PhD position in Computer Science

Discussion in 'Thông tin học bổng' started by mtcmos, Apr 11, 2011.

  1. mtcmos

    mtcmos Viên mãn

    The Faculty of Informatics at the Vienna University of Technology invites applicants from all countries to its Vienna PhD School of Informatics.

    The Vienna PhD School of Informatics offers a three year programme with an intense period of supervised study and research, culminating in the submission of a thesis.

    The PhD School?s curriculum covers the five main research areas of the Faculty of Informatics ( http://www.informatik.tuwien.ac.at/research/areas/ ):

    ? ? * Business Informatics
    ? ? * Computational Intelligence
    ? ? * Computer Engineering
    ? ? * Distributed and Parallel Systems
    ? ? * Media Informatics and Visual Computing

    Each year up to 15 students will be awarded a scholarship amounting to EUR 1.000 per month, to cover the cost of living. Female applicants are explicitly encouraged to apply. Preference will be given when equally qualified.

    The application deadline for the next call for applications (for the study year 2011/2012) is on May 8th, 2011.

    Further details are available on the website of the Vienna PhD School of Informatics ( http://www.informatik.tuwien.ac.at/teaching/doctoral/phdschool/ ).

    ---
    Prof. Jens Knoop E: knoop@complang.tuwien.ac.at
    Institute of Computer Languages P: +43-1-58801-18510
    Vienna University of Technology F: +43-1-58801-18598
    Argentinierstr. 8 / E185.1 W: www.complang.tuwien.ac.at/knoop
    1040 Vienna, Austria
    DVR-Nr.: 0005886
     
  2. tranhungk43t

    tranhungk43t Thèm thuồng

    PhD position in Computer Science


    Karlstads universitet / Fakulteten för ekonomi, kommunikation och IT / Datavetenskap

    Karlstads universitet - det moderna universitetet - präglas av aktiv samverkan med det omgivande samhället i kombination med akademisk excellens. Karlstads universitet har cirka 12 000 studenter och drygt 1 200 anställda.
    Ett demokratiskt synsätt, jämställdhet och mångfald är grunden för vår verksamhet. Vi strävar efter en mångfald av bakgrunder och kompetenser som berikar verksamheten.

    A PhD position is available within the Privacy and Security Group (PriSec) at the Department of Computer Science at Karlstad University. Research within PriSec is focused on privacy-enhancing technologies (PETs), network and operating system security, as well as usability of security and PETs.

    Qualifications

    Qualified for the position are candidates with a University degree of 240 ECTS, from which at least 60 ECTS were awarded for courses at advanced level and have a Master's degree or the Swedish Magister or Civilingenjör degree in Computer Science or Computer Engineering, or equivalent. Qualified are also those candidates who have achieved corresponding degrees and/or knowledge in Sweden or abroad.

    The position is focused on the trade-off between security and performance within a networking context. Knowledge or experience in some of the areas of wireless network security, adaptive security solutions, quality-of-service and/or performance modeling is therefore desirable.

    Good programming skills and English language abilities are pre-requisites for the position.

    Admission

    Admission is on the basis of individual assessment of the candidates' abilities to successfully pass the research education. The earliest date for filling the position is June 1, 2011. The position is limited to 4 years, but can be prolonged for up to one more year, if the candidate also takes on other research, teaching or administrative tasks besides his/her PhD research. Those tasks should not exceed 20% of the time of a full-time position.

    Application

    Your application should contain a cover letter motivating your reasons for applying, a CV, copies of your degrees, a list of attended courses with grades and dates, if applicable copies of publications or proofs of other achievements, and reference letters or contact addresses of reference persons.

    Anställningsform:
    Visstidsanställning till 2016-05-31
    Anställningens omfattning:
    Heltid
    Tillträde:
    The earliest date for filling the position is 2011-06-01
    Antal lediga anställningar:
    1
    Ort:
    Karlstad
    Län:
    Värmlands län
    Land:
    Sverige
    Referens:
    REK2011/40
    Kontakt. Professor Stefan Lindskog, +46 54-7001000
    Facklig företrädare:Thomas Wennstam, SACO, + 46 54-7001000 , Barbro Berglund, OFR, +46 54-7001000

    Sista ans. dag:
    2011-04-30
     
  3. thanh_lam

    thanh_lam UNIPI

    PhD position in uncertain data processing

    PhD title : Conflict analysis as part of multi-source data fusion using belief functions

    Type of funding : PhD grant of the University of Lille1.

    PhD director: Olivier Colot
    E-mail : olivier.colot@univ-lille1.fr
    PhD co-supervisor: John Klein
    E-mail : john.klein@univ-lille1.fr
    PhD co-supervisor: Jean-Marc Vannobel
    E-mail : jean-marc.vannobel@univ-lille1.fr
    Laboratory : LAGIS – CNRS FRE 3303
    Team : Signal and Image

    Key words : Information fusion, Conflict management, uncertain data processing.
    Description

    Subject :
    As part of information processing, collected data often happen to be corrupted with various kinds of
    imperfections. The most widely spread kind of imperfection is uncertainty. The theory of probabilities provides us with mathematical tools allowing representation, monitoring and regulation of uncertainty, thereby limiting harmful consequences on subsequent decision processes. In Bayesian inference, such signals are regarded as random variables and the results obtained from uncertain data are convincing.
    Nonetheless, the situation becomes more difficult to handle when other types of imperfections are added to uncertainty. The second major kind of imperfection that is found in collected data is imprecision. To get a picture of what imprecision is, let us consider a simple problem that consists in finding which person is guilty of a crime among three suspects : Peter, Paul and Mary. A source of information, i.e. a witness, allows us to collect the following datum : « he is 100% sure that the culprit is a male person. » This piece of information is certain but imprecise. It does not lead us to the correct answer but it only reduces the number of possible solutions. Imprecision cannot be modelled using probabilities, however, the so-called theory of belief functions (also known as the Dempster-Shafer theory or evidence theory) gives us this possibility. This theory allows to take into account minor types of imperfections such as conflict (disagreements among information sources).

    The proposed research will focus on data fusion applications that lead to conflictual situations.
    The belief function theory defines a measure called the degree of conflict, but in the current state of the art, this measure does not appear to be fully satisfactory in order to manage conflictual situations. It only allows to detect the presence of some conflict. Recently, more refined conflict measures have been introduced by several authors. These measures can identify what source of information contributes the most to conflict generation. The Signal and Image team of the LAGIS is especially interested in developing such new measures.

    A fist research step is meant to further investigate source dependent conflict measures. In a second time, the analysis of conflict through other criteria will be explored. Eventually, the belief function update using these measures will have to be inquired into. This last step is far from being simple for the most conflicting source of information is not necessarily the least reliable one.
    Research Fields

    Computer science - Modelling tools
    Career Stage

    Early stage researcher or 0-4 yrs (Post graduate)
    Comment/web site for additional job details

    Candidate profile:

    Eligible candidates must be in their final year of a master degree (or already graduated) related to the
    following fields: signal processing, telecommunications, control sciences, or applied mathematics. A good practice of programming tools notably Matlab and C language are required. It is also important that the candidate shows good knowledge of probability fundamentals. Finally, the candidate shall prove its interest for the research field and for an academic career. There is no nationality restrictions.
    Funding notes :
    This position is funded by the University of Lille1. The candidate will integrate the LAGIS (which is a common lab of the University Lille1 and the École Centrale de Lille). Applications will be examined by the Ecole Doctorale SPI "Université Lille Nord de France".

