The University of Stavanger invites applications for a three-year (ev four-year) doctorate scholarship in Information Technology at the Faculty of Science and Technology in the Department of Electrical and Computer Engineering, beginning August 1, 2009.
There are three positions available, and each position should be tied to one of the following projects:
1) Identification of perfect adaptation sites in biochemical reaction kinetic networks from a control theoretic point of view. The applicant should have a masters degree in cybernetics. Contact: Associate professor Tormod Drengstig, tlf 51832025, mobile +4793885533, e-mail: tormod.drengstig@uis.no.
2) Model based software development. Model integration. The applicant should have a masters degree in computer science. Contact: Associate professor Kåre Auglænd, tlf 51832020, e-mail: kare.auglaend@uis.no.
3) Measuring stress under simulation. The applicant should have a masters degree in signal processing. Contact: Associate professor Arne Rettedal, tlf 51832041, e-mail: arne.rettedal@uis.no.
4) Developing signal processing methods to identify gene regulatory networks from microarray time series. The applicant should have a masters degree in signal processing. Contact: Professor Sven Ole Aase, tlf 51832009, e-mail: sven.o.aase@uis.no.
5) Agents & data fusion algorithms for improved analysis of real-time drilling data. The applicant should have a masters degree in computer science. Contact: Professor Chunming Rong, tlf 51832013, e-mail: chunming.rong@uis.no.
6) Using automated concepts for improving software quality. The applicant should have a masters degree in computer science. Contact: Professor Chunming Rong, tlf 51832013, e-mail: chunming.rong@uis.no.
7) Dependability Mechanisms for Scalable Wide-Area Data Dissemination in Pub/Sub Systems. The applicant should have a masters degree in computer science. Contact: Associate professor Hein Meling, tlf 51832080, e-mail: hein.meling@uis.no.
8) Using Workflow Management Systems for Eliminating Redundancy in Virtual Enterprising. The applicant should have a masters degree in computer science, applied mathematics, industrial engineering, or in control systems. Contact: Associate professor Reggie Davidrajuh, tlf 51831051, e-mail: reggie.davidrajuh@uis.no
9) Signal analysis of physiological data from treatment of cardiac arrest patients. The applicant should have a masters degree in signal processing. Contact: Professor Trygve Eftestøl, tlf 51832035, e-mail: trygve.eftestol@uis.no.
10) Semantic technology for management of data recorded during therapy of cardiac arrest patients. The applicant should have a masters degree in signal processing. Contact: Professor Trygve Eftestøl, tlf 51832035, e-mail: trygve.eftestol@uis.no.
11) Image processing for analysis of magnetic resonance images of cardiac infarction. The applicant should have a masters degree in signal processing. Contact: Professor Kjersti Engan, tlf 51832008, e-mail: kjersti.engan@uis.no.
12) Image processing on magnetic resonance images of cardiac infarction for 2D and 3D segmentation of the myocardium and the damaged tissue. The applicant should have a masters degree in signal processing. Contact: Professor Kjersti Engan, tlf 51832008, e-mail: kjersti.engan@uis.no.
13) Signal analysis of intracardial electrograms from patients with cardiac infarction. The applicant should have a masters degree in signal processing. Contact: Professor Kjersti Engan, tlf 51832008, e-mail: kjersti.engan@uis.no.
The position is funded by Ministry of Education and Research.
The applicant should give a list of up to three projects in order of interest. It is necessary to have obtained an average grade of B or better in order to qualify. The appointee must be able to work independently and as a member of a team, be creative and innovative. The research fellow must have a good command of both oral and written English.
The research fellow will be admitted to the doctoral program at the University of Stavanger on an agreement to complete the doctorate within the duration of the scholarship.
The program will mainly be carried out at the University of Stavanger, apart from a period of study abroad at a recognized and relevant center of research.
The research fellow is salaried according to the State Salary Code, l.pl 17.515, code 1017, LR 20, ltr 45, of NOK 353.200,- per annum.
The position provides for automatic membership in the Norwegian Public Service Pension Fund, which guarantees favorable retirement benefits. Members may also apply for home investment loans at favorable interest rates.
The University is committed to a policy of equal opportunity in its employment practices. The University currently employs few female research fellows within this academic field and women are therefore particularly encouraged to apply.
The application must contain the following documents and material and be submitted in three complete verified copies:
CV
the form "Utvidet søkerskjema" (Information to be made available to the applicants)
certificates/diplomas
references
list of publications
up to 15 publications
any other documentation that the applicant considers relevant
and be addressed to:
University of Stavanger
Faculty of Science and Technology.
4036 Stavanger
The application should be marked st.id. 30029796
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