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Vacature Eindhoven University of Technology (TU/e) - PhD in Mathematical Aspects of Number Representation in Embedded MRI Software

Specificaties - (uitleg)

FunctietypesPhD positions
Wetenschappelijke disciplineEngineering
Uren 38,0 uren per week
Werk-/denkniveauUniversity Graduate
Vacaturenummer V32.3739
Vertalingen
About employer Eindhoven University of Technology (TU/e)
Short link www.academictransfer.com/52766

Solliciteer binnen 81 dagen op deze vacature

Functiebeschrijving

Mathematical Aspects of Number Representation in Embedded MRI Software

A four-year PhD position is available at Eindhoven University of Technology (TU/e), starting date: April 1 or May 1, 2019. Research concerns analysis, improvement, and automation of the conversion of floating-point computing software into fixed-point embedded-system software, at prescribed precision.

In this position research and innovation activities will be performed in the context of the three-year ECSEL 2018 project Arrowhead Tools. ECSEL is an industry-driven program for the Electronic Components and Systems in Europe, partly funded by the European Community and partly by national authorities.


Project description

Goal:

Computing processors embedded in Magnetic Resonance Imaging (MRI) systems through field-programmable gate arrays need to be energy efficient and hence computationally efficient. For this purpose, they are coded in Very High-Integrated Circuits Description Language (VHDL), with fixed-point number representation at relatively low precision. The VHDL codes are derived from models coded in high-precision floating-point number representation. The necessary conversion of these floating-point codes into fixed-point VHDL codes is a source of performance degradation of the algorithms involved.

Currently, converting floating-point computing software into fixed-point computing software is an empirical process, which consumes much costly development time and may easily lead to non-optimal implementations. The goal of the planned research is: to analyze, improve and automate the conversion of floating-point computing software into fixed-point embedded-system software, at prescribed precision. Direct contacts exist with dr.ir. Mark van Helvoort, manager of the Philips Public-Private Partnership Program Magnetic Resonance Imaging.


Planned research:

The accuracy of the conversion of the floating-point software into fixed-point software will be assessed through numerical analysis. This accuracy analysis of algorithms is expected to be of both scientific and engineering interest. The outcomes of the analysis will enable improvement of the accuracy and efficiency of scientific computing tools embedded in MRI systems, through techniques such as variable arithmetic algebra and interval arithmetic.

You will be a member of the group Scientific Computing within the Centre for Analysis, Scientific Computing and Applications of the Department of Mathematics and Computer Science at TU/e. Your advisors will be:
  • dr.ir. Martijn Anthonissen
  • dr. Michiel Hochstenbach
  • prof.dr.ir. Barry Koren

  • Keywords: finite precision arithmetic, variable precision arithmetic, precise computing, efficient computations, interval arithmetic, numerical analysis, numerical algebra, floating-point numbers, fixed-point numbers, automated computing, MRI systems.

    Main tasks:
  • Carrying out innovative mathematics research, developing new methods and algorithms, writing scientific journal articles, giving presentations at conferences, writing PhD thesis;
  • Implementing and testing methods in computer programs, e.g. in Matlab, Julia or Python;
  • Assistance in teaching, spread over four-year period.

  • Functie-eisen

    Required:
  • MSc in applied mathematics or closely related discipline, good grades and strong mathematics skills, with clear interest in topics mentioned;
  • High motivation, perseverance;
  • Good analytical and English communication skills;
  • Interest to collaborate with industry and other partners.

  • Arbeidsvoorwaarden

    Offered:
  • Participation in advanced courses and scientific conferences;
  • Gross salary: 2325 (in first year) to 2972 euros (in fourth year) monthly.
  • Additionele informatie

    To apply:

    For informal inquiries please contact dr. Michiel Hochstenbach (m.e.hochstenbach[at]tue.nl). To apply, please use the blue button 'Apply for this job' or visit the following website: https://jobs.tue.nl/en/vacancies.html.

    Please include:
  • Motivation letter
  • Curriculum vitae
  • List of BSc and MSc courses with grades
  • MSc thesis (or draft), in English
  • Names of  three reference persons 

  • See also www.win.tue.nl/~hochsten/arrowhead.html.

    Please note: you can only upload 5 documents of 2 MB each. If necessary please combine documents.