    Contacts : john.klein@univ-lille1.fr, jean-marc.vannobel@univ-lille1.fr, olivier.colot@univ-lill...

    http://www.doctorat.be/offres_doct_detail.asp?offre_id=412

    Application Deadline

    30/04/2011
     
  4. thanh_lam

    thanh_lam UNIPI

    Marie Curie Early Stage Researcher / PhD Candidate in Cloud Computing

    The South-East European Research Centre (SEERC) invites applications for one Marie Curie Early Stage Researcher / PhD Candidate position in the frame of the FP7 Marie Curie Initial Training Network RELATE (Trans-European Research Training Network on Engineering and Provisioning of Service Based Cloud Applications).

    SEERC (www.seerc.org ) is an overseas research centre of the University of Sheffield, established as a non-profit legal entity in Thessaloniki, Greece. The centre is linked to City College – the University's International Faculty in Greece – and is conducting multidisciplinary research in the fields of Enterprise, Innovation & Development, Information & Communication Technologies, and Society & Human Development. The RELATE network (www.relate-itn.eu), in which SEERC participates, provides an opportunity for researchers in early stages of their careers to study the latest advancements in the field of cloud computing.
    Description

    The particular post is concerned with research in the area of evolution, change, and interoperability in service-based systems and cloud applications. For a period of 36 months, starting September 2011, the post holder will be employed by SEERC in Thessaloniki, Greece, under a full-time fixed-term contract with full social security coverage and all benefits in accordance to Marie Curie ITN fellowship regulations for Early Stage Researchers (living, mobility, travel, and career exploratory allowances). In addition, the person to be appointed will register to read for a PhD degree in Computer Science of the University of Sheffield through the Doctoral Programme of SEERC.

    Research activities will be carried out at the premises of SEERC, in Thessaloniki, Greece, but in close collaboration with other researchers from the RELATE network as well as researchers from the University of Sheffield – the Computer Science Departments at the Faculty of Engineering and the International Faculty (City College). The post includes two research visits to Karlsruhe Institute of Technology (KIT) and CAS Software AG in Karlsruhe, Germany for a total period of 6 months.

    Applicants should hold a good first degree in Computer Science or a closely related area, as well as a good postgraduate degree in Computer Science, Software Engineering or relevant. Previous project experience in the fields of cloud computing or service-oriented computing will be evaluated positively. Women are especially encouraged to apply.

    The post holder is expected to have an excellent academic record, be highly motivated and proactive, have excellent organisation and communication skills, and be eager to disseminate research results by preparing journal articles and papers, and presenting at international conferences and seminars. Fluency in English is a prerequisite (an IELTS point score of 6.5 or above is required).

    In accordance to Marie Curie ITN regulations, and particularly in relation to the objectives of recruiting early stage researchers and promoting trans-national mobility:
    - Researchers must be, at the time of recruitment, in the first four years (fulltime equivalent) of their research careers, and have not yet been awarded a doctoral degree. This is measured from the date when they obtained the degree which would formally entitle them to embark on a doctorate.
    - Researchers must not have resided or carried out their main activity in Greece for more than 12 months in the 3 years immediately prior to the appointment date.
    - Researchers who are Greek nationals must additionally satisfy one the following conditions: (i) for at least 3 out of the last 4 years, prior to the appointment date, they had their principal activity (work, studies, etc) in a third country (a non-EU or associated country), or (ii) they have more than one nationality and have not resided in Greece during the 5 years prior to the appointment date.
    Research Fields

    Computer science - Other
    Career Stage

    Early stage researcher or 0-4 yrs (Post graduate)
    Benefits

    Post duration: The post is fixed-term for 36 months starting September 2011.

    Terms and conditions of employment: Will be those for Early Stage Researchers under Marie Curie rules.

    Salary: 27,225 € per annum (gross estimate before deduction of taxes and employee's insurance contributions under current Greek regulations). The post holder will additionally receive mobility, travel, and career exploratory allowances as per Marie Curie ITN rules.
    Comment/web site for additional job details

    For additional information, including eligibility criteria and application submission instructions, please refer to the full job description: http://www.seerc.org/docs/vacancies/relate_phd_esr7.pdf

    Deadline 31 May 2011
     
  5. thanh_lam

    thanh_lam UNIPI

    Automatic management of domain decomposition for problems with coupled PDEs
    Type de poste : Doctorant
    Lieu de travail : Nancy
    Thème de recherche : Réseaux, systèmes et services, calcul distribué
    Projet : ALGORILLE


    A propos de l'INRIA et du poste
    INRIA, the French national institute for research in computer science and control, is dedicated to fundamental and applied research in information and communication science and technology (ICST). INRIA has a workforce of 4,200 people working throughout its eight research centers established in seven regions of France.INRIA.
    INRIA Nancy - Grand-Est centre conducts sustained activity in the sector of information science and technologies, including computer science, applied mathematics, control engineering and multidisciplined themes situated at the crossroads between information science and technologies and other scientific areas, including life sciences, physics and human and social sciences. We also have strong commitments linked to technology transfer. Our establishment at the heart of a major cross-border region, together with our industrial and university partnerships, constitute a major advantage in achieving these commitments.
    INRIA Nancy - Grand-Est Centre conducts most of its scientific activities in partnership with the French National Centre for Scientific Research, the University of Lorraine, the University of Strasbourg and the University of Franche Comté. We also maintain close ties with research institutes and universities from the wider region, notably in Saarbrücken and Luxembourg.

    - Location: INRIA Nancy Grand Est research center --- Loria Laboratory, Nancy, France

    - Research theme: Applied Mathematics, Computation and Simulation and Algorithmics, Programming, Software and Architecture

    - Project-team: AlGorille, collaboration with the LEMTA laboratory (Fatmir Asllanaj) is expected on the physical aspects.

    - Scientific Context:
    This PhD will take place in the context of a collaboration with the LEMTA laboratory which deals with the study of the thermo-mechanical behavior of semi-transparent materials. The industrial process currently in use to give a specific form to such materials is very complex and difficult to control: manufacturers are confronted to the impossibility to produce a given object (for example made of glass) with a very high level of success (without or with very few failures). According to the CERFAV (Centre Européen de Recherches et de Formation aux Arts Verriers), craftsmen use empirical techniques for glass thermo-forming that introduce important difficulties of reproducibility and uniformity. That process consists in taking a slab of glass and heating it in order to make it embrace the form of a mould thanks to the single action of the gravity upon the softened glass.
    The physical domains related to that process are numerous and complex. The behavior is best modeled by using coupled Partial Differential Equations (PDEs) that are strongly non-linear. The joint project with the LEMTA aims at providing efficient and accurate tools dedicated to that technology. It is decomposed in three main steps. The first is a theoretical and numerical analysis of the thermo-mechanical behavior of semi-transparent materials. The major difficulty at this stage lies in the coupling of three equations in the model in multidimensional geometry. The second step will consist in the design and implementation of a code that simulates the process of glass thermo-forming as accurately as possible. This has to take a precise radiation model, a strong coupling between the mechanical and thermal behaviors and the contact between the glass and the mould into account. Finally, to be computationally tractable for real world examples an important objective will be to develop parallel algorithms on clusters and/or grids for the resolution of the PDEs present in the model, in particular for the Radiative Transfer Equation (RTE). That last part will be the core of the PhD.

