Postdoc in heterogeneous computing for deep learning
Mälardalens Högskola / Sjukgymnastjobb / Västerås
2018-03-23
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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
Publiceringsdatum2018-03-23ErsättningMånadslön.
Så ansöker duSista dag att ansöka är 2018-04-30
Klicka på denna länk för att göra din ansökanKontaktMasoud Daneshtalab, Associate Professor
masoud.daneshtalab@mdh.seSusanne Meijer, Facklig representant (OFR) 021-10 14 89
Michaël Le Duc, Facklig representant SACO 021-10 14 02
FöretagMälardalens högskola
AdressMälardalens högskola
Box 883
72123 Västerås
KontorsadressBox 883
Jobbnummer 4042671
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