PhD student in Computer Science

Mälardalen University is growing and evolving due to increased research funding from the Swedish Government. Join our team on this exciting journey towards MDU`s vision, to be a progressive and collaborative University where together we shape a sustainable future. You can make a difference. Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new perspectives are best attained and reached together in collaboration with others – our colleagues, students, the private and public sectors, both nationally and internationally.
Around 20 000 students are currently studying courses and programmes with us in the various domains. We offer education in areas such as design and communication, economics, health, engineering and technology, preschool and compulsory school teacher training as well as in chamber music and opera. In most of our areas we also offer programmes entirely taught in English. We conduct research in all disciplinary domains and our research in Future Energy and Embedded Systems is internationally prominent.
Mälardalen University is located in Sweden, on both sides of Lake Mälaren, with campuses in Eskilstuna and Västerås. Mälardalen is a region dominated by strong growth with several multinational companies based here such as ABB, Volvo, Westinghouse, Alstom and Northvolt. We enjoy close cooperation with the region’s private sector, municipalities, and county councils.

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: Temporary employment
Scope: Full time
Closing date for application: 2022-08-31
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)

The Ph.D. student will work on developing, adapting, applying and verifying machine learning techniques to improve performance and schedulability of complex industrial applications executed on multicore devices.

The activities run in cooperation with two large companies, Hitachi Energy Sweden AB and Ericsson AB, partners in the project PerFlex - Performant and Flexible digital Systems through Verifiable AI, funded by the Swedish Knowledge Foundation.

The work will be hosted by the Model-Based Engineering of Embedded Systems group, in cooperation with the Formal Modelling and Analysis of Embedded Systems and Learning and Optimisation groups, presuming close interactions with other PhD students, senior researchers, and industrial partners in the groups.

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).

The applicant is required to have a master's degree in a relevant engineering area: computer science, mathematics, or computer engineering.

The ideal applicant should have knowledge and ability in algorithm construction and programming and have at least incipient notions on (formal) modelling and simulation, and machine learning techniques.

A provable capacity to learn and adapt to new technical contexts is necessary, along with a good understanding of the development process. The position requires motivation for research, good oral and written communication, knowledge in English and a will to work in a multidisciplinary context and in collaboration with external partners

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.

Additional knowledge of AI/ML techniques and their combination with formal methods for system verification is considered a merit.

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.

Union representatives:

Michaël Le Duc (SACO), tel: +46 (0) 21-10 14 02
Susanne Meijer (OFR), Tel: +46 (0) 21-10 14 89

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