    Mission
    The goal of this PhD is the design and implementation of parallel algorithms for the simulation of thermo-mechanical phenomena in semi-transparent materials.
    In that context, we would like to explore an original approach, based on the notion of cellular computation. The core of that work is to reformulate the PDEs (the RTE in particular) in the most local form as possible, so that efficient parallelization techniques can be used. That work is based on tools (in particular the parXXL framework) that have already been developed in the AlGorille team, and which have already proven their efficiency in classical scientific cases inside a project called InterCell.
    Other important aspects for an efficient parallelization of such algorithms are the choice of the type of mesh to use and its automatic generation, and the possibility of coupling several PDEs (radiation-conduction in our context). So, a first step of the work will be focused on validated reformulations of the PDEs used in the model under a form better suited to parallel computations. At first, the work should target regular structures. Once this approach will have been validated, irregular meshes, like finite elements (volumes), will be studied. A reference implementation will target several variants in the context of local cluster: mono-processors, multi-cores, embedded accelerators (GPUs),... According to the results and the remaining time, dynamical meshes may also be studied. In the concrete case of the RTE, it will also be important to study whether the algorithms must be synchronous or can be asynchronous, at least partially. Hence, it can be expected to obtain an additional efficiency gain at this level.
    Finally, a qualitative and quantitative validation of the parallel code will be performed.

    Profil recherché
    • Master in computer science or equivalent
    • High skills in C or C++ programming
    • Good skills in parallel computing and numerical simulation will be preponderant
    • Good knowledge of the POSIX (e.g Linux) environments
    • Additional skills in physics of materials will be appreciated.

    Avantages
    * Duration: 3 years

    * Starting date: between Sept. 1st 2011 and Jan. 1st 2012

    * Salary: 1 957 euros gross monthly (about 1 600 euros net) during the first and the second years. 2 058 euros the last year (about 1 680 euros net).

    Informations complémentaires
    - Bibliography:
    1. J. Gustedt, S. Vialle and A. De Vivo. parXXL: A Fine Grained Development Environ- ment on Coarse Grained Architectures. In Workshop on State-of-the-Art in Scientific and Parallel Computing - PARA’06, Umea, Sweden, June 2006.
    2. J. M. Bahi, S. Contassot-Vivier and R. Couturier. Parallel Iterative Algorithms: from se- quential to grid computing. Numerical Analysis & Scientific Computing Series. Chapman & Hall/CRC, 2007.
    3. T. Jost, S. Contassot-Vivier, and S. Vialle. An efficient multi-algorithms sparse linear solver for GPUs. In International Conference on Parallel Computing, ParCo2009, pages -, Lyon, September 2009.
    4. H. Frezza-Buet, J. Gustedt, N. Fresengeas and S. Vialle. An Interactive Problem Modeller and PDE Solver Distributed on Large Scale Architectures. In Third International Work- shop on Distributed Frameworks for Multimedia Applications - DFMA ’07, Paris France, June 2007. IEEE Computer Society Press.
    5. J. M. Bahi, S. Contassot-Vivier and R. Couturier. Evaluation of the asynchronous iterative algorithms in the context of distant heterogeneous clusters. Parallel Computing, Vol. 31, no 5, p. 439-461, 2005.

    * Supervision and contact: Sylvain Contassot-Vivier and Jens Gustedt

    Additional links: Fatmir Asllanaj, LEMTA

    The required documents for applying are the following:
    - CV;
    - a motivation letter;
    - your degree certificates and transcripts for Bachelor and Master (or the last 5 years if not applicable).
    - Master thesis (or equivalent) if it is already completed, or a description of the work in progress, otherwise;
    - all your publications, if any (it is not expected that you have any).
    - At least one recommendation letter from the person who supervises(d) your Master thesis (or research project or internship); you can also send at most two other recommendation letters.
    The recommendation letter(s) should be sent directly by their author to the prospective PhD advisor with cc to Sylvain.Lazard@inria.fr.
    All the documents should be sent in at most 2 pdf files; one file should contain the publications, if any, the other file should contain all the other documents. We recommend that you also send a copy of these two files to your prospective PhD adviser
     
  6. thanh_lam

    thanh_lam UNIPI

    Deduction and validation of behavioral properties in dynamical systems
    Type de poste : Doctorant
    Lieu de travail : Nancy
    Thème de recherche : Réseaux, systèmes et services, calcul distribué
    Projet : ALGORILLE


    A propos de l'INRIA et du poste
    INRIA, the French national institute for research in computer science and control, is dedicated to fundamental and applied research in information and communication science and technology (ICST). INRIA has a workforce of 4,200 people working throughout its eight research centers established in seven regions of France.INRIA.
    INRIA Nancy - Grand-Est centre conducts sustained activity in the sector of information science and technologies, including computer science, applied mathematics, control engineering and multidisciplined themes situated at the crossroads between information science and technologies and other scientific areas, including life sciences, physics and human and social sciences. We also have strong commitments linked to technology transfer. Our establishment at the heart of a major cross-border region, together with our industrial and university partnerships, constitute a major advantage in achieving these commitments.
    INRIA Nancy - Grand-Est Centre conducts most of its scientific activities in partnership with the French National Centre for Scientific Research, the University of Lorraine, the University of Strasbourg and the University of Franche Comté. We also maintain close ties with research institutes and universities from the wider region, notably in Saarbrücken and Luxembourg.

    - Location: INRIA Nancy Grand Est research center --- Loria Laboratory, Nancy, France

    - Research theme: Applied Mathematics, Computation and Simulation

    - Scientific Context:
    Dynamical systems (DS) [BT89] can be used to simply and efficiently represent a lot of scientific problems where n entities simultaneously evolve. We can cite for examples, the neural networks, the genetic evolution, and numerous physical systems.
    These systems are formally describe as follows: each element i takes its state xi in the set Ei and each element evolves according to a function fi : E1 × . . . × En → Ei. Finally, we have a system whose global state at time (iteration) t is xt = (xt1, xt2, ..., xtn) and which evolves according to the function f(x) = (f1(x), f2(x), ..., fn(x)).
    Although the function f describes the basic dynamics of the system, it can evolve according to different operating modes: parallel or serial, synchronous or asynchronous, with or without delays. Every mode presents some advantages and some drawbacks. For the synchronous mode, convergence criteria towards fixed points can be expressed rather simply. However, its implementation is not always efficient: as all the elements evolve in the same time, each one has to wait for the states of the others before to evolve. In some cases, this may lead to a system that spends most of the time in waiting rather than computing.
    On the other hand, the convergence criteria of the asynchronous mode [Bau78, FS00, BCV02] are more restrictive but the implementation is often more efficient: at each time, each element evolves without waiting for the others but using the states information that are locally available at the current time.
    Most of the works related to dynamical systems deal with the proof of convergence and/or the exhibition of conditions of convergence. However, they may be more general and may concern any asymptotic behavior.
    In that context, a strong research collaboration already exists between the AlGorille team of Loria (Nancy) and the AND team of LIFC (Belfort), and other collaborations are currently under construction with other teams like the BioInfo of I3S (Nice) and MAIA of Loria (Nancy).

