PhD position Self-Adaptive Parallel Computing Systems
Linnéuniversitetet / Högskolejobb / Växjö
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hela Sverige Department of Computer Science, Faculty of Technology - Växjö Campus
Research Environment
The Department of Computer Science carries out research in three main subjects: Program Analysis and Information Quality, Software and Information Visualization, and Software Architecture and Self-Adaptive Systems. Currently, 30 staff members work at the Department, running various national and European projects that focus on both fundamental and applied research. The Department has a strong connection with the environment and in this capacity leads the Information Engineering Center (lnu.se/IEC) that provides an IT cluster and meeting place for research, industry and public actors.
Linnaeus University has adopted a strategy for achieving equal conditions for all its employees and students within the university's fields of activity, which means e.g. a uniform gender distribution within the professorial staff.
Description of the position
The research project will be carried out in the group of Software Architecture and Self-Adaptive Systems under supervision of Sabri Pllana. The goal of the research is to study and develop a novel holistic approach for self-adaptive parallel computing systems that will address the self-adaptiveness at software and system architecture level. The research will be empirically validated for a heterogeneous parallel computing system.
In addition to the research, the position includes up to 20% teaching support at the Computer Science Department.
General entry requirements
A person meets the general entry requirements for third-cycle courses and study programmes if he or she:
• has been awarded a second-cycle qualification- has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second-cycle, or
• has acquired substantially equivalent knowledge in some other way in Sweden or abroad.
The higher education institution may permit an exemption from the general entry requirements for an individual applicant, if there are special grounds. Ordinance (2010:1064).
Assessment criteria/Qualifications
Candidates should have Master degree or equivalent in Computer Science or in a closely related subject. The successful candidate has excellent analytical skills, is a committed researcher with a drive for excellence. Very good skills to express her- or himself scientifically in written and spoken English are a prerequisite. Prior research experience or the ability to readily get knowledgeable in one or more of the following topics is a significant plus: self-adaptive systems, parallel computing, machine learning.
The higher education institution may permit an exemption from the general entry requirements for an individual applicant, if there are special grounds. Ordinance (2010:1064).
Terms of employment
The vacancy is a fully funded full-time appointment with the objective to obtain a PhD.
Information
Questions regarding the research area and the profile in particular should be directed to Sabri Pllana, +46 (0)470 76 74 29,
sabri.pllana@lnu.seHead of the Department, Jesper Andersson +46 (0)470 708460,
jesper.andersson@lnu.seUnion representatives can be accessed via the university switchboard, +46 (0)772 288000. Matters of employment will be answered by staff consultant Carina Axelsson,
carina.axelssont@lnu.seYour application (in English) must be registered no later than January 31, 2014. Ref.no is: PA 2013/568-2.2.1. More information can be found on the Linnaeus University homepage, under the heading Jobs and Vacancies, where you apply. The following appendices are mandatory with the application via the website: motivation letter (in which you motivate why you are an excellent candidate for the position), CV, degree certificates, and copies of up to three prior publications. The candidate should also organize at least two letters of recommendation (with the authors' telephone number and e-mail) to be sent directly to Sabri Pllana.
Publiceringsdatum2013-12-03Arbetstider och omfattningDag , Heltid , Tidsbegränsad anställning
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AdressLinnéuniversitetet
Box 451
35106 Växjö
Jobbnummer 1718640
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