Tuesday, 12 February 2013
Assistant/Associate Professorship or Professorship in Computer Systems/Data Management
Department of Computer Science, Faculty of Science, University of Copenhagen.
The Department of Computer Science (www.diku.dk) at the University of
Copenhagen invites applications for 1-2 positions in computer systems
and/or data management. Candidates at all levels are invited to apply:
full professor, associate professor and assistant professor.
The department is expanding its research and teaching activities in big
data and cloud computing. Also, the department is expected to collaborate
closely with the upcoming Data Management and Software Center (DMSC) for
the European Spallation Source (ESS) in Lund
(europeanspallationsource.se/data-management-and-software).
The applicant should have significant research experience in the area of
computer systems and/or data management. Some relevant subareas include:
databases, distributed systems, parallel systems (including language
design and compilation techniques), computer networks, security and cloud
computing. The applicant´s research should include considerable
experimental experience.
For positions at the associate and full professorship level, significant
research management experience and documented ability to attract research
grants is expected.
Assistant professorships have been established to promote the careers of
young scientists. The initial appointment is for four years. If the
applicant is successful a permanent position within the same research area
will subsequently be advertised through an open call.
Successful candidates are expected to be involved in teaching primarily on
the computer science program, but also on other IT programs at the
department such as the bachelor´s and master´s programs in Communication
& IT.
The positions are open from August 1, 2013 or as soon as possible
thereafter.
Duties may include the successful applicant's own research, development
of the field, assessment tasks, grant applications, and research
management such as supervision and training of research fellows and other
staff. The successful applicant must also teach, prepare and participate
in examinations, and fulfill other tasks requested by the Department.
Information on the Department is linked at www.science.ku.dk/institutter,
and enquiries about the position can be made to Professor Martin
Zachariasen, Head of Department, tel. 28751357 and e-mail martinz@diku.dk.
According to the Ministerial Circular on Job Structure it requires a Ph.D.
or corresponding scientific qualifications to apply for an Assistant
Professorship. Appointment to an Assistant Professor position is limited
to a 4 year fixed-term period. During that period, the Assistant Professor
must attend a course in pedagogy (adjunktpædagogikum) or provide evidence
of similar qualifications.
Terms of appointment and payment accord to the agreement between the
Ministry of Finance and The Danish Confederation of Professional
Associations on Academics in the State
(perst.dk/Service%20Menu/Love%20regler%20og%20aftaler/Circular/2012/~/media
/Circular/2012/013-12.ashx). While negotiation for salary supplement is
possible, the starting salary is currently
For Professors - DKK 579,959 including annual supplement (+ pension DKK
99.173)
And
For Associate Professors - up to DKK 441,149 including annual supplement
(+ pension up to DKK 75,437)
And
For Assistant Professors - up to DKK 402,046 including annual supplement
(+ pension up to DKK 68,750)
The application, in English, must be submitted electronically at
http://www.offentlige-stillinger.dk/sites/cfml/kbhuni/kbhuniVis.cfm?plugin=
1&englishJobs=NO&nJobNo=211393.
Please note that the materials that should be considered in the assessment
must be attached the application form you will find under that address.
You must indicate in your application whether you are applying for an
assistant professorship, an associate professorship or a professorship.
Please include in the following order:
Curriculum vitae (with applicants e-mail address & telephone number)
Description (max. 5 pages) of current and proposed research including its
relation to other research at the Department
Description and documentation of teaching experience and qualifications
Full contact details (Name, address, telephone & email) of 2 professional
references
Complete publication list indicating max. 5 papers particularly relevant
to the application
Reprints of the 5 particularly relevant papers
The University wishes our staff to reflect the diversity of society and
thus welcomes applications from all qualified candidates regardless of
personal background.
The deadline for applications is 26 February 2013. Applications or
supplementary material received thereafter will not be considered. Please
refer to the following no. in future communication in this case: 211-0171.
Assessment of applicants will primarily consider their level of
documented, original scientific production at an international level,
including contributions to developments in their field. The teaching,
managerial, out-reach, and innovative qualifications of applicants will
also be considered.
Further procedure:
Applicants will be notified of the composition of the assessment committee
Applicants must provide supplementary documentation if requested by the
committee
Applicants may be summoned for an interview and/or requested to give a
trial lecture
Each applicant will receive that part of the assessment relating to
him/herself
Apply online at
http://www.offentlige-stillinger.dk/sites/cfml/kbhuni/kbhuniVis.cfm?plugin=
1&englishJobs=NO&nJobNo=211393.
Founded in 1479, the University of Copenhagen is the oldest university in
Denmark. With 37,000 students and 9,000 employees, it is among the largest
universities in Scandinavia and one of the highest ranking in Europe. The
University consists of six faculties, which cover Health and Medical
Sciences, Humanities, Law, Science, Social Sciences and Theology.
Department of Computer Science, Faculty of Science, University of Copenhagen.
The Department of Computer Science (www.diku.dk) at the University of
Copenhagen invites applications for 1-2 positions in computer systems
and/or data management. Candidates at all levels are invited to apply:
full professor, associate professor and assistant professor.
The department is expanding its research and teaching activities in big
data and cloud computing. Also, the department is expected to collaborate
closely with the upcoming Data Management and Software Center (DMSC) for
the European Spallation Source (ESS) in Lund
(europeanspallationsource.se/data-management-and-software).
The applicant should have significant research experience in the area of
computer systems and/or data management. Some relevant subareas include:
databases, distributed systems, parallel systems (including language
design and compilation techniques), computer networks, security and cloud
computing. The applicant´s research should include considerable
experimental experience.
For positions at the associate and full professorship level, significant
research management experience and documented ability to attract research
grants is expected.
Assistant professorships have been established to promote the careers of
young scientists. The initial appointment is for four years. If the
applicant is successful a permanent position within the same research area
will subsequently be advertised through an open call.
Successful candidates are expected to be involved in teaching primarily on
the computer science program, but also on other IT programs at the
department such as the bachelor´s and master´s programs in Communication
& IT.
The positions are open from August 1, 2013 or as soon as possible
thereafter.
Duties may include the successful applicant's own research, development
of the field, assessment tasks, grant applications, and research
management such as supervision and training of research fellows and other
staff. The successful applicant must also teach, prepare and participate
in examinations, and fulfill other tasks requested by the Department.
