At Mälardalen University people meet who want to develop themselves and the future. We have 19 900 students reading courses and study programmes in Business and Economics, Health, Engineering and Education at our campuses in Eskilstuna and Västerås, or by distance. We conduct research within all fields of education and have internationally prominent research in Future Energy and Embedded Systems. Our close collaboration with the private and public sectors enable us at MDH to contribute towards the better health of people and towards a more sustainable planet. To strengthen Sweden as an education and research country, the Government is to upgrade Mälardalen University College to Mälardalen University from 1 January 2022.

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
Closing date for application: 2021-04-30
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)

The research environment Embedded Systems (ES) at Mälardalen University (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

Position description

The VINNOVA-funded project “INTERCONNECT: Integrated Time Sensitive Networking and Legacy Communications in Predictable Vehicle-platforms” is announcing a PhD position in modeling and development of distributed embedded systems utilizing heterogeneous real-time networks.

The functionality advancements, innovation and novel features in modern vehicles require numerous high data- rate onboard sensors, e.g., cameras, radars, and lidars. These sensors generate hundreds of megabytes of data per second that needs to be communicated among the onboard computing units with predictable low latencies (microseconds to milliseconds range). These requirements become even more compelling for the next- generation autonomous vehicles in e.g., an autonomous quarry, recycling site, or a mine. The legacy onboard communications, based on field buses and primitive Ethernet solutions, are a bottleneck in meeting the high- bandwidth and low-latency onboard communication requirements. An attractive solution to address these requirements has recently emerged in the form of the IEEE Time-Sensitive Networking (TSN) standards that introduce novel features to the Switched Ethernet. TSN provides a high-speed and low-latency backbone onboard network that can connect to legacy communication devices and subsystems. The challenge is how to fully utilize the potential of ground-breaking technologies like TSN while reusing the low-cost legacy onboard communication devices and subsystems. This project embraces the novel possibility of seamlessly integrating TSN and low-cost legacy onboard communications to create an attractive solution for next-generation vehicles.

The overall goal of INTERCONNECT is to develop novel techniques, frameworks, industrial tool prototypes and demonstrators for holistic model-based development of vehicular software functions on predictable vehicle- platforms that use seamlessly integrated TSN and legacy onboard communications. In this context, the PhD-student will focus on the challenges related to holistic modelling of software architectures, holistic timing predictability verification, and integration of network communication in vehicular systems that utilise seamlessly integrated TSN and legacy onboard networks. The student will work closely with the project team of about 15 members, including researchers from Mälardalen University and practitioners from the industry. The student is also expected 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, electrical engineering, or equivalent.

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.

Merit

Prior knowledge about embedded systems, real-time systems, real-time networks, and modeling and timing analysis of these systems is considered a merit.

Additional knowledge in applied mathematics, model-based software development, development of switched Ethernet-based systems, modelling and timing analysis of real-time networks (e.g., TSN and CAN) is also considered as merit.

Application

Application is made online. Make your application by clicking the "Apply" button below. Please note that your application should be in English.

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.

Contact person

Saad Munbeen

Associate Prof

saad.mubeen@mdh.se

Mohammad Ashjaei

Assistant Prof.

mohammad.ashjaei@mdh.se

Michaël Le Duc

Union representative SACO

+46 (0) 21 10 14 02

Susanne Meijer

Union representative (OFR)

+46 (0) 21 10 14 89

URL to this page

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