PhD student in model-driven engineering focusing on blended mode
Mälardalens Högskola / Högskolejobb / Västerås
Observera att sista ansökningsdag har passerat.
Visa alla högskolejobb i Västerås,
Hallstahammar,
Surahammar,
Eskilstuna,
Enköping eller i
hela Sverige Visa alla jobb hos Mälardalens Högskola i Västerås,
Eskilstuna,
Arboga,
Flen,
Södertälje eller i
hela Sverige At Mälardalen University people meet who want to develop themselves and the future. Our 16 000 students read courses and study programmes in Business, Health, Engineering and Education. We conduct research within all areas of education and have internationally outstanding research in future energy and embedded systems. Our close cooperation with the private and public sectors enables us at MDH to help people feel better and the earth to last longer. Mälardalen University is located on both sides of Lake Mälaren with campuses in Eskilstuna and Västerås.
At the School of Innovation, Design and Engineering our students are studying to be for example innovators, entrepreneurs, illustrators, communications officers, network technicians and engineers. Here we have the research specialisations of Embedded Systems, and Innovation and Product Realisation. Our work takes place in cooperation with and in strategic agreements with companies, organisations and public authorities in the region.
Employment information
Employment: Temporary employment
Scope: Full time/part time
Closing date for application: 24 January 2020
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)
Position description
The ITEA3 BUMBLE project, funded in Sweden by Vinnova and run in cooperation with 20+ academic and industrial partners from 4 countries, is recruiting a PhD student.
BUMBLE aims at providing an innovative system and software development framework based on blended modelling notations/languages (e.g. textual and graphical). The framework is expected to provide automatic generation and management of fully-fledged blended modelling environments from arbitrary domain-specific modelling languages. Blended modelling environments are expected to greatly boost the development of complex multi-domain systems by enabling seamless textual and graphical collaborative modelling.
This PhD-student will focus on a variety of challenges related to blended modelling, including: definition of (meta)models for the description of blended languages, design and implementation of model transformations to ensure seamless synchronization across notations, consistency management and change propagation for collaborative modelling/design.
The student will work with the project team in BUMBLE, which is technically lead by MDH, but is also expected to be able to work independently.
Qualifications
Only those who are or have been admitted to third-cycle courses and study programmes at a higher education may be appointed to doctoral studentships. For futher information see Chapter 5 of the Higher Education Ordinance (SFS 1993:100).
To qualify as a PhD student, you should have a master's level degree in computer science, computer engineering, or equivalent.
Prior knowledge about software/system/data/information modelling is required.
Prior knowledge of modelling environments, such as EMF and MPS, and related tools/languages (e.g., Sirius, Xtext, Xtend, GMF) is considered a distinguished merit.
The position requires a strong motivation for research, good verbal and written communication skills in English. Decisive importance is attached to personal suitability. We value the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organization.
Decisive importance is attached to personal suitability. We value the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organization.
Application
Application is made online. Make your application by clicking the "Apply" button below.
The applicant is responsible for ensuring that the application is complete in accordance with the advertisement and will reach the University no later than closing date for application.
We look forward to receiving your application.
We decline all contact with recruiters and salespersons of advertisements. We have made our strategic choices for this recruitment.
Varaktighet, arbetstid
Heltid/ Ej specificerat
Publiceringsdatum2019-12-18ErsättningMånadslön
Så ansöker duSista dag att ansöka är 2020-01-24
Klicka på denna länk för att göra din ansökanFöretagMälardalens Högskola
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Mälardalens Högskola (org.nr 202100-2916),
http://www.mdh.se Arbetsplats Mälardalens högskola
Jobbnummer 5009044
Observera att sista ansökningsdag har passerat.