    Mission
    Those collaborations aim at studying the dynamics of such systems and finding new properties or measures that could give interesting information about their asymptotic behaviors. Unfortunately, this is a hard task which cannot be reasonably done manually. This is why we focus on the design of a software tool which could help us to automatically or semi-automatically deduce some properties in dynamical systems (convergence, cycles,...) as well as to test and validate new measures. Indeed, pointing out an interesting property or measure for a given system is already interesting but it is not sufficient to give a universal significance to that property. So, we also have to show that such a property is sufficient to obtain a given behavior.
    The software we aim at implementing should provide a (semi)automatic validation of a given property.
    Finally, the last point, but not the least, is that the major interest of those theoretical studies over dynamical systems is a practical application to parallel scientific computing. Since a few years, the computing systems have incorporated different levels of parallelism (several cores, accelerators, and clustering). Hence, parallel algorithmic has to be adapted to those new systems. Combining synchronous and asynchronous modes has been presented in [ABCVS05] as an acceptable compromise between idleness reduction and convergence need. However, that mixing requires a strong knowledge of the behavior of the synchronous system and the ability to predict the impact of the asynchronism of some elements over the global behavior. This combination should be the first study to tackle, theoretically by strengthening convergence conditions and practically by taking the benefit of the developed assistant tool.


    MISSIONS :
    The goal of this PhD is to study the extraction of fundamental properties and measures in dynamical systems to detect specific behaviors. In addition, the design and implementation of a software tool performing automatic and semi-automatic extraction of properties and measures in dynamical systems will be addressed.
    Obviously, a first step in this work will consist in a complete bibliographical study of the previous results obtained in the field of dynamical systems. A synthesis focused on the common concepts and the underlying properties and measures will provide the start point of the PhD work.
    The design of the tool will have to take into account several important aspects as:
    • expressiveness of the DS descriptions: any kind of system should be executed in the tool, from the most general ones to the most specific ones.
    • performances: the tool should be as fast as possible. Parallel techniques may be considered to perform the simulations (multi-core, GPU, clusters).
    • scalability: the tool should be able to deal with very large systems with potentially an infinity of possible configurations (continuous and/or asynchronous systems).
    The problem of performing exhaustive executions with continuous and/or asynchronous systems is still open. This will be an important point of the PhD and will consist in studying the different approaches (classes of equivalence, intervals,...) which could lead to a finite execution of an infinite number of cases.
    That work will probably imply, in addition to the two supervising teams, some contacts with the other teams mentioned above, BioInfo and Maia.

    Profil recherché
    • Master in computer science or equivalent title
    • High skills in C/C++ programming
    • Good skills in theoretical modeling and proving
    • Good knowledge of dynamical systems
    • Good knowledge of the Unix/Linux environments

    Avantages
    * Duration: 3 years
    * Starting date: between Sept. 1st 2011 and Jan. 1st 2012
    * Salary: 1 957 euros gross monthly (about 1 600 euros net) during the first and the second years. 2 058 euros the last year (about 1 680 euros net).

    Informations complémentaires
    - Bibliography:
    [ABCVS05] A. Abbas, J. Bahi, S. Contassot-Vivier, and M. Salomon. Mixing synchronism / asynchro- nism in discrete-state discrete-time dynamic networks. In 4th Int. Conf. on Engineer- ing Applications and Computational Algorithms, DCDIS’2005, pages 524–529, Guelph, Canada, July 2005. ISSN 1492-8760.
    [Bau78] G. Baudet. Asynchronous iterative methods for multiprocessors. Journal of ACM, 25(2):226–244, 1978.
    [BT89] D.P. Bertsekas and J.N. Tsitsiklis. Parallel and distributed computation: numerical meth- ods. Prentice-Hall, Inc., 1989.
    [FS00] A. Frommer and D. B. Szyld. On asynchronous iterations. Journal of Com- putational and Applied Mathematics, 123(1-2):201–216, 2000.
    [BCV02] J. Bahi and S. Contassot-Vivier. Stability of fully asynchronous discrete-time discrete- state dynamic networks. IEEE Transactions on Neural Networks, 13(6):1353–1363, 2002.
    [BCVC07]J. M. Bahi, S. Contassot-Vivier and R. Couturier. Parallel Iterative Algorithms: from se- quential to grid computing. Numerical Analysis & Scientific Computing Series. Chapman & Hall/CRC, 2007.

    - Additional information:

    - Supervision and contact: Sylvain Contassot-Vivier and Jean-François Couchot

    Additional links: AND Team - LIFC

    The required documents for applying are the following:
    - CV;
    - a motivation letter;
    - your degree certificates and transcripts for Bachelor and Master (or the last 5 years if not applicable).
    - Master thesis (or equivalent) if it is already completed, or a description of the work in progress, otherwise;
    - all your publications, if any (it is not expected that you have any).
    - At least one recommendation letter from the person who supervises(d) your Master thesis (or research project or internship); you can also send at most two other recommendation letters.
    The recommendation letter(s) should be sent directly by their author to the prospective PhD advisor with cc to Sylvain.Lazard@inria.fr.
    All the documents should be sent in at most 2 pdf files; one file should contain the publications, if any, the other file should contain all the other documents. We recommend that you also send a copy of these two files to your prospective PhD advisor.
     
  7. thanh_lam

    thanh_lam UNIPI

    SMIS/2 - Minimal Retention of personal data:
    Application to database queries, audit log and association rules
    Type de poste : Doctorant
    Lieu de travail : Paris-Rocquencourt
    Thème de recherche : Perception, cognition, interaction
    Projet : SMIS


    A propos de l'INRIA et du poste
    SMIS: Secured and Mobile Information Systems

    Contexte scientifique
    Nowadays, vast quantities of personal and interaction data pertaining to customers are stored in a digital format. Transportation or retail stores retain practically all the interactions they have with their customers. Those data are often stored with a view of exploiting them for different purposes including data mining and accountability. Such a massive accumulation of personal data constitutes a serious threat on privacy, as recognized by the legislator. As a consequence, laws and directives worldwide set bounds on the collection and retention of personal data. To conform to these rules, computer systems must be able to distinguish data useful to achieve further processing goals from data useless for these purposes, and only retain useful data.
    Existing works have transposed such legal privacy principles to data management systems. However, existing implementations rely on the assumption that useful and useless data can be distinguished a priori according to the purpose for which the data has been collected. For example, when ordering online the address of delivery is required up to the time the item is delivered. This assumption holds for very simple transactions, but does not anymore for more complex treatments. What data is useful to answer a particular database query, to audit database accesses or to achieve data mining tasks? This depends not only on the purpose, but also on some other data that has been collected. For example, a given item in the digital history of a customer may be useful or useless to reveal a class the customer belongs to (e.g. interested in gardening, frequent buyer, etc.) depending on other existing items. Many complex purposes dealing with recommendations, anticipations, preferences or data mining have the same issue.

    Descriptif du poste
    Conforming to privacy laws and directives requires addressing what we call the Minimal Retention (MR) problem. Solving this problem means determining the minimal set of original data items required to achieve a given (known) complex treatment. The problem has been solved in the particular case of classification, but many other important complex tasks need to be addressed. In particular, in the short term, we plan to address the MR problem in the case of computing a database query, building an audit log and computing association rules. This PhD thesis aims at instantiating formally the MR problem and propose a solution. The proposed solution will be implemented and validated using specific privacy and utility metrics.

    Profil recherché
    A solid knowledge in database management systems is mandatory.
    Additional skills in data mining are welcome.