Information on the Department is linked at www.science.ku.dk/institutter,
and enquiries about the position can be made to Professor Martin
Zachariasen, Head of Department, tel. 28751357 and e-mail martinz@diku.dk.
According to the Ministerial Circular on Job Structure it requires a Ph.D.
or corresponding scientific qualifications to apply for an Assistant
Professorship. Appointment to an Assistant Professor position is limited
to a 4 year fixed-term period. During that period, the Assistant Professor
must attend a course in pedagogy (adjunktpædagogikum) or provide evidence
of similar qualifications.
Terms of appointment and payment accord to the agreement between the
Ministry of Finance and The Danish Confederation of Professional
Associations on Academics in the State
(perst.dk/Service%20Menu/Love%20regler%20og%20aftaler/Circular/2012/~/media
/Circular/2012/013-12.ashx). While negotiation for salary supplement is
possible, the starting salary is currently
For Professors - DKK 579,959 including annual supplement (+ pension DKK
99.173)
And
For Associate Professors - up to DKK 441,149 including annual supplement
(+ pension up to DKK 75,437)
And
For Assistant Professors - up to DKK 402,046 including annual supplement
(+ pension up to DKK 68,750)
The application, in English, must be submitted electronically at
http://www.offentlige-stillinger.dk/sites/cfml/kbhuni/kbhuniVis.cfm?plugin=
1&englishJobs=NO&nJobNo=211393.
Please note that the materials that should be considered in the assessment
must be attached the application form you will find under that address.
You must indicate in your application whether you are applying for an
assistant professorship, an associate professorship or a professorship.
Please include in the following order:
Curriculum vitae (with applicants e-mail address & telephone number)
Description (max. 5 pages) of current and proposed research including its
relation to other research at the Department
Description and documentation of teaching experience and qualifications
Full contact details (Name, address, telephone & email) of 2 professional
references
Complete publication list indicating max. 5 papers particularly relevant
to the application
Reprints of the 5 particularly relevant papers
The University wishes our staff to reflect the diversity of society and
thus welcomes applications from all qualified candidates regardless of
personal background.
The deadline for applications is 26 February 2013. Applications or
supplementary material received thereafter will not be considered. Please
refer to the following no. in future communication in this case: 211-0171.
Assessment of applicants will primarily consider their level of
documented, original scientific production at an international level,
including contributions to developments in their field. The teaching,
managerial, out-reach, and innovative qualifications of applicants will
also be considered.
Further procedure:
Applicants will be notified of the composition of the assessment committee
Applicants must provide supplementary documentation if requested by the
committee
Applicants may be summoned for an interview and/or requested to give a
trial lecture
Each applicant will receive that part of the assessment relating to
him/herself
Apply online at
http://www.offentlige-stillinger.dk/sites/cfml/kbhuni/kbhuniVis.cfm?plugin=
1&englishJobs=NO&nJobNo=211393.
Founded in 1479, the University of Copenhagen is the oldest university in
Denmark. With 37,000 students and 9,000 employees, it is among the largest
universities in Scandinavia and one of the highest ranking in Europe. The
University consists of six faculties, which cover Health and Medical
Sciences, Humanities, Law, Science, Social Sciences and Theology.
Full-Time Professor Position in Computer Science at the Vrije Universiteit
Brussel (Belgium)
A tenured professor position (assistant or associate) in Computer Science
(in the domain of Web and Information Systems Engineering) is available in
the Department of Computer Science (Faculty of Sciences) at the Vrije
Universiteit Brussel, Belgium.
Planned starting date: October 1, 2013
Length of contract: 3 years, with possibility for a permanent position
Required degree: PhD in (Computer) Science/Engineering
Research
--------
The candidate is expected to reinforce the research of the WISE Lab
(http://wise.vub.ac.be) by initiating and conducting research in a field
that is related but complementary to the WISE lab's current research on
Web and Information Systems Engineering. Special preference will be given
to candidates with a strong expertise in information visualisation,
information retrieval or information (data) mining.
The applicant has to fit in the research culture of the WISE lab, which
puts a strong emphasis on conceptual modelling, design techniques and
methods, semantics and usability, as well as on engineering methodologies,
tool development and software frameworks.
The selected candidate is expected to contribute to the general duties of
the department and the research group as specified by the university for
the grade given (i.e. supervision of PhD and MSc students as well as
launching and seeking financing for new research projects).
Teaching
--------
The teaching load associated with a full-time appointment includes
teaching general Computer Science courses at the bachelor level as well as
specialised, research related courses at the master level. The concrete
list of courses will be negotiated based on the selected candidate?s
expertise but will be situated in the broad field of databases,
information systems and/or web systems.
Desired Profile
---------------
- The candidate should preferably have a strong expertise in one of the
following domains: information visualisation, information retrieval, or
information (data) mining.
- The applicant has to have outstanding academic credentials and an
excellent publication record that demonstrate the required expertise.
- The applicant is expected to have experience with supervising PhD and
MSc students and with managing research.
- The applicant has to have a track record or has to demonstrate potential
for launching and seeking financing for new research projects.
- The candidate should be able to teach both in English and in Dutch. A
candidate without knowledge of Dutch must be prepared to learn Dutch in a
reasonable period of time, which is a condition for a permanent position
after 3 years.
- Female candidates are particularly encouraged to apply.
- The candidate is expected to endorse the educational vision of the
university (full text available on the university web site).
- Every first appointment is dependent upon the successful delivery of a
teaching session.
Application deadline: March 28, 2013
More details about the position and the application procedure are
available at:
http://vub.talentfinder.be/en/vacature/3948/we-2013-003-senior-academic-sta
ff--senior-lecturer--100--computer-science--web--information-systems/
If you have questions about the position please feel free to contact:
- Prof. Olga De Troyer, Olga.DeTroyer@vub.ac.be, +32 2 629 3504
- Prof. Beat Signer, Beat.Signer@vub.ac.be, +32 2 629 1239
Brussel (Belgium)
A tenured professor position (assistant or associate) in Computer Science
(in the domain of Web and Information Systems Engineering) is available in
the Department of Computer Science (Faculty of Sciences) at the Vrije
Universiteit Brussel, Belgium.
Planned starting date: October 1, 2013
Length of contract: 3 years, with possibility for a permanent position
Required degree: PhD in (Computer) Science/Engineering
Research
--------
The candidate is expected to reinforce the research of the WISE Lab
(http://wise.vub.ac.be) by initiating and conducting research in a field
that is related but complementary to the WISE lab's current research on
Web and Information Systems Engineering. Special preference will be given
to candidates with a strong expertise in information visualisation,
information retrieval or information (data) mining.
