Postdoc Position on Material Learning With Dopant Network Processing Units

The University of Twente, In the Netherlands, invites applications for its Postdoc Position on Material Learning with Dopant Network Processing Units.

This position is part of the Horizon Europe Pathfinder project HYBRAIN (www.hybrain.eu). HYBRAIN’s vision is to realize a radically new technology for ultra-fast and energy-efficient edge AI inference based on a world-first, unique, brain-inspired hybrid architecture of integrated photonics and unconventional electronics with collocated memory and processing. As the most stringent latency bottleneck in CNNs arises from the initial convolution layers, we will take advantage of the ultrahigh throughput and low latency of photonic convolutional processors (PCPs).

Salary

The Postdoc Position on Material Learning With Dopant Network Processing Units covers

  • Gross salary between € 3.420,- and € 4.490,- per month depending on experience and qualifications;
  • Excellent benefits including a holiday allowance of 8% of the gross annual salary, a year-end bonus of 8.3%, and a solid pension scheme;
  • Between 29 and 41 leave days in case of full-time employment;
  • Excellent support for research and facilities for professional and personal development.
  • A family-friendly institution that offers parental leave (both paid and unpaid) and career support for partners.

Job Requirements

The Postdoc Position on Material Learning With Dopant Network Processing Units seeks applicants who:

  • are a highly motivated and enthusiastic researcher;
  • have a PhD degree in the field of machine learning, electrical engineering, or similar with an affection for (solid-state) physics;
  • are an independent and original thinker with a creative mindset;
  • are a fast thinker with excellent analytical and communication skills;
  • have good team spirit and like to work in an internationally oriented environment;
  • are experienced with Python and Pytorch;
  • are fluent in English.
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Application Process

Applications for the Postdoc Position on Material Learning With Dopant Network Processing Units should include:

  • A motivation letter, emphasizing their specific interest and motivation to apply for a Postdoc position in this research area.
  • A detailed Curriculum Vitae, including any publications if applicable, academic awards, and their working experience.

To apply, click here.

Application Deadline: April 30, 2022.

For more information on the Postdoc Position on Material Learning With Dopant Network Processing Units, visit the official site.

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