The project novelty lies in the creation of a digital twin (a dynamic software model of a system that is continuously updated with real-time system operating data and feeds real-time optimisations back to the system) that provides availability prediction and maintenance optimisation for a complete multi-asset production system.
The research will involve the development of a digital twin model of an engineering system from the mining industry, working in collaboration with national and international researchers. The candidate should be from an engineering or computer science background and have experience in building discrete event simulation (DES) models of complex systems. Experience with DES frameworks such as DESMO-J (preferred), SimPy, or commercial DES tools such as FlexSim, WITNESS, Simul8 or Arena is highly sought after. They should be competent in software programming, ideally in an object-orientated language such as C++, C#, Java or Python. Experience in reliability and maintainability modelling is desirable. A high level of proficiency in the English language is required and a working proficiency in the Swedish language is desired.
Online informationInformation on admission to the programme, application form, the general syllabus for the subject, the Regulations Handbook, and other information can be found on Örebro University’s webpage for research student information: www.oru.se. You can find information about ”How to apply for admission to doctoral studies” below.
For more information on the programme and the post, please contact Professor Magnus Löfstrand, e-mail: Magnus.Lofstrand@oru.se, telephone: +46 19 303283.
Örebro University actively pursues an equal work environment and values the qualities that diversity adds to our operations.
The programmeThe successful candidate is offered a place on the research study programme concluding with the Degree of Licentiate. The programme comprises 120 credits, which corresponds to two years of full-time study. The programme can be prolonged to a doctoral degree (240 credits) providing that necessary funding is granted. Extensions to the study period are granted for instance to compensate for any sick leave and parental leave.
Information on programme content and organisation can be found in the general syllabus for the subject.
Please visit www.oru.se/ledigajobb to see the full ad.
The application deadline is 2019-06-30. We look forward to receiving your application!
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