PhD in Digital Design of Oscillatory Neural Networks for Edge AI

PhD in Digital Design of Oscillatory Neural Networks for Edge AI

Published Deadline Location
19 Feb 30 Apr Eindhoven
The NanoComputing Research Lab in Integrated Circuits (IC) group within the Department of Electrical Engineering of the Eindhoven University of Technology (TU/e) is seeking to hire an excellent and motivated PhD candidate.

Job description



Project

The research project is focused on investigating Oscillatory Neural Networks (ONNs) computing paradigm for edge AI applications and algorithms, including classification, sensor signal processing, decision-making, online learning, reinforcement learning, and more. ONNs constitute a novel class of neural networks where information is encoded through the phase difference among oscillators. They exhibit promising characteristics for associative memory tasks, and the goal is to delve deeper into their computational properties for real-world applications in edge AI.

Candidate

We are seeking a motivated PhD candidate to join our team working on cutting-edge research and development in the field of AI/ML based on Oscillatory Neural Networks (ONNs). The project aims to explore the potential of ONNs for various edge AI applications, including pattern recognition, signal processing, and real-time decision-making. As part of the project, you will be responsible for designing and implementing digital logic circuits and implementation on FPGAs to realize ONN architectures and algorithms.

Specifications

Eindhoven University of Technology (TU/e)

Requirements

  • Design and implement digital logic circuits for ONN architectures using hardware description languages (Verilog/VHDL).
  • Develop and optimize FPGA designs for efficient implementation of ONN algorithms for different AI/ML related applications.
  • Develop multi-modal processing with ONN for image and sensor processing such as time series data. Develop demonstrators to showcase on real applications.
  • Perform synthesis, place-and-route, and timing analysis to ensure FPGA designs meet performance, area, and power consumption requirements. Test and debug FPGA implementations using simulation tools and hardware testing platforms.
  • Collaborate with interdisciplinary team members to integrate FPGA-based ONN solutions into larger systems.

Qualifications:
  • Master's degree in electrical engineering, Computer Engineering, or related field.
  • Proven experience in digital logic design and FPGA implementation, preferably in the context of neural networks.
  • Proficiency in hardware description languages (Verilog/VHDL) and FPGA design tools (Xilinx Vivado).
  • Strong understanding of digital signal processing, synchronous/asynchronous design techniques, and FPGA architecture.
  • Excellent spoken and written English skills.

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Additional information

Information

Do you recognize yourself in this profile and would you like to know more?
Please contact Prof. Aida Todri-Sanial, a.todri.sanial@tue.nl, https://www.tue.nl/en/research/research-groups/electronic-systems/nanocomputing-research-lab  

Visit our website for more information about the application process or the conditions of employment. You can also contact Mrs. Linda van den Boomen, HR advisor l.j.c.v.d.boomen[at]tue.nl.

Please visit www.tue.nl/jobs to find out more about working at TU/e!

Application

If you are interested in working in an exciting, dynamic, high-tech environment, where you will contribute to creating the society of the future, we invite you to submit a complete application by using the 'apply now' button on this page.

The application should include:
  • cover letter in which you describe your personal motivation and qualifications specifically for the position.
  • curriculum vitae.
  • transcript of master and bachelor degrees.
  • copies of your final MSc thesis, including English abstracts, and (if applicable) published papers (PDF files). Submit at least one document written in English of which you are the main author.
  • results of your IELTS or TOEFL test (or equivalent).
  • and the contact information of two academic referees.

Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary, please combine files.

Specifications

  • PhD
  • Engineering
  • max. 38 hours per week
  • University graduate
  • V36.7264

Employer

Eindhoven University of Technology (TU/e)

Learn more about this employer

Location

De Rondom 70, 5612 AP, Eindhoven

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Application procedure

Application procedure

Make sure to apply no later than 30 Apr 2024 23:59 (Europe/Amsterdam).