    Thèmes
    Database security, data privacy

    Contact
    Nicolas Anciaux
    SMIS Project, INRIA Rocquencourt, Domaine de Voluceau
    78153 Le Chesnay Cedex, France
    tel: (+33) (0) 1 39 63 56 35
    fax: (+33) (0) 1.39.63.55.96
    Nicolas.Anciaux@inria.fr
     
  8. thanh_lam

    thanh_lam UNIPI

    PhD position in the domain of text mining for recommender systems and clinical decision support systems at Philips Research Center Eindhoven

    In the framework of the Dutch national program COMMIT, we are looking for a
    candidate in computing science with an affinity to artificial intelligence and
    linguistics. The candidate is invited to spend a research period of 48 months at
    Philips Research Eindhoven, The Netherlands, during which he/she is expected to
    complete a doctoral dissertation.

    As a research scientist, the candidate will perform new, original research as
    well as be working in a multi-disciplinary team. The team investigates novel
    approaches in the context of recommender systems primarily for personalizing
    access to video content. In particular, we explore possibilities to enrich the
    Personal TV Channel concept. This concept enables the easy creation of dedicated
    channels, suited to the interests of the user. We typically make use of
    electronically available program guides. User profiles are learned, based on
    user feedback, expressed in terms of program data. One of the challenges is to
    investigate ways to enrich this program data by mining related text fragments.
    One specific problem is to try to extract the topic of a piece of text.

    To broaden the area of application, we also expect the candidate to explore the
    use of these text mining techniques in the area of clinical decision support
    systems, which assist healthcare professionals in decision making processes such
    as diagnosis and treatment of illnesses or disorders. Such systems could
    alternatively be used for patient education and self-management systems, in
    particular for coping with chronic diseases.

    External exposure by means of scientific publications and patents, and external
    collaborations (for example with universities in the context of European
    research projects) are highly encouraged.


    Candidates should
    - have a Master Degree in Computing Science, Mathematics, or any other relevant
    study
    - have an affinity to artificial intelligence and linguistics
    - be a creative and enthusiastic researcher
    - be a team player with good communication skills

    Philips Research Department Description

    The department Human Interaction & Experiences of Philips Research innovates in
    the broad and important field of user-system interaction. It works for the three
    different programs of Philips Research: Lighting, Consumer Lifestyle and
    Healthcare. The group covers capabilities like physics and materials science,
    electronics, and information technology and applies these to various interaction
    modalities, both implicit and explicit. The group starts from user needs, and
    does extensive testing of user experiences. The department has about 50
    researchers and engineers, with an educational background ranging from bachelors
    and PhD candidates, to PhDs, a Philips-Senior Research Fellow and a part-time
    professor at the Eindhoven University of Technology.

    University Contact

    The PhD work will be conducted in collaboration with the Intelligent Systems Lab
    Amsterdam, University of Amsterdam, The Netherlands. Prof.dr. Maarten de Rijke
    will act as main PhD advisor.


    For further details, please contact

    Mauro Barbieri
    mauro.barbieri@philips.com or

    Jan Korst
    jan.korst@philips.com
     
  9. thanh_lam

    thanh_lam UNIPI

    IBM Research Scientist - Data Mining / Machine Learning

    IBM Research’s Smarter Cities Technology Centre (SCTC) in Dublin, Ireland is currently hiring both entry-level and experienced researchers in data mining, statistical analysis, and predictive modeling. We are especially interested in candidates with strong background and experience in dealing with data, control, or planning of urban or environmental systems such as transportation and mobility services, sustainable energy (smart grid, renewable energy, intelligent buildings), and water management. Projects will involve identifying applications of data-intensive machine learning, invention of effective algorithms for these applications, and incorporation of these algorithms in distributed and parallel software systems.
    Description

    Candidates must have demonstrated ability to define research plans, carry out leading research, and publish research results through professional journals, academic conferences, and patents. As a researcher you will be expected to formalize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions have a significant impact. We work together with IBM Research worldwide and top academic partners and expect our researchers to publish results in top-tier conferences and journals
    Research Fields

    Computer science
    Career Stage

    Early stage researcher or 0-4 yrs (Post graduate)
    Experienced researcher or 4-10 yrs (Post-Doc)
    More Experienced researcher or >10 yrs (Senior)
    Comment/web site for additional job details

    What is the Smarter Cities Technology Centre ?
    By 2050, an estimated 70% of the world’s population will live in cities – up from 13% in 1900. Already, cities consume an estimated 75% of the world’s energy, emit more than 80% of greenhouse gases, and lose as much as 20% of their water supply due to infrastructure leaks. As their urban populations continue to grow and these metrics increase, civic leaders face an unprecedented series of challenges to scale and optimize their infrastructures. To meet the challenges of our increasingly urbanized world, IBM recently announced its first Smarter Cities Technology Centre.

    This new R&D centre aims to quickly grow to a highly skilled and cross-disciplinary team of as many as 200 researchers and software engineers. The team will focus on data mining and machine learning, statistical modeling & optimization, control and decision systems, knowledge & data engineering, geospatial analysis and visualization, simulation, real-time computing, and urban and environmental systems, e.g., water, energy, transportation. It will work closely with city authorities, universities, and small/large businesses to advance science & technology for smarter urban and environmental systems.
    annakas@ie.ibm.com
     
    alibabauk likes this.
  10. thanh_lam

    thanh_lam UNIPI

    Ph.D. Student Position (AIO)
    Evolutionary Computation
    for
    Smart Energy Networks

    http://www.cwi.nl/jobs/phd-student-0
    (see also http://www.cwi.nl/jobs/ for other positions)


    Project description
    -------------------
    Network Capacity Planning (NCP) is important for technical and
    economic efficiency and adequacy of future electricity networks.
    The aim of efficient NCP is to enable the required transition
    towards a more flexible and sustainable energy system combined
    with higher participation on the decentralized electricity
    market.

    The planning of resource investments in electrical power systems
    has always been a hard task, as the generation capacity should
    meet demand, but not exceed it, causing unnecessarily high costs.
    Network capacity planning (NCP) is also an inherently
    multi-objective problem. It deals with deciding on investments at
    several locations with various types of network components and
    configurations, as well as different time paths for investing.
    Important objectives are optimal network capacity (so that future
    demand and production of electricity can be facilitated), minimal
    total costs, optimal technical performance of the network (meet
    technical requirements with respect to power quality and network
    stability), and robustness of investments in many possible future
    developments scenarios.

    Key to successful decision support is the ability to study
    different scenarios for future network and economics
    developments, and to optimize the various objectives that are of
    importance within these scenarios. Due to the high complexity of
    measuring the effects of investments in the network, analytical
    methods are not feasible. For this, novel and efficient
    simulation models and tools for the network and its actors are
    required. Thus, the objectives can be measured by a complex
    simulation that is essentially a black box, with the parameters
    such as the network structure, prices, and capacity levels as
    input, and the objective values as output. Given such results,
    the subsequent problem is how to optimize the input parameters.

    In the project 2 PhD students will be active, one based at TU
    Eindhoven, one based at CWI and both part-time at KEMA. The
    project focuses on computational optimisation in NCP and develops
    novel ICT tools (Information and Communication Technology) for
    scenario simulation and decision-making in NCP. Within the
    project, the PhD student based at TU Eindhoven will primarily
    focus on the development of network models and simulation
    platforms for realistic network and usage outcomes from parameter
    and scenario choices. The PhD student based at CWI (to which this
    vacancy pertains) will primarily focus on the development of
    advanced and dedicated multi-objective optimization techniques in
    the field of evolutionary computation in order to deal with the
    high complexity of the problem at hand.

