PhD student in Computer Science
Mälardalens Högskola / Administratörsjobb (offentlig verksamhet) / Västerås
2019-02-04
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hela Sverige At Mälardalen University people meet who want to develop themselves and the future. Our 15 000 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.
The research environment Embedded Systems (ES) at MDH announces a PhD-student position in Computer Science. ES is the nationally leading center in embedded-systems research and internationally known for the ability to combine the highest academic standard with industrially relevant research. ES provides a stimulating international research environment, characterized by its cooperative atmosphere, openness, and team spirit - a great environment for a researcher to grow in; with a mix of established and young researchers. The environment contains over 200 researchers.
Employment information
Employment: Temporary employment
Scope: Full time
Closing date for application: 2019-02-28
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)
Position description
The MobiFog VR starting grant project together with the SSF project on Future factories in the Cloud (FiC) is announcing a PhD position in Mobility Management in Fog-assisted IoT Networks.
Internet-of-Things (IoT) applications based on the "wireless sensor networks" paradigm have been mostly building on static nodes. However, many emerging and future IoT applications are likely to impose (or at least benefit from) the support of mobile nodes.
Some IoT-oriented protocols may eventually support mobile nodes, but most of the times at very high costs, e.g. extra mobility management overheads, higher end-to-end transmission delays and lower packet delivery rates. The well-know shrinked version of the IPv6 protocol for IoT - 6loWPAN - is a good example of a protocol that simply "reacts" to joining/leaving of nodes, not responding satisfactorily to actual mobility of nodes. Additionally, traditional mobility management protocols neglect constrained networks with limitations in channel bandwidth, packet size, sleep mode and unreliable links.
This PhD research will focus on designing novel mobility management protocols for IoT networks through enhancing the IoT architecture (e.g. TSCH and RPL), enriched by the Fog Computing concept. The envisaged mobility management architecture will require designing novel hand-off algorithms for smooth transition of mobile nodes, SDN (software defined networking) controllers, and dynamic and real-time message scheduling. The project will involve the design, implementation and validation of extensive probabilistic analysis and optimization algorithms, supported by, simulation, emulation and real-world experiments.
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).
This work is to be conducted in a collaborative and energetic research group with strong track records in wireless communication systems. It is expected that the candidate performs research in the given area through a combination of experimentation, simulations and/or analytical modeling. Knowledge or experience in areas such as wireless communication, and sensor networks, mobility management, Fog computing, performance measurements, modeling, and evaluation is therefore desirable.
Excellent programming skills (e.g. C, C++, Java and Python), good knowledge in networking software (e.g., TCP/IP protocol stack, SDN, NFV, OpenStack, Docker), networking tools/simulators (e.g. OMNeT++, Contiki, and TinyOS) as well as good oral and written communication skills in English are required. The candidate should be able to work independently, as well as in a team; and be enthusiastic about pushing the state-of-the-art. Collaboration with academic and industry partners through national/international research projects is expected.
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
Publiceringsdatum2019-02-04ErsättningMånadslön
Så ansöker duSista dag att ansöka är 2019-02-28
Klicka på denna länk för att göra din ansökanKontaktHossein Fotouhi, Forskarassistent
hossein.fotouhi@mdh.se +46 739607327
Susanne Meijer, Facklig representant (OFR) 021-10 14 89
Michaël Le Duc, Facklig representant SACO 021-10 14 02
FöretagMälardalens högskola
AdressMälardalens högskola
Box 803
72123 Västerås
KontorsadressBox 803
Jobbnummer 4590557
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