Postdoc in heterogeneous computing for deep learning

Mälardalens Högskola / Sjukgymnastjobb / Västerås
2018-03-23
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➡️ Klicka här för den senare publicerade platsannonsen "Postdoc in heterogeneous computing for deep learning" (publicerad 2018-05-24) ⬅️


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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.

Employment information
Employment: Temporary employment
Scope: Full time
Closing date for application: 2018-04-30
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)

Project description

Position description
Mälardalen University is looking for a postdoc in the field of heterogeneous computing for deep learning in automation and robotics. The position will be within the research project "DeepMaker - Deep Learning Accelerator on Commercial Programmable Devices". DeepMaker aims to provide a framework which generates synthesizable accelerators of Deep Neural Networks (DNNs) that can be used for different FPGA fabrics. DeepMaker enables optimization and effective use of DNN acceleration in commercially available devices that can accelerate a wide range of applications without the need for costly FPGA recon?gurations. This will be accomplished through close collaboration and interaction between two research groups at MDH and 3 participating industrial companies. DeepMaker is hosted at MDH in the Embedded Systems (ES) research environment. ES is an internationally leading environment in embedded-systems research and host 14 research groups with over 100 researchers, focusing of various aspects of development of embedded systems.

As a postdoc, you will spend a minimum of 80% of your time on research. The rest will be spent on educational and/or administrative duties. The temporary employment is valid for 1 year with possible extension to additional year.

Qualifications requirements
The applicant is required to have a PhD degree in relevant fields.

A successful applicant should have demonstrated practical skills of formulating and developing partitioned problems on heterogeneous architectures (like UltraScale or Zynq).

Good knowledge in VHDL, Verilog, or SystemC is required.

Applicants need to be highly motivated and 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 organisation.

Merit
Documented experience with neural network and multi-objective optimization is of high merit.

Application
Application is made online. Make your application by clicking the "Apply" button below.

The scientific publications that you do not have in digital form are to be sent by post in three copies to:

Mälardalen University
Division of Human Resources
Ref.no: 2018/0860
Box 883
721 23 Västerås

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

Publiceringsdatum
2018-03-23

Ersättning
Månadslön.

Så ansöker du
Sista dag att ansöka är 2018-04-30
Klicka på denna länk för att göra din ansökan

Kontakt
Masoud Daneshtalab, Associate Professor masoud.daneshtalab@mdh.se
Susanne Meijer, Facklig representant (OFR) 021-10 14 89
Michaël Le Duc, Facklig representant SACO 021-10 14 02

Företag
Mälardalens högskola

Adress
Mälardalens högskola
Box 883
72123 Västerås

Kontorsadress
Box 883

Jobbnummer
4042671

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