The applicant has to fit in the research culture of the WISE lab, which
puts a strong emphasis on conceptual modelling, design techniques and
methods, semantics and usability, as well as on engineering methodologies,
tool development and software frameworks.
The selected candidate is expected to contribute to the general duties of
the department and the research group as specified by the university for
the grade given (i.e. supervision of PhD and MSc students as well as
launching and seeking financing for new research projects).
Teaching
--------
The teaching load associated with a full-time appointment includes
teaching general Computer Science courses at the bachelor level as well as
specialised, research related courses at the master level. The concrete
list of courses will be negotiated based on the selected candidate?s
expertise but will be situated in the broad field of databases,
information systems and/or web systems.
Desired Profile
---------------
- The candidate should preferably have a strong expertise in one of the
following domains: information visualisation, information retrieval, or
information (data) mining.
- The applicant has to have outstanding academic credentials and an
excellent publication record that demonstrate the required expertise.
- The applicant is expected to have experience with supervising PhD and
MSc students and with managing research.
- The applicant has to have a track record or has to demonstrate potential
for launching and seeking financing for new research projects.
- The candidate should be able to teach both in English and in Dutch. A
candidate without knowledge of Dutch must be prepared to learn Dutch in a
reasonable period of time, which is a condition for a permanent position
after 3 years.
- Female candidates are particularly encouraged to apply.
- The candidate is expected to endorse the educational vision of the
university (full text available on the university web site).
- Every first appointment is dependent upon the successful delivery of a
teaching session.
Application deadline: March 28, 2013
More details about the position and the application procedure are
available at:
http://vub.talentfinder.be/en/vacature/3948/we-2013-003-senior-academic-sta
ff--senior-lecturer--100--computer-science--web--information-systems/
If you have questions about the position please feel free to contact:
- Prof. Olga De Troyer, Olga.DeTroyer@vub.ac.be, +32 2 629 3504
- Prof. Beat Signer, Beat.Signer@vub.ac.be, +32 2 629 1239
Monday, 11 February 2013
Full Professor Position in Computer Science
Paris Dauphine University
Position No: 0288
Job profile:
The University Paris-Dauphine opens a full professor position in Computer
Science. Research will be carried within the Data Management and
Information Systems research groups of the LAMSADE Lab, CNRS UMR 7243.
Teaching will occur for several University Departments, but mainly for the
Department of Mathematics and Computer Science.
Research Fields: Computer Science, Data Management, Information Systems,
Big Data Analytics
****************************************************************
Research:
Profile: the recruited professor will carry his/her research within the
LAMSADE (see below) and for the University Paris Dauphine. More
specifically we are looking for senior researchers with a strong record in
fields such as algorithmic for massive data bases, data warehouses, web
services, cloud computing, data oriented engineering, process modeling and
management, information systems, knowledge management and decision support.
Potential candidates are invited to get in touch with:
Alexis Tsoukias, director of the LAMSADE
Location: LAMSADE UMR CNRS no 7243, University Paris-Dauphine, France
Director of the laboratory: Alexis Tsoukias
Phone : 0144054401
e-mail: tsoukias@lamsade.dauphine.fr
URL: www.lamsade.dauphine.fr
About the laboratory: the LAMSADE is a joint laboratory of Université
Paris Dauphine and the CNRS. The research activities of the lab are at the
edge of Computer Science and Decision Support (and more specifically
Operational Research). Both fundamental and applied research is carried
around subjects such as: decision support, decision theory, social choice
theory, operational research, combinatorial optimization, algorithmic
complexity, mathematical programming, decision and artificial
intelligence, information systems, data bases, analytics. We are proud to
be a world class laboratory in Decision Sciences and Technologies.
Teaching:
Profile: the recruited professor is expected to contribute to the training
provided by the Computer Science and Mathematics Department of the
University. Likely she/he may have to teach also for classes for other
University Departments. Teaching may need to be carried at any among the
five years of classes. More specifically it is expected to be able to
teach data bases, information systems, as well as software engineering,
programming languages, web technology etc. Under such a perspective being
experienced in teaching in such fields will be highly appreciated. It is
also expected that the recruited professor will soon be asked to take upon
relevant organization and training responsibilities.
Training Department: MIDO (Mathematiques, Informatique de la Decision et
des Organisations)
Location: University Paris-Dauphine, France
Department co-director: Ridha Mahjoub
Phone: 01 44 05 48 96
e-mail: mahjoub@lamsade.dauphine.fr
URL: www.mido.dauphine.fr
Paris Dauphine University
Position No: 0288
Job profile:
The University Paris-Dauphine opens a full professor position in Computer
Science. Research will be carried within the Data Management and
Information Systems research groups of the LAMSADE Lab, CNRS UMR 7243.
Teaching will occur for several University Departments, but mainly for the
Department of Mathematics and Computer Science.
Research Fields: Computer Science, Data Management, Information Systems,
Big Data Analytics
****************************************************************
Research:
Profile: the recruited professor will carry his/her research within the
LAMSADE (see below) and for the University Paris Dauphine. More
specifically we are looking for senior researchers with a strong record in
fields such as algorithmic for massive data bases, data warehouses, web
services, cloud computing, data oriented engineering, process modeling and
management, information systems, knowledge management and decision support.
Potential candidates are invited to get in touch with:
Alexis Tsoukias, director of the LAMSADE
Location: LAMSADE UMR CNRS no 7243, University Paris-Dauphine, France
Director of the laboratory: Alexis Tsoukias
Phone : 0144054401
e-mail: tsoukias@lamsade.dauphine.fr
URL: www.lamsade.dauphine.fr
About the laboratory: the LAMSADE is a joint laboratory of Université
Paris Dauphine and the CNRS. The research activities of the lab are at the
edge of Computer Science and Decision Support (and more specifically
Operational Research). Both fundamental and applied research is carried
around subjects such as: decision support, decision theory, social choice
theory, operational research, combinatorial optimization, algorithmic
complexity, mathematical programming, decision and artificial
intelligence, information systems, data bases, analytics. We are proud to
be a world class laboratory in Decision Sciences and Technologies.
