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Thursday, September 10, 2009

Denmark:PhD Scholarships in Information Technology

PhD Scholarships in Information Technology, The IT University of Copenhagen, Denmark


IT University of Copenhagen (ITU) invites applications for a number of PhD scholarships starting in February 2010 in any of the faculty groups represented at ITU.

FIRST Research School: theoretical computer science and fundamental software technologies, sensornets, databases, algorithms for large amounts of data, automated reasoning, business processes, category theory, complexity, concurrency, domain theory, distributed and mobile computing, model checking, planning, software engineering, scheduling, verification, test, and configuration; efficient computation, electronic health records and electronic voting, logical frameworks, software architectures, objectoriented methodology and notations, functional and object-oriented programming languages, proof assistants, semantics, ubiquitous computing, user interfaces , workflow languages. http://www.first.dk

Center for Computer Games Research:
Game aesthetics, game ontology, games and narratives, game culture, game play, player communities, games and human computer interfaces/game testing, game artificial intelligence, player (cognitive and affective) modeling, computational intelligence and games. http://game.itu.dk/

Design of Organizational IT Group:
Computer supported cooperative work, science and technology studies, health care IT, organizations and IT, globalization and technology, mutual shaping
of culture, organizations, people, and technologies, through practices of design and use. http://www.itu.dk/research/doit/

Innovative Communication Group:
Advanced and innovative communication trends, historical and rhetorical methods of innovation, theories and applications of new media, design and development of interactive technologies in the contexts of prior and emerging cultures of information. http://www.itu.dk/research/inc/


Scholarships:
Applicants accepted will be employed and enrolled at the IT University for a period of 3 or 4 years.
Appointment and salary will be in accordance with the agreement between the Ministry of Finance and the Danish Confederation of Professional Associations (AC). For example, the basic salary of a 3 year PhD student amounts to DKK 24,594.08 per month.


Application deadline: October 7, 2009 at 12.00 noon (local time). The deadline is firm.


Applications and enclosures received at ITU after the application deadline will not be taken into
consideration.


Questions regarding this call may be directed to individual faculty members, or the ITU PhD
Administration, phdadm@itu.dk, phone: +45 7218 5065


The IT University invites all qualified candidates irrespective of age, gender, sexual orientation, religious affiliation or ethnic background to apply for the scholarships.

For more information visit >>

Tuesday, June 23, 2009

France : PhD Scholarship in Computer Science

PhD Scholarship in Computer Science / Economy at IRIT and GREMAQ, Toulouse, France


Description:
We invite, applications for an interdisciplinary 3 years PhD position in computer science and economics. The projects title is: “Epistemic states, Trust and responsibility of economical agents: from theoretical aspects to experimental studies”

Project description:
Recently computer scientists’ interest in more and more complex systems has lead to an increased use of multi-agent approaches. Multi-agent analysis allows the investigation of the interaction of autonomous agents able to make decisions and to execute the necessary actions. The characterization of these agents is done with help of a number of theoretical models, among which modal (in particular epistemic) logics. This implies that the systems and their agents are described in terms of their knowledge, beliefs, goals and intentions.


The concept of trust has been recently studied at the same time in the domain of multi-agent systems as concerning interactions of economic agents. The interaction of economic agents has been traditionally studied concerning monetary profits for the involved actors. However, today it is widely believed that decisions in economic interactions are influenced by beliefs, trust and emotions.


The objective of this research project is to study situations requiring responsibility and trust with experimental economic paradigms. We will evaluate how and when responsibility will lead to trust when interactions are repeated. The resulting states will be formally characterized by using epistemological concepts of trust and responsibility.


The ideal candidate for this position should have training in either computer science or economics, with knowledge in at least one of the areas of formal logic, game theory, simulations.


The position will be co-supervised by Andreas Herzig (IRIT, Université Paul Sabatier, Toulouse) and Astrid Hopfensitz (GREMAQ, Université des Sciences Sociales, Toulouse). Both institutions are world renowned research institutions in their discipline and the candidate will have the opportunity to participate and interact with researchers from both fields. Monthly salary will be according to French standards (gross salary 1650 Euros, i.e. 1360 Euros of taxable income (with approximately 10% income tax to be subtracted)). Research language in Toulouse is English however some basic knowledge of French is an advantage.


For further questions please contact:


Andreas Herzig, http://www.irit.fr/~Andreas.Herzig


or Astrid Hopfensitz, http://hopfensitz.googlepages.com

Application Deadline: August 18, 2009


Contact:
Hopfensitz, Astrid
Toulouse School of Economics (GREMAQ)
astrid.hopfensitz[ at ]univ-tlse1.fr

Austria : PhD-position in Logistics/Supply Chain Management

PhD Studentships in Quantitative Methods / Logistics, University of Vienna, Austria


PhD-position in Logistics/Supply Chain Management and Quantitative Methods


The chair of Logistics and Supply Chain Management at the University of Vienna offers a PhD-candidate position in its expanding international research team. The position includes participation in the faculty’s PhD program in Logistics and Operations Management and the opportunity to conduct a research project under the supervision of experienced senior researchers. A four year scholarship, the possibility to spend some time at a foreign research institution, and to present research results at leading international conferences are provided. The position further offers the opportunity to gain teaching experience (all Logistics and Supply Chain courses are taught in English) and to disseminate the research results within projects with industry. Our research areas include supply chain inventory management (especially service parts and retail applications), supply chain coordination (using game theoretic approaches), and strategic network design.

