,Delft, Twente all have computer science related subjects, try specific group
机会大不大啊?
seems OK, but still depends on the group. Just try.
在荷兰读完后能留在荷兰工作吗?
hehe, I don't wanna stay and work here.. The center of computer science is not here, and there is a huge demand of computer guys worldwide..
vvu  高级海盗  2007-8-14 12:28:14 | 显示全部楼层 来自: 荷兰

回复: 问下关于申请计算机博士的问题???

1)
JOB OFFERS FOR PH.D. STUDENTS IN THE DOMAIN OF INFORMATION
RETRIEVAL

KATHOLIEKE UNIVERSITEIT LEUVEN (K.U.Leuven), BELGIUM

We offer a position for a researcher working towards a Ph.D. in computer
science on the topic of *multimedia summarization*. The research is partly
performed in the frame of the EU-FP6 CLASS (Cognitive-Level Annotation
Using Latent Statistical Structure) project (http://class.inrialpes.fr/).
The goal is to summarize video broadcasted by different news channels
(e.g., BBC, CNN, ABC) while jointly considering content from video images
and accompanying text. The Ph.D. candidate will research models for
extraction of salient content by exploiting multimodality and use these
models for generating textual descriptions for the summarized video. The
candidate has a strong interest in text summarization, natural language
processing, text generation and probabilistic topic models, and has an
affinity with the domain of image recognition. In this research we
collaborate with the Department of Electrical Engineering (Visics) of the
K.U.Leuven, INRIA, Grenoble (France), University of Oxford (UK),
University of Helsinki (Finland) and Max-Planck Institute for Biological
Cybernetics (Germany).

We offer a position for a researcher working towards a Ph.D. in computer
science on the topic of *alignment of multilingual and multimedia
information*. The research is performed in the frame of the AMASS++
(Advanced Multimedia Alignment and Structured Summarization) project
(http://www.cs.kuleuven.be/~liir/projects/amass/index.html), where we
build crossmedia and cross-lingual summaries of content and present these
in a user-friendly way. The summaries rely on automatic content
recognition of the visual and textual medium that is reinforced by their
mutual and integrated processing. Research in natural language processing
that focuses on the alignment of equivalent content across texts (possibly
written in different languages) is a source of inspiration for innovative
models for cross-media alignment. As a test case we process the news
archives of Flemish, UK and US broadcasters. The candidate has a strong
interest in statistical machine translation and natural language
processing in general, and has an affinity with the domain of image
recognition. In this research we collaborate with the Department of
Electrical Engineering (Visics) and the Centre for Computational
Linguistics of the K.U.Leuven, and the Expertise Centre for Digital Media
of the University of Hasselt (Belgium).

We offer a position for a researcher working towards a Ph.D. in computer
science on the topic of *spam e-mail filtering*. The research is partly
performed in the frame of the EU-FP6 AntiPhish (Anticipatory Learning for
Reliable Phishing Prevention) project
(http://www.antiphishresearch.org/partners.html), where we build filters
for phishing mails. The focus is on natural language processing of the
texts of the e-mails and the summarization of the mails in terms of the
general and specific topics treated, and on developing models for
predicting future phishing topics based on phishing contexts. The
candidate has a strong interest in machine learning, natural language
processing and probabilistic topic models. The research is performed in
collaboration with Fraunhofer Institute for Intelligent Analysis and
Information Systems (IAIS), Symantec (GB and IRL), Tiscali Group (Italy),
and Nortel Networks S.A. (France). We offer a position for a researcher
working towards a Ph.D. in computer science on the topic of *question
answering information retrieval*. The research is performed in the frame
of the European ITEA 2 LINDO (Large scale distributed INDexation of
multimedia Objects) project (Web site of the project is under
development). The research focuses on the querying of multimedia content
by means of questions posed in natural language, and on ranking algorithms
that compute the relevancy of a multimedia object for the query where the
multimedia objects are represented as topic maps (ISO standard). The
designed and developed technology will be applied for the retrieval of
information from technical documentation for astronauts, surveillance
videos and satellite images. The candidate has a strong interest in
question answering technology, graph based algorithms and natural language
processing. The work is done in collaboration with the companies Space
Applications (Belgium) and Linguit (UK). The successful candidate has a
strong background in informatics, computer science or artificial
intelligence.

We offer a job in a growing and dynamic team with international reputation
in collaboration with key members of academia, industry and governments,
and give the candidate the opportunity to present the research results at
multiple international conferences. The gained expertise will give him or
her also a solid basis for a future career with considerable academic and
economic potential in the information searching and mining market. We
offer Ph.D. students a very competitive wage. Our research group
(htpp://www.law.kuleuven.be/icri/liir.php) moves to the Department of
Computer Science of the Katholieke Universiteit Leuven before October 1,
2007. All jobs will start October 1, 2007 or earlier. Send your questions,
vvu  高级海盗  2007-8-14 12:28:46 | 显示全部楼层 来自: 荷兰

回复: 问下关于申请计算机博士的问题???