Teaching:
Profile: the recruited professor is expected to contribute to the training
provided by the Computer Science and Mathematics Department of the
University. Likely she/he may have to teach also for classes for other
University Departments. Teaching may need to be carried at any among the
five years of classes. More specifically it is expected to be able to
teach data bases, information systems, as well as software engineering,
programming languages, web technology etc. Under such a perspective being
experienced in teaching in such fields will be highly appreciated. It is
also expected that the recruited professor will soon be asked to take upon
relevant organization and training responsibilities.
Training Department: MIDO (Mathematiques, Informatique de la Decision et
des Organisations)
Location: University Paris-Dauphine, France
Department co-director: Ridha Mahjoub
Phone: 01 44 05 48 96
e-mail: mahjoub@lamsade.dauphine.fr
URL: www.mido.dauphine.fr
Faculty position at Paris-Dauphine University
Position no: 0230
Job profile
Paris-Dauphine University opens a teaching and research position (maitre
de confences) in Computer Science in data management and information
systems fields. Research will take place at LAMSADE Lab. Teaching will
take place in the University departments, mainly the Department of
Mathematics and Computer Science (MIDO).
Research Fields: Computer Science, Data Management, Information Systems,
Big Data Analytics
Contact:
Professor Daniela Grigori: daniela.grigori@lamsade.dauphine.fr
****************************************************************
Recherche:
Profil: The recruited person will carry his/her research within the
LAMSADE (see below) and for the University Paris Dauphine in data
management and information systems. The research topics that are currently
addressed in Lamsade in these fields are: algorithmic for masses of
complex data, data warehouse for scientific data, Web Services, business
process management, cloud computing, management of web and heterogeneous
data.
Potential candidates are invited to get in touch with:
Professor Daniela Grigori: daniela.grigori@lamsade.dauphine.fr
Location: LAMSADE UMR CNRS no 7243, University Paris-Dauphine
Director of the laboratory: Alexis Tsoukias
Phone: 0144054401
e-mail: tsoukias@lamsade.dauphine.fr
URL: www.lamsade.dauphine.fr
About the laboratory: the LAMSADE is a joint laboratory of Université
Paris Dauphine and the CNRS. The research activities of the lab are at the
edge of Computer Science and Decision Support (and more specifically
Operational Research). Both fundamental and applied research is carried
around subjects such as: decision support, decision theory, social choice
theory, operational research, combinatorial optimization, algorithmic
complexity, mathematical programming, decision and artificial
intelligence, information systems, data bases, analytics. We are proud to
be a world class laboratory in Decision Sciences and Technologies.
Teaching:
Profile: the recruited person is expected to contribute to the training
provided by the Computer Science and Mathematics Department of the
University. Likely she/he may have to teach also classes for other
University Departments. Teaching may need to be carried at any among the
five years of studies. More specifically he is expected to be able to
teach mainly information systems and databases. Experience in other fields
like software engineering, programming languages, data mining, web
technology, networks, will be highly appreciated:.
Training Department: MIDO (Mathematiques, Informatique de la Decision et
des Organisations)
Location: Paris-Dauphine University
Department co-director: Ridha Mahjoub
Phone: 01 44 05 48 96
e-mail: mahjoub@lamsade.dauphine.fr
URL: www.mido.dauphine.fr
Position no: 0230
Job profile
Paris-Dauphine University opens a teaching and research position (maitre
de confences) in Computer Science in data management and information
systems fields. Research will take place at LAMSADE Lab. Teaching will
take place in the University departments, mainly the Department of
Mathematics and Computer Science (MIDO).
Research Fields: Computer Science, Data Management, Information Systems,
Big Data Analytics
Contact:
Professor Daniela Grigori: daniela.grigori@lamsade.dauphine.fr
****************************************************************
Recherche:
Profil: The recruited person will carry his/her research within the
LAMSADE (see below) and for the University Paris Dauphine in data
management and information systems. The research topics that are currently
addressed in Lamsade in these fields are: algorithmic for masses of
complex data, data warehouse for scientific data, Web Services, business
process management, cloud computing, management of web and heterogeneous
data.
Potential candidates are invited to get in touch with:
Professor Daniela Grigori: daniela.grigori@lamsade.dauphine.fr
Location: LAMSADE UMR CNRS no 7243, University Paris-Dauphine
Director of the laboratory: Alexis Tsoukias
Phone: 0144054401
e-mail: tsoukias@lamsade.dauphine.fr
URL: www.lamsade.dauphine.fr
About the laboratory: the LAMSADE is a joint laboratory of Université
Paris Dauphine and the CNRS. The research activities of the lab are at the
edge of Computer Science and Decision Support (and more specifically
Operational Research). Both fundamental and applied research is carried
around subjects such as: decision support, decision theory, social choice
theory, operational research, combinatorial optimization, algorithmic
complexity, mathematical programming, decision and artificial
intelligence, information systems, data bases, analytics. We are proud to
be a world class laboratory in Decision Sciences and Technologies.
Teaching:
Profile: the recruited person is expected to contribute to the training
provided by the Computer Science and Mathematics Department of the
University. Likely she/he may have to teach also classes for other
University Departments. Teaching may need to be carried at any among the
five years of studies. More specifically he is expected to be able to
teach mainly information systems and databases. Experience in other fields
like software engineering, programming languages, data mining, web
technology, networks, will be highly appreciated:.
Training Department: MIDO (Mathematiques, Informatique de la Decision et
des Organisations)
Location: Paris-Dauphine University
Department co-director: Ridha Mahjoub
Phone: 01 44 05 48 96
e-mail: mahjoub@lamsade.dauphine.fr
URL: www.mido.dauphine.fr
PhD Studentships - 22 Posts - Centre for Next Generation Localisation
Laboratories, Trinity College Dublin
Post Status: 3 year PhD Studentships
Department: Centre for Next Generation Localisation Laboratories, KDEG,
Trinity College Dublin
Benefits: Payment of tax free stipend and academic fees
Closing date for applications: 28th February 2013
General enquires concerning these posts can be addressed to
Dominic.Jones@scss.tcd.ie
Summary:
The Centre for Next Generation Localisation (www.cngl.ie) seeks to revolutionise the way people
interact with content, systems and each other to achieve unprecedented levels of content access,
process efficiency and user empowerment. Breakthroughs in the creation, processing, unification and
integration of multilingual, multi-modal and multimedia content are needed to meet the needs of an
increasingly mobile and multilingual society across global markets. CNGL will enable content to be
created, discovered, translated and personalised, so as to efficiently and effectively deliver
natural and engaging web-mediated interactions between users, organisations and communities
regardless of language, device and preferences of the user.
