Tag-arkiv: Mälardalen University

Postdoc in heterogeneous computing for deep learning

Ref 2018/0860

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: 2018-08-31
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 reconfigurations. 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 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.

Contact person

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

Apply

Post expires on Friday August 31st, 2018

PhD student in Computer Science – Analysis and synthesis of heterogeneous embedded systems

Ref 2018/1675

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: 2018-08-18
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)

The research environment Embedded Systems at Mälardalen University (MDH) announce a PhD-student position in Computer Science. Embedded Systems is the nationally leading center in embedded-system 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 KKS-funded synergy-project HERO is announcing a PhD-position in analysis and synthesis of heterogeneous embedded systems.

The need for high-performance computing is increasing at a daunting pace and computational heterogeneity is the answer. High-performance computing platforms are increasingly becoming heterogeneous, meaning that they contain a combination of different computational units such as CPUs, GPUs, FPGAs, and AI accelerators.

The overall goal of HERO is to provide a framework that enables development of optimized parallel software, automatic mapping of software to heterogeneous hardware platforms, and provision of automatic hardware acceleration for the developed software. This PhD-student will focus on analysis and synthesis issues in development of such software. The position is in the intersection of compiler and software-hardware co-design.

The student will work closely with the project team of about ten researchers in HERO but is also expected to be able 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. Prior knowledge about compiler, software-hardware co-design, high-level synthesis, and hardware design is considered a merit. Additional knowledge in applied mathematics, open source software, software modelling, artificial intelligent is also considered as merit.

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.

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.

Contact person

Masoud Daneshtalab

Assoc. Prof.

www.idt.mdh.se/~md/

masoud.daneshtalab@mdh.se

Björn Lisper

Professor

bjorn.lisper@mdh.se

Michaël Le Duc

Facklig representant SACO

021-10 14 02

Susanne Meijer

Facklig representant OFR

021-10 14 89

Apply

Post expires on Saturday August 18th, 2018