    The project consists of fundamental research with an eye on
    application and is carried out together with the partners.


    Position
    --------
    Within this project it is your job to develop advanced
    evolutionary algorithms (EAs) in order to automatically optimise
    parameter settings for a collection of (stochastic) future
    development scenarios using the simulation platform as an
    evaluator. Multiple objectives that contain uncertainties are to
    be taken into account (like network constraints and performance,
    costs, robust return-on-investment, and economic accessibility).
    Key tasks are the design of proper representations for the
    optimization parameters, tackling uncertainty in the presence of
    multiple objectives, the investigation of the reduction of the
    number of required network simulations as input to the EAs, and
    the incorporation of domain knowledge on electricity networks in
    the form of constraints and local optimization combined with EAs.
    As it is to be expected that available classic EA techniques are
    not sufficiently scalable and efficient for NCP, the development
    of more sophisticated and dedicated EA techniques for NCP are
    required. Of particular interest will be
    Estimation-of-Distribution Algorithms (EDAs). Characteristic of
    EDAs is the use of probability distributions to model and
    successfully exploit variable interdependencies, contrary to
    classic EA methods.

    Keywords are evolutionary algorithms, estimation-of-distribution
    algorithms, black box optimization, multi-objective optimization,
    uncertainty, and simulation systems.


    Requirements
    ------------
    PhD candidates are required to have a master degree in computer
    science, artificial intelligence, mathematics, or in comparable
    areas. Candidates that are expected to finish their M.Sc. thesis
    in the near future can also apply. Candidates should have a clear
    interest in fundamental research, should be creative and solid in
    their research, should have (potential) interest in the
    application area of electricity networks, and should be able to
    cooperate with experts from different disciplines.

    It's essential that you have good academic writing and
    presentation skills. Candidates are expected to have an excellent
    command of English.


    Institute
    ---------
    The CWI (Centrum Wiskunde & Informatica) in Amsterdam, founded in
    1946, is the national research institute for mathematics and
    computer science in the Netherlands. CWI performs frontier
    research in mathematics and computer science and transfers new
    knowledge in these fields to society in general and trade and
    industry in particular.


    Terms and conditions
    --------------------
    The terms of employment are in accordance with the Dutch
    Collective Labour Agreement for Research Institutes
    ("CAO-onderzoeksinstellingen"). Moreover CWI offers attractive
    working conditions, including flexible scheduling and help with
    housing for expat employees.

    The gross monthly salary, for an employee on a full time basis,
    is 2,037 Euro during the first year and increases to 2,610 Euro
    over a four year period. CWI also offers excellent and flexible
    terms of employment, including an employee pension fund.


    Information
    -----------
    Additional information can be obtained from:

    Dr. Peter A.N. Bosman (Evolutionary Computation)
    Tel. +31 (0)20 592 4238
    e-mail: peter.bosman@cwi.nl

    Prof.dr.ir. Han La Poutré (Group Leader)
    Tel. +31 (0)20 592 4082
    e-mail: han.la.poutre@cwi.nl

    Additional information about working at the CWI can be seen in
    the video "A Fundamental Difference":

    http://www.cwi.nl/general/movies-about-cwi

    or

    http://www.youtube.com/watch?v=2e-VYBdBKis


    Application
    -----------
    Please send your application before 26 June 2011 to: pd@cwi.nl

    Applications should include a detailed CV, a motivation letter, a
    list of your MSc courses and grades.

    -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
    Dr. Peter A.N. Bosman
    Scientific Staff Member
    Centrum Wiskunde & Informatica (CWI)
    (Centre for Mathematics and Computer Science)
    P.O. Box 94079
    1090 GB Amsterdam
    The Netherlands

    Peter.Bosman@cwi.nl
    http://homepages.cwi.nl/~bosman
     
  11. thanh_lam

    thanh_lam UNIPI

    4 PhD research fellowship positions and 1 post doctoral position



    NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY (NTNU)



    Faculty of Information Technology, Mathematics and Electrical Engineering

    Department of Engineering Cybernetics



    Faculty of Engineering Science and Technology

    Department of Petroleum Engineering & Applied Geophysics



    4 PhD research fellowship positions and 1 post doctoral position



    3 PhD research fellowship positions and 1 post doctoral position at the Department of Engineering Cybernetics, NTNU, and 1 PhD research fellowship position at the Department of Petroleum Engineering and Applied Geophysics, within the research project "Intelligent drilling – automated underbalanced drilling operations”



    4 PhD research fellowship positions and 1 post doc position are vacant within the research project "Intelligent drilling – automated underbalanced drilling operations”, funded by the Norwegian Research Council and Statoil ASA. The PhD scholars and Post Doc will work on challenging research problems in an active research team at the Department of Engineering Cybernetics and the Department of Petroleum Engineering and Applied Geophysics, NTNU, in close interaction with researchers from Statoil and International Research Institute of Stavanger (IRIS), and with extensive international cooperation.



    The main research objective is to develop intelligent closed-loop control concepts for improved safety and efficiency of offshore underbalanced drilling operations (UBD). UBD with complete control over borehole hydraulics will be an enabling technology for getting access to reserves in mature fields which are unreachable with conventional drilling technologies. Moreover, such UBD technology will provide a number of other enhancements in safety and efficiency of drilling operations.



    Relevant research themes are

    * Holistic automated pressure and flow control for underbalanced drilling
    * Two-phase flow modeling, estimation and control in underbalanced drilling
    * Autonomous and adaptive control and observer designs for underbalanced drilling
    * Fault detection, and fault tolerant and robust control for underbalanced drilling
    * Well control and barriers in automated UBD wells
    * Modeling and control of slugging in UBD wells



    The advisor/co-advisor team consists of

    * Lars Imsland, Professor, Dept. Engineering Cybernetics, NTNU
    * Ole Morten Aamo, Professor, Dept. Engineering Cybernetics, NTNU
    * Tor Arne Johansen, Professor, Dept. Engineering Cybernetics, NTNU
    * Glenn-Ole Kaasa, Adjunct Associate Professor Dept. Engineering Cybernetics, NTNU; Principal Researcher Statoil
    * John-Morten Godhavn, Adjunct Professor Dept. Petroleum Engineering and Applied Geophysics, NTNU; Principal Researcher, Statoil
    * Sigbjørn Sangesland, Professor Dept. Petroleum Engineering and Applied Geophysics, NTNU
    * Gerhard Nygaard, Chief Scientist IRIS; Adjunct Professor University of Stavanger
    * Alexey Pavlov, Principal Researcher, Statoil



    The PhD scholarships are offered for a period of 3 years, while the post doctoral position will be offered for a period up to 3 years.



    For the PhD scholarships: Required backgrounds for the PhD-positions are MSc degrees in engineering cybernetics/control engineering or similar, or MSc degree in petroleum engineering, multiphase flow modeling or similar. The applicants should indicate which theme(s) they are interested in. Solid scientific qualifications, relevant MSc research topics, motivation and personal qualities are important. Applicants must be qualified for PhD studies at NTNU, please see http://www.ime.ntnu.no/forskning/phd for information about PhD studies at NTNU.