CNGL is internationally renown for its strong, strategic mix of leading researchers in language,
adaptive content, interaction and knowledge engineering technologies and its tight engagement with
innovation-driven companies that work with content at a global level. CNGL has recently received
further multi-million funding from Science Foundation Ireland. As a result Trinity College Dublin
(TCD) is now offering 22 new PhD studentships in the areas of:
Text Analytics for managing large scale multilingual corpora.
Content-aware multilingual Search and Discovery technologies
Adaptive context-aware search
Intelligent slicing and adaptation of content
Social-aware, affective content adaptation
Constructing affective dialogue solutions
Interoperability and analytics for intelligent content processing chains
Requirements:
The successful candidate will have an excellent academic record (first
class or II.1 primary degree
or a postgraduate qualification, e.g. M.Sc.) in Computer Science, or a
related discipline. They will
be highly motivated, with strong written and oral communication skills and
a demonstrated
proficiency in software development. They must be eager to work in and
learn from multi-disciplinary
and multi-organisation teams. They should have English language
certification if English is not
their first language, the requirement being: IELTS: 7.0+, TOEFL iBT: 100+,
TOEFL pBT: 600+, CEF:
C1+, or equivalent.
Application Procedure:
For further information and informal contact, please refer to the PhD
topic details
found at: http://www.scss.tcd.ie/Dominic.Jones/cngl2-phd-details.pdf
Please directly contact the relevant supervisor, depending upon the
position you're interested in,
via email including:
A targeted cover letter (600-1000 words) expressing your suitability for a
position
A complete CV
Please also copy Dominic Jones - Dominic.Jones@scss.tcd.ie
Applicants may then be invited to apply via the TCD graduate studies
admission system.
Further Information:
Centre for Next Generation Localisation
CNGL is a €50M Academia-Industry partnership based in Ireland. It is
unique internationally in
addressing the integrated research and development of novel content,
knowledge and language
processing technologies for the global, multi-lingual web content and
services supply chain. Â It is
made up of over 100 researchers in labs integrated across Trinity College
Dublin (TCD), Dublin City
University (DCU), University College Dublin (UCD), University of Limerick
(UL), as well as ten
industrial partners, including SMEs, NGOs and multinationals such as
Microsoft, Symantec, Intel and
Welocalize. In addition to central funding from Science Foundation Ireland
(SFI), CNGL has a wide
portfolio of European FP7 projects and commercial projects. It therefore
offers unique opportunities
for international and industrial research collaboration at the highest
level in areas of language
technology, multi-lingual web and adaptive, personalised content. CNGL
provides a world class
collaborative research and innovation environment. It provides:
world-class PhD supervision by
integrated teams of leading academics; an experienced and supportive lab
community of postdoctoral
researchers and research programmers; excellent collaboration and
computing facilities; wide ranging
skills training opportunities; a dedicated management and administration
team and an active
commercialisation development pipeline.
Trinity College Dublin
Founded in 1592, Trinity College Dublin is the oldest university in
Ireland and one of the older
universities of Western Europe. On today's campus, state-of-the-art
libraries, laboratories and IT
facilities, stand alongside historic buildings on a city-centre 47-acre
campus. Based in the heart
of Dublin, TCD offers an exceptional working and social environment that
attracts students and
researchers from around the world. TCD's research impact is currently
ranked 44th in the World by
the Times Higher Education Ranking of World Universities and 10th in
Europe by the Leiden University
Ranking of World Universities based on research performance. As Ireland's
premier university, the
pursuit of excellence through research and scholarship is at the core of a
Trinity education. TCD
has an outstanding record of publications in high-impact journals, and a
track record in winning
research funding which is among the best in the country.
Equal Opportunities Policy
Trinity College Dublin is an equal opportunities employer and is committed
to the employment
policies, procedures and practices which do not discriminate on grounds
such as gender, marital
status, family status, age, disability, race, religious belief, sexual
orientation or membership of
the travelling community. See also:
https://www.tcd.ie/Graduate_Studies/Research2012.pdf
Laboratories, Trinity College Dublin
Post Status: 3 year PhD Studentships
Department: Centre for Next Generation Localisation Laboratories, KDEG,
Trinity College Dublin
Benefits: Payment of tax free stipend and academic fees
Closing date for applications: 28th February 2013
General enquires concerning these posts can be addressed to
Dominic.Jones@scss.tcd.ie
Summary:
The Centre for Next Generation Localisation (www.cngl.ie) seeks to revolutionise the way people
interact with content, systems and each other to achieve unprecedented levels of content access,
process efficiency and user empowerment. Breakthroughs in the creation, processing, unification and
integration of multilingual, multi-modal and multimedia content are needed to meet the needs of an
increasingly mobile and multilingual society across global markets. CNGL will enable content to be
created, discovered, translated and personalised, so as to efficiently and effectively deliver
natural and engaging web-mediated interactions between users, organisations and communities
regardless of language, device and preferences of the user.
CNGL is internationally renown for its strong, strategic mix of leading researchers in language,
adaptive content, interaction and knowledge engineering technologies and its tight engagement with
innovation-driven companies that work with content at a global level. CNGL has recently received
further multi-million funding from Science Foundation Ireland. As a result Trinity College Dublin
(TCD) is now offering 22 new PhD studentships in the areas of:
Text Analytics for managing large scale multilingual corpora.
Content-aware multilingual Search and Discovery technologies
Adaptive context-aware search
Intelligent slicing and adaptation of content
Social-aware, affective content adaptation
Constructing affective dialogue solutions
Interoperability and analytics for intelligent content processing chains
Requirements:
The successful candidate will have an excellent academic record (first
class or II.1 primary degree
or a postgraduate qualification, e.g. M.Sc.) in Computer Science, or a
related discipline. They will
be highly motivated, with strong written and oral communication skills and
a demonstrated
proficiency in software development. They must be eager to work in and
learn from multi-disciplinary
and multi-organisation teams. They should have English language
certification if English is not
their first language, the requirement being: IELTS: 7.0+, TOEFL iBT: 100+,
TOEFL pBT: 600+, CEF:
C1+, or equivalent.
