PhD position in heterogeneous computing for artificial intelligence

Ref number: 2017/0607
Employment: Temporary employment
Closing date for application: 2017-03-31
Campus location: Västerås

School of Innovation, Design and Engineering (IDT)

MDH in Eskilstuna and Västerås is one of Sweden’s biggest university colleges with its 15 000 students and 900 employees. It has a long tradition of cooperating with society and has entered strategic agreements with both the public and the private sector. Most study programmes fall into four main areas: economy, health and welfare, education, and technology. With its research, which often takes the form of co-production on the regional, national and global levels, MDH aims to generate useful solutions for societal development. In 1999, MDH was the world’s first university to be environmentally certified, and in 2006, it was the first higher education institution in Sweden to be certified for its work environment.

Position description  

We are offering a PhD student position in heterogeneous computing for artificial intelligence, within the DPAC project.

Designing heterogeneous system with hardware accelerators is a promising solution for mission critical applications (e.g. autonomous driving vehicles, data processing on satellites and industrial applications) where conventional rule-based algorithms are inefficient in terms of performance, energy, and reliability. The aim is to develop a systematic approach to optimize the heterogeneous system with programmable accelerators (GPU and FPGA) using neural networks.

As a PhD student, you will spend a minimum of 80% of your time on research studies. The rest will be spent on educational and/or administrative duties. 

Qualifications

A successful applicant should have demonstrated practical skills of formulating and developing partitioned problems on heterogeneous architectures, i.e. harness the parallelism of multi-core processors, (GP) GPUs, and FPGAs.

Required qualifications:

·         Master of Science in Computer Science or equivalent

·         Fluent in English, both written and in conversation.

Beneficial qualifications:

  • OpenCL/openMP
  • Background in computer architecture, VLSI, and artificial intelligence
  • Heterogeneous System Architecture, e.g. Zynq, HSA, Nvidia PTX
  • A strong publication record and demonstrated ability to conduct collaborative cross disciplinary research.

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).

Information

Information can be provided by Mikael Sjödin (mikael.sjodin@mdh.se) and Masoud Daneshtalab (masoud.daneshtalab@mdh.se) 

The union representatives are Susanne Meijer, (OFR), +46 (0) 21 10 14 89 and Michaël Le Duc, (SACO), +46 (0) 21-10 14 02.

We decline all contact with recruiters and salespersons of advertisements. We have made our strategic choices for this recruitment.

Application

An application prepared in English should contain:

  • Full curriculum vitae
  • Publication record if any (pinpoint the most important papers and describe your contributions)
  • Motivation letter describing your experience and professional interests
  • Degree certificates and transcripts from university and graduate studies

To apply, please send your application by e-mail to the address ansokan@mdh.se. Application sent electronically should be in Word or PDF format.

You can also send your application to the following address:

Mälardalens högskola (Mälardalen University)
Personalsektionen (Division of Human Resources)
Jan Romedahl
Box 883
721 23 Västerås

Please state the reference number 2017/0607 in your application.

The applicant is responsible for ensuring that the application is complete in accordance with the advertisement and will reach the University no later than 2017-03-31

We look forward to receiving your application.