Ref 2023/2618

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 17 000 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 information

Employment: Temporary employment
Scope: Full time
Closing date for application: 2023-12-25
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT), Division of Intelligent Future Technologies

Position description

We offer a PhD student position in energy-efficient deep learning (DL). The Phd position will focus on developing algorithms that enable designing energy-efficient DL models with low energy footprint and facilitate fast deployment of complicated DL models for a diverse set of edge devices satisfying given hardware constraints.

The student will be hosted by the HERO group (https://www.es.mdh.se/hero/) and will work closely with PhD students, senior researchers, and industrial partners in the group.

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).

– Master of Science in Computer Science, Computer and electrical engineering or equivalent.

– Fluent in English, both written and spoken.

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

– Background in theoretical foundations of deep learning is important

 – Having experience in heterogeneous architectures, in particular FPGA is of high merit.

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.

Union representatives:

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

Contact person

Masoud Daneshtalab

Professor

masoud.daneshtalab@mdu.se

Apply

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