    For further information about employment conditions, you may contact Ms. Marjolein von Reth, personnel advisor TU/e, pzwin[at]tue.nl.
    bewaar

    Specificaties - (uitleg)

    FunctietypesPhD positions
    Wetenschappelijke disciplineEngineering
    Uren 38,0 uren per week
    Werk-/denkniveauUniversity Graduate
    Vacaturenummer V32.3739
    Vertalingen
    About employer Eindhoven University of Technology (TU/e)
    Short link www.academictransfer.com/52766

    Solliciteer binnen 81 dagen op deze vacature

    Functiebeschrijving

    Mathematical Aspects of Number Representation in Embedded MRI Software

    A four-year PhD position is available at Eindhoven University of Technology (TU/e), starting date: April 1 or May 1, 2019. Research concerns analysis, improvement, and automation of the conversion of floating-point computing software into fixed-point embedded-system software, at prescribed precision.

    In this position research and innovation activities will be performed in the context of the three-year ECSEL 2018 project Arrowhead Tools. ECSEL is an industry-driven program for the Electronic Components and Systems in Europe, partly funded by the European Community and partly by national authorities.


    Project description

    Goal:

    Computing processors embedded in Magnetic Resonance Imaging (MRI) systems through field-programmable gate arrays need to be energy efficient and hence computationally efficient. For this purpose, they are coded in Very High-Integrated Circuits Description Language (VHDL), with fixed-point number representation at relatively low precision. The VHDL codes are derived from models coded in high-precision floating-point number representation. The necessary conversion of these floating-point codes into fixed-point VHDL codes is a source of performance degradation of the algorithms involved.

    Currently, converting floating-point computing software into fixed-point computing software is an empirical process, which consumes much costly development time and may easily lead to non-optimal implementations. The goal of the planned research is: to analyze, improve and automate the conversion of floating-point computing software into fixed-point embedded-system software, at prescribed precision. Direct contacts exist with dr.ir. Mark van Helvoort, manager of the Philips Public-Private Partnership Program Magnetic Resonance Imaging.


    Planned research:

    The accuracy of the conversion of the floating-point software into fixed-point software will be assessed through numerical analysis. This accuracy analysis of algorithms is expected to be of both scientific and engineering interest. The outcomes of the analysis will enable improvement of the accuracy and efficiency of scientific computing tools embedded in MRI systems, through techniques such as variable arithmetic algebra and interval arithmetic.

    You will be a member of the group Scientific Computing within the Centre for Analysis, Scientific Computing and Applications of the Department of Mathematics and Computer Science at TU/e. Your advisors will be:
  • dr.ir. Martijn Anthonissen
  • dr. Michiel Hochstenbach
  • prof.dr.ir. Barry Koren

  • Keywords: finite precision arithmetic, variable precision arithmetic, precise computing, efficient computations, interval arithmetic, numerical analysis, numerical algebra, floating-point numbers, fixed-point numbers, automated computing, MRI systems.

    Main tasks:
  • Carrying out innovative mathematics research, developing new methods and algorithms, writing scientific journal articles, giving presentations at conferences, writing PhD thesis;
  • Implementing and testing methods in computer programs, e.g. in Matlab, Julia or Python;
  • Assistance in teaching, spread over four-year period.

  • Functie-eisen

    Required:
  • MSc in applied mathematics or closely related discipline, good grades and strong mathematics skills, with clear interest in topics mentioned;
  • High motivation, perseverance;
  • Good analytical and English communication skills;
  • Interest to collaborate with industry and other partners.

  • Arbeidsvoorwaarden

    Offered:
  • Participation in advanced courses and scientific conferences;
  • Gross salary: 2325 (in first year) to 2972 euros (in fourth year) monthly.
  • Additionele informatie

    To apply:

    For informal inquiries please contact dr. Michiel Hochstenbach (m.e.hochstenbach[at]tue.nl). To apply, please use the blue button 'Apply for this job' or visit the following website: https://jobs.tue.nl/en/vacancies.html.

    Please include:
  • Motivation letter
  • Curriculum vitae
  • List of BSc and MSc courses with grades
  • MSc thesis (or draft), in English
  • Names of  three reference persons 

  • See also www.win.tue.nl/~hochsten/arrowhead.html.

    Please note: you can only upload 5 documents of 2 MB each. If necessary please combine documents.

    For further information about employment conditions, you may contact Ms. Marjolein von Reth, personnel advisor TU/e, pzwin[at]tue.nl.

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    Eindhoven University of Technology (TU/e)