A Number of PhD Stipends at the Department of Computer Science (16-11070)
Position No.
16-11070
At the Faculty of Engineering and Science, a number of fully funded PhD positions are available at the Center for Data-intensive Systems (Daisy), Department of Computer Science, Aalborg University (AAU), Denmark, within the general study programme Computer Science and Engineering.
The positions are available from October 1, 2011, or as soon as possible thereafter.
Job description
Applicantions are invited on the following research topics:
A) Data cleansing for indoor moving objects: This research aims at reducing errors that are inherent in RFID-type indoor positioning data. Errors come from different sources including hardware limits and device deployment in a complicated indoor environment like airports. Data errors should be minimized before any meaningful query/analysis can be made subsequently.
B) Continuous querying on indoor moving objects: Massive amounts of indoor positioning RFID data are streaming into many online applications. It's very important that effective and efficient continuous queries are set up for monitoring purpose, e.g., to keep track of indoor moving objects. This research takes into account location uncertainty and indoor topologies when processing continous queries on indoor moving objects.
C) Analytics on indoor moving objects: This topic focuses on conducting analytical and data mining tasks on historical RFID-type indoor positioning data. Interesting phenomena and patterns relevant to indoor/outdoor movements are to be found from huge amounts of data. Due to the uncertainty of data and the complexity of the movement topologies, new analytics and mining techniques must be invented.
D) Seamless integrated querying of historical and forecasted data: This research will develop technology that allows seamless and efficient integrated querying of historical data (stored in regular tables) and forecasted data (generated on demand from pre-built forecasting models). Focus will be on analytical OLAP-style queries. The technology will be based on extensible DBMSes (PostgreSQL). The project will involve development and implementation of query planning, query optimization, and query execution strategies.
Topic A-C is related to research projects on airport baggage data management which intend to improve baggage handling in the global aviation industry; specifically, to reduce the mishandling of baggage in/throughout airports at the global scale.
Topic D is related to the MIRABEL EU FP7 project http://www.mirabel-project.eu/ which develops data management technologies that help accomodate larger fractions of renewable energy into the energy production.
Applicants must have a master degree in computer science or a closely related field, with very good grades. They are expected to have good knowledge of databases (preferably spatio-temporal databases), data warehousing, and/or data mining, as well as strong implementation skills. Good communication skills in English, oral as well as written, are essential.
More information about Daisy can be found at http://daisy.aau.dk/.
For further information about the technical aspects, please contact:
Associate Professor Hua Lu (luhua AT cs DOT aau DOT dk) (topics A+B) or Professor Torben Bach Pedersen (tbp AT cs DOT aau DOT dk) (topics C+D)
Please follow the online application procedure (link given below) carefully, applications via email are not considered.
Applicants must submit the following material through the online application system:
1) Full CV.
2) Diplomas and grade transcripts for both bachelor and master studies.
3) A 2-3 page proposal for the PhD study plan, aimed specifically at one of the topics A-D. The proposal should have the following sections: Background and Motivation, Proposed Research, Expected Results, Time Schedule, and References.
The proposal should also mention which of the other 3 topics the applicant is interested in, if any.
4) Documentation of English proficiency, i.e., scores for TOEFL or similar tests.
5) Other material, e.g., copies of a few relevant publications (if applicable).
General info regarding PhD studies at AAU
The salary depends on seniority but ranges (as of April 1, 2010) from DKK 300,000 - 362,000 annually excluding pension.
PhD stipends are allocated to individuals who hold a Masters degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of the Faculty of Engineering and Science, in accordance with the regulations of Ministerial Order No. 18 of January 14, 2008 on the PhD Programme at the Universities. According to the Ministerial Order, the progress of the PhD student shall be assessed every six months. It is a prerequisite for continuation of salary payment that the previous progress is approved at the time of the evaluation.
The qualifications of the applicant will be assessed by an assessment committee. On the basis of the recommendation of the assessment committee, the Dean of the Faculty of Engineering and Science will make a decision for allocating the stipend.
For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Annette Høj Marquart, The Faculty of Engineering and Science, email: ahm@adm.aau.dk, phone: +45 99 40 75 82. The faculty have a research school, The Doctoral School of Engineering and Science: www.phd.ins.aau.dk and a Network for all PhD students: www.pau.aau.dk
The application is only to be submitted online by using the "Apply online" button below.
Agreement
Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of October 1, 2008 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the Ministry of Finance Circular of June 13, 2007 on the employment structure at Danish Universities.
Deadline
01/09/2011
Apply online: https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/ApplicationForm.cfm?CFID=15081198&CFTOKEN=1c489df9b3cb5dba-946D9F21-F3E7-A320-4BEED52C754494D5&jsessionid=1a30de3eddd8dff4cf36112a4a186a435113TR&PortalID=1967&VacatureID=166919
Aalborg University (AAU) conducts teaching and research to the highest level in the fields of humanities, engineering, and natural, health, and social sciences.
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Dr. Muhammad Ahtisham Aslam
Assistant Professor
Department of Information Systems
Faculty of Computing and Informatin Technology
King Abdul Aziz University
Jeddah, Saudi Arabia
Phone: 00966-563-321977
http://bis.informatik.uni-leipzig.de/AslamMuhammadAhtisham
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