    It is a prerequisite that the PhD scholar applies for and is granted admission to the NTNU PhD studies as soon as possible after employment. NTNUs PhD-rules require a Master degree or equivalent with at least 5 years of studies and an average grade of A or B within a scale of A-E for passing grades (A best). Candidates from universities outside Norway are kindly requested to send a Diploma Supplement or a similar document, which describes in detail the study and grade system and the rights for further studies associated with the obtained degree:

    http://ec.europa.eu/education/policies/rec_qual/recognition/diploma_en.html



    The position is placed in salary code 1017, which currently corresponds to a yearly gross income of NOK 391 100 (pay scale level 48). From this 2 % will be deducted for mandatory membership in the National Pension Fund. The appointment will be made in accordance with current regulations with supplementary rules for research fellowship appointments in universities and polytechnics. Applicants must agree to participate in organized doctoral

    study programs within the period of the appointment. The successful applicant must agree to the conditions laid down for public employees.



    Candidates will be required to enroll in a PhD program within the period of employment, and must sign a contract regulating the period of employment.



    For the Post Doc position: Applicants must have a PhD in engineering cybernetics/control engineering or similar, or a PhD in petroleum engineering on topics closely related to automated drilling. For applicants with a control background, specialization in automated drilling systems is advantageous. Documented scientific qualifications, relevant PhD research topics and personal qualities are important.



    Post.doc-fellowships are placed in salary code 1352, salary level 57 in the national salary scheme, gross NOK 455 900 per annum of which 2 % is deducted for State Pension scheme.

    The appointment will be made in accordance with current regulations. The successful applicant must agree to the conditions laid down for public employees. Candidates must sign a contract regulating the starting date and duration of employment.



    Contact person for all positions: Professor Lars Imsland, e-mail: lars.imsland@itk.ntnu.no.



    Applicants from non-English-speaking countries outside Europe must document a TOEFL score of 600 or higher.



    According to Norwegian policies, the government workforce should, as closely as possible, reflect the diversity of the population at large. It is therefore a goal of NTNU, as a government institution, to have a workforce which is balanced with respect to age and gender, and to recruit persons of immigrant background. NTNU also wishes to increase the number of women on its workforce, and women are specifically encouraged to apply.



    The application must include information about education, exams and earlier experience. Certified copies of certificates and diplomas must be enclosed. Relevant scientific works should be submitted. Joint works will be taken into account. In cases where it is difficult to determine the applicant’s contribution, a short note of explanation should be supplied.



    Applications are to be submitted electronically through this page. Preferably, we want the attachments in one file.



    Applications should be marked: IME 028-2011, and in addition you have to state for which position it is applied for.



    Application deadline: August 8th 2011.
     
  12. thanh_lam

    thanh_lam UNIPI

    [Postdoc] Application of Machine Learning to Search and Optimization

    *Two* 24-months post-doctoral positions concerned with the application of Machine Learning methods to Search and Optimization are opened. The positions will be held at the Microsoft-INRIA laboratory at Saclay, (20km south of Paris), France.
    Description

    The context of the work is to learn efficient solving strategies on top of existing Constraint-based or Meta-heuristics optimization algorithms.

    A key challenge today for Constraint solvers is to be able to reformulate an existing CSP efficiently until the problem becomes obviously solvable or unsolvable. One possible topic of the post-doc will be to turn the reformulation of a given CSP into a reinforcement learning problem: define the state and actions spaces, and investigate the feasibility of learning a good reformulation strategy.

    Another possible research direction is to identify the context of competence of specific heuristics within the search, and to use the gained knowledge to define heuristics selection strategies.

    * 12+12 months contract, starting from September 2011.
    * net salary: approx. 2100 Euros per month (health insurance included).

    http://tao.lri.fr/tiki-index.php?pa...e+Learning+methods+to+Search+and+Optimization
     
  13. thanh_lam

    thanh_lam UNIPI

    PhD student position in Industrial Information and Control Systems

    The School of Electrical Engineering offers education and research at the highest international level within all areas of electrical technology.



    KTH is the largest technical university in Sweden. Education and research cover a broad spectrum within natural sciences and engineering, as well as architecture, industrial engineering and management, urban planning, work science and environmental engineering. KTH has 13.344 full-time equivalent students of whom 6.955 at Bachelor (first) level and 5.545 at Master (second) level. In addition 1.314 full-time equivalent students at doctoral studies (third) level and 3.900 employees.

    The School of Electrical Engineering conducts research and education in the fields of electrical engineering, systems engineering, information and communications theory, space and fusion plasma physics, and electrical power engineering. 300 people work in this creative and dynamic environment, out of which half are Ph.D. students, many from other countries. Our research projects are carried out in close collaboration with industry partners as well as with research colleagues from Sweden and other countries. The school is responsible for educating engineers in electrical engineering and five masters programs which are in great demand and which have a close connection to our main fields.

    The department of Industrial Information and Control Systems conducts research related to the development, procurement and operation of cost-efficient IT-systems for complex industrial processes.


    Description

    We are looking for new Ph.D. students to join the team at Industrial Information and Control Systems. As a Ph.D. student at our department you perform research on how to manage IT systems for industrial applications, e.g. operation of power systems or constructing equipment. In your research you will develop theories and modeling languages describing properties of industrial IT systems in an effort to improve design, operation and maintenance of such IT systems, and empirically test these theories. Your research will be multi-disciplinary and you will get a good knowledge of areas such as information systems, decision theory, software engineering, requirements engineering and management. The doctoral program also includes postgraduate courses equivalent to slightly more than one year of study. The aim of the doctoral program is to make the Ph.D. student an independent, excellent researcher.

    We have a long tradition of well-established collaboration with industry and you will be working in cooperative projects from the very start, particularly with the power industry. The ever-increasing impact of IT on the industry means that there is a large industrial interest in our research.


    Qualifications

    An appropriate background for this position is a Master of Science degree in electrical engineering, computer science, engineering physics, information technology, industrial engineering and management, or equivalent.



    Applicants must be strongly motivated for doctoral studies, be able to work well independently, as well as possess strong analytical skills and excellent cooperative and communicative abilities.


    Recruitment

    The Ph.D. student position is intended for individual training and education to become a researcher. The position also includes other duties within the department, such as teaching, up to 20% of the time. The salary is set according to the standard agreements for Ph.D. student employment.


    Application

    Application shall include the following documents:

    1. Curriculum vitae
    2. Transcripts from university/university college
    3. Brief description of why the applicant wishes to become a doctoral student
    4. Other documents you feel important, e.g. your master’s thesis or an academic article you’ve written

    Application via email: As one PDF, to

    * 0271@ee.kth.se



    Please specify reference number E-2011-0271 in the subject line.



    Application via regular mail:
    School of Electrical Engineering
    Royal Institute of Technology KTH
    Att: Katharine Hammar
    Osquldas väg 10
    100 44 STOCKHOLM

    Employer’s reference: E-2011-0271



    Final date of application: 2011-06-26


    Contact

    Annica Johannesson, Administrator
    Telephone: 08 - 790 69 30

    * annica.johannesson@ics.kth.se
     
  14. thanh_lam

    thanh_lam UNIPI

  15. thanh_lam

    thanh_lam UNIPI

    PhD student (doctoral researcher) in informatics, Study group: Cardiovascular Imaging, headed by PD Dr. Marc Dewey


    Dr Dewey’s research team investigates modern medical imaging modalities for the noninvasive evaluation of the coronary arteries and myocardial perfusion. A major research field is cardiac imaging using a 320-row computed tomography (CT) scanner and a dual-source CT scanner (Toshiba Aquilion ONE und Siemens Definition FLASH). One focus of current research is on four-dimensional analysis of cardiac perfusion with CT using data generated by prospective clinical studies that have already been completed.

