PhD Position in Computer Aided Design
Luleå Tekniska Universitet / Maskiningenjörsjobb / Luleå
2009-02-05
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Division of Computer Aided Design, Luleå University of Technology
Subject Area
In Computer Aided Design research is conducted in the field of global simulation-driven product development.
Post-graduate education in Computer Aided Design aims to give the student a broad knowledge of the subject combined with cutting-edge competence in an area of special interest. Examples of such areas are product development methodology, simulation-driven product development modelling, simulation of manufacturing processes and dynamical systems. Furthermore, the area of distributed collaborative engineering is also of great importance in the research of Computer Aided Design.
Applications are principally related to the development of new products, services and methods where the projects are conducted together with industrial companies.
Research Environment
The research will be conducted at the division of Computer Aided Design and partly in the context of the Faste Laboratory, a VINNOVA Excellence Centre at Luleå University of Technology (LTU). Our research environment is characterised by an open climate where national and international partners from industry collaborate. We are continuously improving our working environment to be attractive for female, male, Swedish and international researchers. We are convinced that an environment where all employees are active on equal conditions will lead to better results. To that end, our research environment has recently been redesigned and rebuilt to new specifications and it is now inviting, airy and full of light where opportunities for collaboration are improved.
Below, the division of Computer Aided Design presents one new research projects and invites interested to submit applications for PhD positions.
This project are conducted within the VINNOVA Excellence Centre the Faste Laboratory at LTU.
High Reliability of Products, Ref.no. 344-09
The purpose of this research project is to develop methods and tools that convert test data into usable knowledge in product development. In addition, implementation of diagnostic tools and tools that predict future status of the product is of interest. Important issues of the project are development of methods for engineering data collection, storage and visualization and the optimisation of test data into usable knowledge in product development. The industrial interest is, based on the research, improving employees' ability to collect data, interpret and create information. The information can thereby be converted into usable knowledge faster and more efficiently than before, thus improving the industrial product development.
Qualifications
The PhD candidate should have 240 credits of which 60 credits on an advanced level within Mechanical engineering, Applied physics, Civil engineering or equivalent. The candidates should also be good in written and oral communication in Swedish or in English. Knowledge of the Swedish language can also be of importance since part of the work will be carried out in close co-operation with industry.
For further information go to Universitys homepage by the following link:
http://www.ltu.se/omltu/ledigajobb/d21832/d21835/1.45074Publiceringsdatum2009-02-05Arbetstider och omfattningVisstidsanställning 6 månader eller längre
Heltid
tidbegränsad
ErsättningFast lön
Så ansöker duSista dag att ansöka är 2009-02-25
Applications, marked with correct reference no. together with CV, copies of degree certificates and other documents that the applicant wants to refer to, is to be sent toLuleå University of Technology, Registrator, SE-971 87 Luleå, Sweden, or by e-mail to:
registrator@ltu.seLast day of application February 25, 2009
Ange följande referens när du ansöker: 344-09
Ansökan kan skickas till e-postadress:
registrator@ltu.seKontaktProf. Lennart Karlsson, Luleå University of Technology, tel: +46920491279 or +46705903242,
lennart.karlsson@ltu.se.
FöretagLuleå Tekniska Universitet
AdressLuleå Tekniska Universitet
97187 LULEÅ
KontaktuppgifterTelefonnummer: 0920-491000
Faxnummer: 0920-491399
Jobbnummer 396200
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