Application Procedure:
For further information and informal contact, please refer to the PhD
topic details
found at: http://www.scss.tcd.ie/Dominic.Jones/cngl2-phd-details.pdf
Please directly contact the relevant supervisor, depending upon the
position you're interested in,
via email including:
A targeted cover letter (600-1000 words) expressing your suitability for a
position
A complete CV
Please also copy Dominic Jones - Dominic.Jones@scss.tcd.ie
Applicants may then be invited to apply via the TCD graduate studies
admission system.
Further Information:
Centre for Next Generation Localisation
CNGL is a €50M Academia-Industry partnership based in Ireland. It is
unique internationally in
addressing the integrated research and development of novel content,
knowledge and language
processing technologies for the global, multi-lingual web content and
services supply chain. Â It is
made up of over 100 researchers in labs integrated across Trinity College
Dublin (TCD), Dublin City
University (DCU), University College Dublin (UCD), University of Limerick
(UL), as well as ten
industrial partners, including SMEs, NGOs and multinationals such as
Microsoft, Symantec, Intel and
Welocalize. In addition to central funding from Science Foundation Ireland
(SFI), CNGL has a wide
portfolio of European FP7 projects and commercial projects. It therefore
offers unique opportunities
for international and industrial research collaboration at the highest
level in areas of language
technology, multi-lingual web and adaptive, personalised content. CNGL
provides a world class
collaborative research and innovation environment. It provides:
world-class PhD supervision by
integrated teams of leading academics; an experienced and supportive lab
community of postdoctoral
researchers and research programmers; excellent collaboration and
computing facilities; wide ranging
skills training opportunities; a dedicated management and administration
team and an active
commercialisation development pipeline.
Trinity College Dublin
Founded in 1592, Trinity College Dublin is the oldest university in
Ireland and one of the older
universities of Western Europe. On today's campus, state-of-the-art
libraries, laboratories and IT
facilities, stand alongside historic buildings on a city-centre 47-acre
campus. Based in the heart
of Dublin, TCD offers an exceptional working and social environment that
attracts students and
researchers from around the world. TCD's research impact is currently
ranked 44th in the World by
the Times Higher Education Ranking of World Universities and 10th in
Europe by the Leiden University
Ranking of World Universities based on research performance. As Ireland's
premier university, the
pursuit of excellence through research and scholarship is at the core of a
Trinity education. TCD
has an outstanding record of publications in high-impact journals, and a
track record in winning
research funding which is among the best in the country.
Equal Opportunities Policy
Trinity College Dublin is an equal opportunities employer and is committed
to the employment
policies, procedures and practices which do not discriminate on grounds
such as gender, marital
status, family status, age, disability, race, religious belief, sexual
orientation or membership of
the travelling community. See also:
https://www.tcd.ie/Graduate_Studies/Research2012.pdf
Friday, 8 February 2013
First Call for Papers
32nd International Conference
on Conceptual Modeling (ER
on Conceptual Modeling (ER
2013)
Hong Kong, November 11-13, 2013.
Introduction
------------
The ER International Conference on Conceptual Modeling is a leading
international forum for presenting and discussing current research and
applications in which the major emphasis is on conceptual modeling. Topics
of interest span the entire spectrum of conceptual modeling including
research and practice in areas such as: theories of concepts and
ontologies underlying conceptual modeling; methods and tools for
developing and communicating conceptual models; and techniques for
transforming conceptual models into effective implementations. Also of
interest are topics related to the interaction of conceptual modeling
techniques with business strategy models and the effects (economical,
organizational, and so forth) of good conceptual modeling techniques on
the development of information systems. We encourage submissions relating
to all aspects of conceptual modeling and specifically encourage research
on topics of emerging interest.
Target audiences and the scope
------------------------------
We solicit submission of original research, as well as experience and
vision papers, from both researchers and practitioners, welcoming any
topic where conceptual modeling is a major theme. We specifically
encourage submissions on the application and role of conceptual modeling
techniques in new and emerging areas such as large data repositories for
business intelligence, cloud computing and NoSQL databases.
Specific examples of topics of interest include, but are not limited to,
conceptual modeling as applied to:
Foundations and Concept Formalization
Big Data
NoSQL Databases and Enterprise Business Models
Semantic Web, Cloud Computing, and Web Information Systems
Enterprise Architectures and Service-Oriented Architectures
Quality and Metrics of Conceptual Models
Empirical Studies of Conceptual Modeling
Ontology Modeling and Deployment
Business Process Modeling
Semi-structured Data and XML
Development and Management of Conceptual Models for Big Data
Integration of Conceptual Models and Database Schemas
Information Retrieval, Filtering, Classification, Summarization, and
Visualization
Methodologies and Tools for Conceptual Design
Requirements Engineering
Reuse, Patterns, and Object-Oriented Design
Reverse Engineering and Roundtrip Engineering
Schema Evolution and Management of Database Constraints
Spatial, Temporal, and Multimedia Aspects in Conceptual Models
Metadata and Applications
Data warehousing, Data Mining, and Business Intelligence
Applications to bioinformatics, cyber security, and privacy
Data Semantics and Integrity Constraints
Advanced and Cross-Disciplinary Applications of Conceptual Models
Important Dates
----------------
Paper abstract submission: April 1st, 2013
Full paper submission: April 8th, 2013
Paper notification: June 10th, 2013
Camera-ready paper submission: July 15th, 2013
Author registration: July 21st, 2013
ER 2013 Awards and Special Issue
--------------------------------
Springer Verlag will sponsor two awards:
Best Student Paper Award: to be given to the best paper whose first
author is a student.
Best Paper Award: to be given to the best paper.
Selected papers may be invited to submit their extended version of their
papers to a DKE special issue
Submission Guidelines
----------------------
Since the proceedings will be published by Springer in the LNCS series,
authors must submit manuscripts using the LNCS style. See
http://www.springer.de/comp/lncs/authors.html for style files and details.
The page limit for submitted papers (as well as for final, camera-ready
papers) is 14. Manuscripts not submitted in the LNCS style or exceeding
the page limit will not be reviewed and automatically rejected.
A paper submitted to ER 2013 may not be under review for any other
conference or journal during the time it is being considered for ER 2013.
Submitted papers must demonstrate to be aware of the state-of-the art
literature in conceptual modeling by properly citing relevant papers in
the field.
Submission Instructions
------------------------
Submission to ER 2013 will be electronically managed via EasyChair.
Authors are asked to submit an abstract first, and then to upload the full
paper. The submission page of ER-2013 is
http://www.easychair.org/conferences/?conf=er2013. Submitted papers must
demonstrate awareness of the state-of-the-art of the literature in
conceptual modeling by properly citing relevant papers in the field.