    Development and optimization of signal detection and image processing of myocardial perfusion scans obtained with CT. In the further course of this research, we intend to derive steps for optimizing the design of future myocardial perfusion imaging examinations using intraindividual correlation with myocardial perfusion studies done with magnetic resonance imaging. The position we are offering thus is at the interface between patient-centered research and software development.


    Application e-mail

    dewey AT charite DOT de
    Deadline 30/0/2011
     
  16. thanh_lam

    thanh_lam UNIPI

    Research PhD Studentship - conduct research into the development of Maritime surveillance System of Systems


    PERSEUS, an FP7 project contributes to Europe’s efforts to combat illegal migration and goods smuggling by proposing a large scale demonstration of an EU Maritime surveillance System of Systems, integrating the existing national systems and platforms, enhancing them with innovative capabilities and addressing key challenges:
    • transnational exchange of useful and available information, and associated procedures and mechanisms thereby creating the common information sharing environment,
    • generation of a common situational picture,
    • improved detection and identification of non collaborative/suspicious small boats and low flying aircraft,
    • enhanced and increasingly automated detection of abnormal vessel behaviours,
    • identification of threats and tracking of reporting and non-reporting vessels.
    PERSEUS articulates this demonstration through 5 exercises grouped in 2 campaigns, implementing missions of drug trafficking and illegal migration control and delivering surveillance continuity from coastal areas to high seas.
    PERSEUS delivers a comprehensive set of validated and demonstrated recommendations and proposes standards.
    PERSEUS has assembled major users and providers, ensuring privileged access to existing surveillance systems and assets for an optimised coverage of the area of interest. These users will define, assess and validate the alignment of PERSEUS’s recommendations to their needs. PERSEUS also includes an evolution mechanism to enlarge the user base and integrate emerging technologies during its lifetime.
    PERSEUS will augment the effectiveness of operational capabilities of the existing systems – a real-life, credible, relevant and coordinated contribution to the establishment of an integrated European-wide maritime border control system
    Perseus is being delivered in the National Maritime College of Ireland (NMCI) in partnership with the Irish Naval service who input technical operational knowledge into the project.
    Description

    Applications are invited for a three year research position to conduct research into the development of Maritime surveillance System of Systems, integrating the existing national systems and platforms.

    The aim of the project is to provide computer based simulation of border surveillance scenarios, gather requirements from end users. These requirements will then be used to develop a System of Systems architecture, based on technology such as Service Oriented Architecture (SOA). The candidate will be engaged to work on an EU significant project – Perseus: Protection of European seas and borders through the intelligent use of surveillance, which will involve collaboration with colleagues from Institutes and organisations across the EU.

    The candidate will contribute also to related projects.

    Specifically, the objectives of the post are to:
    • Train End Users to the new functionalities and detection means introduced by PERSEUS into their environments before the SoS is used live during the Trials and the Demonstrations. The training will be performed on a combination of the End Users existing systems, and simulation platforms.
    • Contribute to the definition of the system of systems architecture, compliant with users’ organisations and the existing systems.
    • Contribute to the delivery an integrated and verified System of Systems (SoS) for the Field Trials and demonstrations.
    • Contribute to the delivery of a simulation and training tool for the End Users training.

    Application Deadline

    01/09/2011

    Application e-mail

    paul DOT walsh AT cit DOT ie
     
  17. thanh_lam

    thanh_lam UNIPI

    PhD Student Positions in Future Vehicular Systems: Algorithms and Networking

    The research focuses on vehicular systems and networks with an emphasis on their algorithms and programming. The project’s context is on the algorithmic design of communication protocols for vehicular networks (VANETs), replication schemes for VANETs, algorithmic support for vehicle cooperation and reliable distributed assessment of global system state. This work involves both the system algorithmic design and proof of concept implementation.
    Description

    The department of Computer Science and Engineering provides a strong, international, and dynamic research environment with about 70 faculty and 70 PhD students from about 30 countries. For more information, see www.chalmers.se/cse/EN/.

    The Distributed Computing and Systems research group www.cse.chalmers.se/research/group/dcs/ conducts research with high-impact internationally on the design and analysis of distributed algorithms and systems, fault tolerance (with emphasis on self-stabilization and game theory), runtime systems, and parallel algorithms and data structures for highly parallel, heterogeneous, many-core systems. The group is running a set of national and international projects in the area and participates on a recently started European Project on vehicular systems and their networks (KARYON).

    The research focuses on vehicular systems and networks with an emphasis on their algorithms and programming. The project’s context is on the algorithmic design of communication protocols for vehicular networks (VANETs), replication schemes for VANETs, algorithmic support for vehicle cooperation and reliable distributed assessment of global system state. This work involves both the system algorithmic design and proof of concept implementation.

    Application Deadline

    30/09/2011

    Application website

    http://www.chalmers.se/cse/EN

    elad AT chalmers DOT se

    http://www.chalmers.se/cse/EN
     
  18. mtcmos

    mtcmos Viên mãn

    Cái này cho bạn nào hết MSc đang băn khoăn học tiếp hay đi kiếm job

    Good luck

    /TH

     
    CyberPhysical likes this.
  19. swordsman

    swordsman Thèm thuồng

    PhD Studentship
    Faculty of Computer Science & Technology
    Vacancy Reference No: NR08848

    Limit of tenure applies*

    Applications are invited for one PhD studentship in the Security Group at the Computer Laboratory to work with Dr Steven Murdoch. Funding for this position is provided by Microsoft Research Cambridge and Research Councils UK through the Dorothy Hodgkin Postgraduate Awards scheme. As such, applicants must be nationals from India, China, Hong Kong, South Africa, Brazil, Russia or countries in the developing world as defined by the Development Assistance Committee of the OECD: http://www.oecd.org/dataoecd/32/40/43540882.pdf

    The successful candidate will undertake research in the field of anonymous communications and privacy enhancing technologies. This broad research area provides considerable scope for the PhD candidate to find his or her own research direction.

    Candidates should have a minimum upper 2nd honours degree or its equivalent in computer science, software engineering or a closely related discipline, and ideally, a Master's degree in a computer-science related field. Strong mathematical and programming skills, along with a keen interest in privacy and anonymous communications, are essential. A good understanding of networking and operating systems is highly desirable.

    Candidates should send a CV, academic transcript, and statement of proposed research (no more than 3000 words, indicating their intended research topic, objectives and strategies) to Steven.Murdoch@cl.cam.ac.uk by 28 October 2011. Shortlisted candidates will be notified via email by 4 November 2011 and will be invited to submit a formal application to the University, which must be completed by 25 November 2011.

    The successful candidate will receive full funding (covering maintenance and fees) for three years, and must be available to start on 10 April 2012.

    Further enquiries should be sent to Steven.Murdoch@cl.cam.ac.uk.

    * Limit of tenure: 3 years

    Closing date: 28 October 2011.

    http://www.admin.cam.ac.uk/offices/hr/jobs/vacancies.cgi?job=8848
     
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