---------------------------------------

2)
PhD position on "Design and Analysis of Data Paths Using Petri Nets"
(Octopus project)

In the context of the Octopus (System adaptability in the domain of digital document printing systems) project we are looking for a PhD candidate with a strong technical background in process modeling and analysis. The Octopus project involves Océ, the Embedded Systems Institute, Technische Universiteit Eindhoven (TU/e), and three other Dutch universities. Océ-Technologies B.V. (www.oce.com), is a large supplier of such printing systems and serves as the main industry partner in this project. The overall goal is to develop cutting edge research in one of the really relevant and fastest growing technology fields of today on embedded, adaptable, mechatronics systems. The project started in July 2007, and is subsidized by the Ministry of Economic Affairs of The Netherlands.

The AIS group is doing research in the area of process modeling and analysis. The group uses formal methods such as Petri nets to design, analyze, and implement dynamic systems. The group is well-versed in process modeling, process verification, formal methods, (colored) Petri nets, and process mining. Therefore, the main contribution of AIS group in the Octopus (System adaptability in the domain of digital document printing systems) project will focus the design and analysis of data paths in printers/copiers.

The Octopus project focuses on evolvability aspects of high-tech embedded systems. In particular, the project focuses on run-time evolvability, i.e. system adaptability. The aim of the project is to define new techniques, tools, and methods that help to design software-intensive electro/physical/chemical/mechanical systems, like professional printers, that react in an adaptive way to changes during usage. The system itself can make on-line trade-offs between system aspects as opposed to designers doing it during development. This way it becomes possible to optimally address the different and changing demands of the customers on the same system. However, it is obvious that this implies many research challenges.

The contribution of AIS in the project focuses on the "Data Path Design" aspect. The data path of a printer/copier encompasses the complete path of the image data (the bit stream) from source (for example the network) to target (the imaging unit). In order to reach the overall project objective of genuine system adaptability, also the data path has to be adaptive. To realize this type of behavior in a predictable way is a major challenge. To realize an efficient design methodology for high quality data paths, including hardware and software mapping, of adaptive multi-functional printers and copiers, we will use (colored) Petri nets to model and analyze data paths.


Requirements:
We are looking for candidates with a solid background in computer science (demonstrated by a relevant MSc or PhD) and interested in the modeling of complex technical systems. Candidates with a strong background in formal methods (e.g., Petri nets or process algebra) and experience in process modeling techniques such as UML are especially welcomed. Candidates from non-Dutch or non-English speaking countries should be prepared to prove their English language skills. Moreover, candidates are expected to have affinity for research with an industrial focus.

Employment:
- Full-time employment for four years.
- A salary according to the standard university regulations.
- Support for your personal development and career planning.
- Attractive secondary labor conditions.
- The selected candidates will be employed by TU/e, but a significant part of the activities will take place at the Embedded Systems Institute also located in Eindhoven.

Procedure:
Interested candidates are requested to send an application (motivational letter, curriculum vitae, copies of diplomas, as well as proof of English language skills) by e-mail to office@esi.nl with a reference to "Octopus" and application code "Octopus-PhD-01" indicated in the subject field. More information about the Octopus project may be obtained via the ESI office, cf. office@esi.nl and http://www.esi.nl/. Check the ESI website for instructions before submitting.

For more information about the position within AIS, please contact prof.dr. Wil van der Aalst http://is.tm.tue.nl/staff/wvdaalst/ or Marc Voorhoeve http://wwwis.win.tue.nl/~mvoorhoe/.
vvu  高级海盗  2007-8-14 12:29:18 | 显示全部楼层 来自: 荷兰

回复: 问下关于申请计算机博士的问题???

-----------------------------------------
  3)
  
  We are collecting applications until August 1, 2007 and will
  
  then start evaluating candidates for this exciting project!
  
  
  
  The Department of Mathematics and Computer Science of the
  
  Technische Universiteit Eindhoven has a vacancy for a
  
  
  
  PhD Student/promovendus (1.0 fte)
  
  "GAF: Generic Adaptation Framework"
  
  
  
  V32.989
  
  
  
  within the expertise group databases and Hypermedia (DH).
  
  
  
  The Databases and Hypermedia group is world-leading in the area
  
  of adaptive hypermedia and adaptive web-based information systems.
  