The Department of Business Administration is, according to the latest ranking by Handelsblatt, the #1 research institution in Business Administration in Austria, Germany, and Switzerland. The city of Vienna, according to the latest Mercer survey, offers the highest quality of life worldwide.


If you are interested you should have completed (or be close to completion) of a master degree (Diploma / Magister) in Business Administration, Mathematics, Statistics, Operations Research, Management Information Systems, or Mathematical Economics with excellent records. Please send us your full application, including


  • letter of motivation,
  • resumé,
  • transcript of records,
  • relevant certificates.


to alexandra.ederer@univie.ac.at

Application Deadline: July 13, 2009


Contact:
Minner, Stefan
University of Vienna
stefan.minner@univie.ac.at

Thursday, June 18, 2009

UK:PhD Studentship, Heriot-Watt University, Edinburgh

PhD Studentship in Uncertainty Quantification Project, Heriot-Watt University, Edinburgh, UK

PhD studentship in Uncertainty Quantification project


Subject: PhD studentship at Heriot-Watt University, Edinburgh


Machine learning for uncertainty quantification of reservoir models


Uncertainty of complex natural systems is difficult to describe effectively within traditional parametric modelling approach. Many of relations in natural systems are vague and not transparent to capture and describe analytically. Machine learning provides an alternative way to detect dependencies from uncertain data and propagate them into forecasting models.

Machine learning will enable to integrate oblique data, which are not directly related to the modelling subject but still bear non-parametric relation with the modelled dependencies, into the uncertainty modelling framework. Data-driven statistical learning methods such as Support Vector Machines and Artificial Neural Networks are foreseen to be used to capture and describe dependencies in regression and classification problems, and define informative multidimensional prior models. Machine learning approach fits perfectly to tackle the task to eliciting and modelling prior information in high dimensions from multiple sources with feature selection/extraction techniques. Geomanifold modelling based on a recently emerged theory of semi-supervised learning is capable of integrating different sources of information from high dimensional input space.


The challenge of the project is to link contemporary machine learning algorithms with the state-of-the-art Bayesian framework for uncertainty quantification developed in the group. The work will involve application of advanced machine learning methods and recent achievement in multiple point geostatistics.


The candidate will join a dynamic and diverse team of post-docs and PhDs lead by Prof. Mike Christie. The research carried out by the team addresses aspects of uncertainty quantification including stochastic optimisation methods, geostatistics, machine learning, and employs high-level scientific computation (including a 84 node Linux cluster). The research is funded by a consortium of oil companies, and the skills acquired in while studying for the PhD are likely to be applicable to a wide range of areas, including the oil industry.


Desired skills:
The successful candidate must have a strong background in machine learning and numerical methods as well as advanced computational skills. Knowledge of geosciences modelling, geostatistics and petroleum engineering in particular will be beneficial.


To apply send a CV to Dr V Demyanov, vasily.demyanov@pet.hw.ac.uk


Closing date: 31st July 2009.

FRANCE: Scholarship in Applied Mathematics and Scientific Computing

PhD Scholarship in Applied Mathematics and Scientific Computing, FEMTO-ST, Besançon, FRANCE


Applications are invited for a three year PhD scholarship in the FEMTO-ST Institute (see www.femto-st.fr) at Besançon FRANCE.


This PhD project will form part of a wider project which aims to develop new mathematical tools and a general software dedicated to Arrays of Microsystems. Arrays of Microsystems have been developed and continue their expansion in a number of scientific and technical fields. The research of the project will focus on deriving general multi-scale multi-physical models able to cover large classes of such systems. The multi-scale mathematical methods will be rooted in recently developed techniques by our group or collaborators. Part of mathematical modeling will be done in collaboration with a Laboratory of Mathematics.

The scholarship is valued at about €1.000 net per month for three years. It will be available from 1 October 2009. Application to a room on the campus is possible for low rate. Applicants should have a good undergraduate degree and, preferably, a master’s qualification in Applied Mathematics, Computational Mathematics or Mechanics, or comparable postgraduate work experience.


Closing date for applications: July 15th, 2009.


Please email a CV and letter outlining your areas of research interest, along with names and contact details of two referees who can comment on your academic suitability to Dr Michel Lenczner (michel.lenczner@utbm.fr).


Further information on this project can be obtained by contacting:
Professor Michel Lenczner
FEMTO-ST
26, Chemin de l’épitaphe
25030 Besançon
phone: +33 (0) 81 40 28 27
email: michel.lenczner@utbm.fr