Program Co-Chairs
------------------
Wilfred Ng, HKUST (Hong Kong, China)
Veda C. Storey, Gerogia State Unviersity (USA)
Juan Trujillo, University of Alicante (Spain)
Program Committee
-----------------
Jacky Akoka, CNAM & TEM, France
Manish Anand, Salesforce, LTD
Jacky Akoka, CNAM & TEM, France
Jordi Cabot, INRIA-école des Mines de Nantes, France
Silvana Castano, University of Milano, Italy
Olga De Troyer, Vrije Universiteit Brussel, Belgium
Xavier Franch, Universitat Politècnica de Catalunya, Spain
Avigdor Gal, Technion-Israel Institute of Technology, Israeli
Paolo Giorgini, University of Trento, Italy
Jean-Luc Hainaut, University of Namur, Belgium
Arantza Illarramendi, Basque Country University, Spain
Wolfgang Lehner, Technische Universität Dresden, Germany
Pericles Loucopoulos, Loughborough University, UK
Jan Mendling, Wirtschaftsuniversität Wien, Austria
John Mylopoulos, University of Toronto, Canada
Antoni Olivé, Universitat Politècnica de Catalunya, Spain
Andreas L Opdahl, University of Bergen, Norway
Oscar Pastor Lopez, University of Valencia, Spain
Barbara Pernici, Politecnico di Milano, Italy
Geert Poels, Ghent University, Belgium
Henderik Proper, Public Research Centre Henri Tudor, Luxembourg
Christoph Quix, RWTH Aachen University, Germany
Jolita Ralyté, University of Geneva, Switzerland
Iris Reinhartz-Berger, University of Haifa, Israeli
Stefano Rizzi, University of Bologna, Italy
Ernest Teniente, Unversitat Politècnica de Catalunya, Spain
Joao Araujo, Universidade Nova de Lisboa, Portugal
Panos Vassiliadis, University of Ioannina, Greece
Gerd Wagner, Brandenburg University of Technology at Cottbus, Germany
Norman Paton, The University of Manchester, UK
Stefano Ceri, Politecnico di Milano, Italy
Esperanza Marcos, Universidad Rey Juan Carlos, Spain
Esteban Zimányi, Université Libre de Bruxelles, Belgium
Colette Rolland, Université Paris 1 Panthéon - Sorbonne, France
Ivan Jureta, University of Namur, Belgium
Ana Moreira, Universidade Nova de Lisboa, Portugal
Wolfgang Maass, Saarland University, Germany
Roel Wieringa, University of twente, Netherlands
Matthias Jarke, RWTH Aachen University, Germany
Rafael Berlanga, Universitat Jaume I, Spain
Valeria De Antonellis, University of Brescia, Italy
Manfred Jeusfeld, Tilburg University, Netherlands
Heinrich C. Mayr, Alpen-Adria-Universitaet Klagenfurt, Austria
Peretz Shoval, Ben-Gurion University, Israeli
Camille Salinesi, Université Paris 1 Panthéon - Sorbonne, France
Barbara Weber, University of Innsbruck, Austria
Akhilesh Bajaj, University of Tulsa, USA
Yuan An, Drexel University, USA
Shawn Bowers, Gonzaga University, USA
Roger Chiang, University of Cincinnati, USA
Isabel F. Cruz, University of Illinois, USA
Faiz Currim, University of Arizona, USA
Karen Davis, University of Cincinnati, USA
Umeshwar Dayal, Hewlett-Packard, USA
Lois Delcambre, Portland State University, USA
David W. Embley, Brigham Young University, USA
Joerg Evermann, Memorial University of Newfoundland, Canada
Giancarlo Guizzardi, Federal University of Espirito Santo, Brazil
Larry Kerschberg, George Mason University, USA
Vijay Khatri, Indiana University, USA
Alberto Laender, Federal University of Minas Gerais, Brazil
Stephen Liddle, Brigham Young University, USA
Mengchi Liu, Carleton University, Canada
José Palazzo M. De Oliveira, Universidade Federal do Rio Grande do
Sul, Brazil
Jeffrey Parsons, Memorial University of Newfoundland, Canada
Sandeep Purao, The Pennsylvania State University, USA
Sudha Ram, University of Arizona, USA
Satya Sahoo, Case Western Reserve University, USA
Il-Yeol Song, Drexel UNiversity, USA
Vijayan Sugumaran, Oakland University, USA
James Terwilliger, Microsoft Corporation, USA
Ramesh Venkataraman, Indiana University, USA
Carson Woo, University of British Columbia, Canada
Eric Yu, University of Toronto, Canada
Zhu Zhang, University of Arizona, USA
Huimin Zhao, University of Wisconsin-Milwaukee, USA
Jaelson Castro, Universidade Federal de Pernambuco, Brazil
Julio Cesar Leite, Pontifícia Universidade Católica do Rio de Janeiro,
Brazil
Stephane Bressan, National University of Singapore, Singapore
Gill Dobbie, University of Auckland, New Zealand
Mong Li Lee, National University of Singapore, Singapore
Tokwang Ling, National University of Singapore, Singapore
Zhiyong Peng, Wuhan University, China
Masatoshi Yoshikawa, Nagoya University, Japan
Shuigeng Zhou, Fudan University, China
Fred Lochovsky, The Hong Kong University of Science and Technology,
HKSAR
Xiaoling Wang, Fudan university, China
Sang-Goo Lee, Seoul National University, Korea
Dik Lun Lee, Hong Kong University of Science and Technology, HKSAR
David Taniar, Monash University, Australia
James Cheng, Chinese University of Hong Kong, HKSAR
Maryam Razavian, VU University Amsterdam, Netherlands
Mehrdad Sabetzadeh, University of Luxembourg, Luxembourg
Palash Bera, Saint Louis University, USA
Felix Garcia, University of Castilla-La Mancha, Spain
Motoshi Saeki, Tokyo Institute of Technology, Japan
Bernhard Thalheim, University of Kiel, Germany
Sandro Bimonte, irstea, France
Patrick Marcel, Université François Rabelais Tours, Laboratoire
d'Informatique, France
Zhifeng Bao, University of Singapour, Singapore
Hemant Jain, University of Wisconsin-Milwaukee, USA
Miyuki Nakano, University of Tokyo, Japan
Ada Fu, Chinese University of Hong Kong, HKSAR
Juanzi Li, Tsinghua University, China