  The group has produced the most referenced reference model for
  
  adaptive hypermedia and developed the most popular general-purpose
  
  adaptive hypermedia system AHA!. The group also works in application
  
  fields for adaptive technology, including e-learning and e-culture.
  
  
  
  The PhD research will be performed under the guidance of prof.dr.
  
  Paul M.E. de Bra, one of the leading scientists in the adaptive
  
  hypermedia community. Other project participants include
  
  dr. Mykola Pechenizkiy, dr. Toon Calders, dr. Lora Aroyo,
  
  and prof.dr.ir. Geert-Jan Houben, with ample experience in data mining,
  
  adaptive educational hypermedia and adaptive web-based information
  
  systems engineering.
  
  
  
  The aim of the GAF project is to define, research and develop
  
  a reference model (and prototype implementation) for adaptive
  
  information systems. The project is subsidized by the Dutch
  
  National Science Foundation (NWO).
  
  
  
  Project description:
  
  
  
  Adaptation of an information system or service to its users
  
  is a powerful and useful concept. It is particularly helpful
  
  for the reduction of the information overload such as is frequently
  
  experienced on the Internet. But it is equally helpful for guiding
  
  users towards "interesting" topics, products, artifacts or
  
  descriptions thereof in electronic shops, libraries or museums,
  
  or for filtering appropriate items from a general or
  
  domain-specific news feed.
  
  
  
  In 1999, a reference architecture model for adaptive hypermedia
  
  applications, called AHAM was defined, and an implementation closely
  
  following this model, called AHA!, was made available to the research
  
  community. This reference model unified the adaptive hypermedia
  
  research community and provided a leading generic architecture
  
  that spawned research activities in many directions. The impact of
  
  AHAM and AHA! is best illustrated by the fact that the papers
  
  introducing them have been cited more than 350 times.
  
  
  
  The research field of adaptive hypermedia or adaptive web-based
  
  information systems, however, has been growing rapidly during the
  
  past ten years and this has resulted in a plethora of new terms,
  
  concepts, models and prototype systems. As a result, AHAM does not
  
  include many of the recent new concepts. In particular, open corpus
  
  adaptation, ontologies, group adaptation, and data mining tools for
  
  adaptation are not or at least insufficiently supported.
  
  
  
  Therefore, the project aims at the development of a new, up-to-date
  
  reference model based on AHAM, called GAF, that provides a common
  
  reference in terms of both taxonomy and architecture. The new
  
  reference will be accompanied by an implementation of a modular
  
  generic adaptation framework that can be used for adaptive
  
  information systems (or AIS) research as well as for (further
  
  development into) commercial adaptive applications.
  
  
  
  Requirements:
  
  We are looking for a candidate who meets the following requirements:
  
  
  
  Candidates must have a Masters degree in Computer Science or a
  
  closely related field (A standard procedure for checking the
  
  equivalence of non-Dutch degrees will be followed).
  
  
  
  Good communicative skills in English, both in speaking and in writing.
  
  
  
  Appointment and salary:
  
  We offer:
  
  a full-time temporary appointment for a period of 4 years;
  
  a gross monthly salary of 1,956 euro during the first year
  
  up to 2,502 euro during the fourth year of the appointment;
  
  a broad package of fringe benefits (e.g. excellent technical
  
  infrastructure, child care, savings schemes, and excellent
  
  sports facilities).
  
  The PhD program is a 4 year program, which includes a number of
  
  courses (mandatory and elective), a significant body of research
  
  and writing and defending a PhD thesis. The Dutch universities
  
  jointly offer the course program through the SIKS research school,
  
  which is also a meeting place for PhD students in the field of
  
  information and knowledge-based systems.
  
  
  
  Information:
  
  More information can be obtained from:
  
  about the position: the project leader: prof.dr. P.M.E. de Bra,
  
  phone: +31(0)40-2472733,
  
  e-mail: debra@win.tue.nl
  (use "GAF project" in the subject to circumvent the spam filter);
  
  
  
  further information: mrs P.J. Evers BC, personnel officer,
  
  phone +31(0)40-2472321
  
  e-mail: pzwin@tue.nl
  
  
  Application:
  
  Interested candidates are requested to send their application to:
  
  Technische Universiteit Eindhoven, Dept. of Mathematics and
  
  Computer Science, Personnel Department, HG 6.22
  
  PO Box 513, 5600 MB  Eindhoven, The Netherlands
  
  You can send your application by e-mail to pzwin@tue.nl.
  
  Always also send a copy to the project leader at debra@win.tue.nl.
  
  
  
  The application should consist of the following parts:
  
  a motivation letter;
  
  a Curriculum Vitae;
  
  copies of your diplomas together with the lists of grades,
  
  and other relevant certificates;
  
  names and addresses of two experts willing to recommend you;
  
  proof of English language skills (if applicable).
vvu  高级海盗  2007-8-14 12:29:40 | 显示全部楼层 来自: 荷兰

回复: 问下关于申请计算机博士的问题???

------------------------------------------------
   
   4)
   
   Ph.D. Position
     Modeling Cognitive and Communicative Skills of Virtual Characters in Games
     
     
     The Human Media Interaction (HMI) department of the University of Twente, Enschede, the Netherlands is looking for a Ph.D. student to do research in modeling cognitive and communicative skills of virtual characters in the context of the Dutch national GATE project on games for training.
     
     We are looking for a Ph.D. student who will work on modeling the cognitive/mental attitudes of agents in a game (both virtual characters and human players): how are they represented and how are they related to the behavior of the agents? What is the influence of the mental attitude of an agent on its behavior and, vice versa, how does the behavior of other agents in the game affect an agent's mental attitude? The behaviors to be accounted for concern in particular the agent's verbal and non-verbal communication and social behavior.
     
     The HMI Department of the University of Twente comprises more than forty researchers (including 18 Ph.D. students). It is involved in many European and national projects and Networks of Excellence on smart environments, ambient intelligence, multimodal interaction, speech and natural language processing, multimedia retrieval, embodied agents, virtual reality, adaptive userfaces and affective computing, games and entertainment computing. The HMI department is also responsible for the Master of Science "Human Media Interaction" with more than fifty students.
     
     Salary max € 2.502 (level AIO, CAO Nederlandse Universiteiten); Gross salary starts with € 1.956,- per month in the first year and increases to € 2.502,- in the fourth year of employment. PhD students will be able to participate in the Dutch research school for Information and Knowledge Systems (SIKS, http://www.siks.nl/).
     
     Please send applications (with CV) or requests for more information to Prof.dr. Anton Nijholt (anijholt@cs.utwente.nl), Dr. D. Heylen (heylen@cs.utwente.nl) or Dr. M. Theune (theune@cs.utwente.nl).
vvu  高级海盗  2007-8-14 12:30:00 | 显示全部楼层 来自: 荷兰

回复: 问下关于申请计算机博士的问题???

5)
The Department of Information and Computing Sciences of the Universiteit
    Utrecht has a vacancy for a
   
                 PhD-student/promovendus (1.0 fte)
   
    within the Algorithmic Data Analysis (ADA) group (formerly: LDD group).
    The research of the Algorithmic Data Analysis group focuses on data mining
    and knowledge discovery, with special emphasis on applications in the
    biological domain. The ADA group has a strong reputation within the
    international data mining community.
   
    The research project "Algorithms for Nonparametric Monotone Classification
    (AMOC)" aims at the development of efficient learning algorithms for
    constructing classifiers from data, subject to monotonicity constraints.
    The monotonicity constraint states that higher values of the input
    variables should lead to higher values of the class variable.
    Most state-of-the-art data mining and machine learning algorithms are not
    able to enforce such constraints. Nevertheless, they arise quite naturally
    in many application areas, such as medicine, economics (e.g. credit
    evaluation), and the legal domain.
   
    The aim of this project is to develop learning algorithms that are able to
    enforce monotonicity constraints without sacrificing the predictive
    accuracy of the resulting model. In fact, if the specified constraints are
    indeed true of the application domain, accuracy may even be improved.
    Furthermore, the resulting models will be consistent with domain
    knowledge, which should improve their acceptance by prospective users.
    Apart from monotonicity constraints, the algorithms should not impose
    strong additional restrictions (e.g. linearity) on the models. Hence,
    nonparametric approaches such as k-Nearest Neighbour could be adapted to
    enforce monotonicity constraints, but other flexible learning methods are
    considered within AMOC as well.
   
    The AMOC project is funded by the Dutch research Council NWO. The PhD
    research will be performed under  the guidance of dr A.J. Feelders and
    prof. dr A.P.J.M. Siebes.
   
    The successful candidate has a MSc degree in Computer Science or a closely
    related discipline, good skills in the English language, and a
    demonstrable interest in data mining and/or machine learning.
   
   
    For further details about the project and the application procedure,
    please visit
   
      http://www.cs.uu.nl/vacatures/en/62715.html
   
   
   
    Applications should be received by August 31st 2007 and preferably earlier.
    CV and motivation letter to Marie-Francine Moens (mariefrance.
    moens@law.kuleuven.be) the latest August 19, 2007.
牛肉烧卖  高级海盗  2007-8-17 00:58:22 | 显示全部楼层 来自: 荷兰

回复: 问下关于申请计算机博士的问题???

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