Yi Cai, South China University of Technology, China
Yiping Ke, Institute of High Performance Computing, Singapore
Jordi Cabot, INRIA-école des Mines de Nantes, France
Silvana Castano, University of Milano, Italy
Olga De Troyer, Vrije Universiteit Brussel, Belgium
Xavier Franch, Universitat Politècnica de Catalunya, Spain
Avigdor Gal, Technion-Israel Institute of Technology, Israeli
Paolo Giorgini, University of Trento, Italy
Jean-Luc Hainaut, University of Namur, Belgium
Arantza Illarramendi, Basque Country University, Spain
Wolfgang Lehner, Technische Universität Dresden, Germany
Pericles Loucopoulos, Loughborough University, UK
Jan Mendling, Wirtschaftsuniversität Wien, Austria
John Mylopoulos, University of Toronto, Canada
Antoni Olivé, Universitat Politècnica de Catalunya, Spain
Andreas L Opdahl, University of Bergen, Norway
Oscar Pastor Lopez, University of Valencia, Spain
Barbara Pernici, Politecnico di Milano, Italy
Geert Poels, Ghent University, Belgium
Henderik Proper, Public Research Centre Henri Tudor, Luxembourg
Christoph Quix, RWTH Aachen University, Germany
Jolita Ralyté, University of Geneva, Switzerland
Iris Reinhartz-Berger, University of Haifa, Israeli
Stefano Rizzi, University of Bologna, Italy
Ernest Teniente, Unversitat Politècnica de Catalunya, Spain
Joao Araujo, Universidade Nova de Lisboa, Portugal
Panos Vassiliadis, University of Ioannina, Greece
Gerd Wagner, Brandenburg University of Technology at Cottbus, Germany
Norman Paton, The University of Manchester, UK
Stefano Ceri, Politecnico di Milano, Italy
Esperanza Marcos, Universidad Rey Juan Carlos, Spain
Esteban Zimányi, Université Libre de Bruxelles, Belgium
Colette Rolland, Université Paris 1 Panthéon - Sorbonne, France
Ivan Jureta, University of Namur, Belgium
Ana Moreira, Universidade Nova de Lisboa, Portugal
Wolfgang Maass, Saarland University, Germany
Roel Wieringa, University of twente, Netherlands
Matthias Jarke, RWTH Aachen University, Germany
Rafael Berlanga, Universitat Jaume I, Spain
Valeria De Antonellis, University of Brescia, Italy
Manfred Jeusfeld, Tilburg University, Netherlands
Heinrich C. Mayr, Alpen-Adria-Universitaet Klagenfurt, Austria
Peretz Shoval, Ben-Gurion University, Israeli
Camille Salinesi, Université Paris 1 Panthéon - Sorbonne, France
Barbara Weber, University of Innsbruck, Austria
Akhilesh Bajaj, University of Tulsa, USA
Yuan An, Drexel University, USA
Shawn Bowers, Gonzaga University, USA
Roger Chiang, University of Cincinnati, USA
Isabel F. Cruz, University of Illinois, USA
Faiz Currim, University of Arizona, USA
Karen Davis, University of Cincinnati, USA
Umeshwar Dayal, Hewlett-Packard, USA
Lois Delcambre, Portland State University, USA
David W. Embley, Brigham Young University, USA
Joerg Evermann, Memorial University of Newfoundland, Canada
Giancarlo Guizzardi, Federal University of Espirito Santo, Brazil
Larry Kerschberg, George Mason University, USA
Vijay Khatri, Indiana University, USA
Alberto Laender, Federal University of Minas Gerais, Brazil
Stephen Liddle, Brigham Young University, USA
Mengchi Liu, Carleton University, Canada
José Palazzo M. De Oliveira, Universidade Federal do Rio Grande do
Sul, Brazil
Jeffrey Parsons, Memorial University of Newfoundland, Canada
Sandeep Purao, The Pennsylvania State University, USA
Sudha Ram, University of Arizona, USA
Satya Sahoo, Case Western Reserve University, USA
Il-Yeol Song, Drexel UNiversity, USA
Vijayan Sugumaran, Oakland University, USA
James Terwilliger, Microsoft Corporation, USA
Ramesh Venkataraman, Indiana University, USA
Carson Woo, University of British Columbia, Canada
Eric Yu, University of Toronto, Canada
Zhu Zhang, University of Arizona, USA
Huimin Zhao, University of Wisconsin-Milwaukee, USA
Jaelson Castro, Universidade Federal de Pernambuco, Brazil
Julio Cesar Leite, Pontifícia Universidade Católica do Rio de Janeiro,
Brazil
Stephane Bressan, National University of Singapore, Singapore
Gill Dobbie, University of Auckland, New Zealand
Mong Li Lee, National University of Singapore, Singapore
Tokwang Ling, National University of Singapore, Singapore
Zhiyong Peng, Wuhan University, China
Masatoshi Yoshikawa, Nagoya University, Japan
Shuigeng Zhou, Fudan University, China
Fred Lochovsky, The Hong Kong University of Science and Technology,
HKSAR
Xiaoling Wang, Fudan university, China
Sang-Goo Lee, Seoul National University, Korea
Dik Lun Lee, Hong Kong University of Science and Technology, HKSAR
David Taniar, Monash University, Australia
James Cheng, Chinese University of Hong Kong, HKSAR
Maryam Razavian, VU University Amsterdam, Netherlands
Mehrdad Sabetzadeh, University of Luxembourg, Luxembourg
Palash Bera, Saint Louis University, USA
Felix Garcia, University of Castilla-La Mancha, Spain
Motoshi Saeki, Tokyo Institute of Technology, Japan
Bernhard Thalheim, University of Kiel, Germany
Sandro Bimonte, irstea, France
Patrick Marcel, Université François Rabelais Tours, Laboratoire
d'Informatique, France
Zhifeng Bao, University of Singapour, Singapore
Hemant Jain, University of Wisconsin-Milwaukee, USA
Miyuki Nakano, University of Tokyo, Japan
Ada Fu, Chinese University of Hong Kong, HKSAR
Juanzi Li, Tsinghua University, China
Yi Cai, South China University of Technology, China
Yiping Ke, Institute of High Performance Computing, Singapore
Sponsors
--------
City University of Hong Kong
The Chinese University of Hong Kong
Subscribe to:
Posts (Atom)
