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PhD in Mixed-Signal Design for Oscillatory Neural Networks

PhD in Mixed-Signal Design for Oscillatory Neural Networks

Position
PhD-student
Irène Curie Fellowship
No
Department(s)
Electrical Engineering
FTE
1,0
Date off
29/02/2024
Reference number
V36.7094

Job description

Background

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 outstanding PhD candidate within the Horizon Europe project PHASTRAC. This Ph.D. position focuses on mixed-signal design for neuromorphic computing, specifically centered around Oscillatory Neural Networks (ONNs). A primary research thrust within the NanoComputing Research Lab involves advancing ONN computing based on digital, mixed-signal, analog circuit for energy efficient computing. This position offers an exceptional opportunity to contribute to cutting-edge research in the development of novel brain-inspired computing architectures for advanced machine learning and artificial intelligence applications.

Candidate

We are seeking highly skilled and motivated PhD candidate to join our research team to investigate and design mixed-signal circuits for oscillatory neural networks. Candidate will be investigating and developing circuit designs to implement associative memory and solver for combinational optimization problems.  Candidate will perform research related:

  • circuit design in CMOS technology nodes (e.g., 65nm, 16nm or 7nm) and for implementing oscillatory neural network models, including oscillators and synaptic circuits. Tapeout possible via Europractice.
  • develop a specific ONN circuit topology for associative memory applications and as a solver for combinatorial optimization problems such as an Ising machine.
  • tape out your own design to demonstrate ONN computing for associative memory and Ising solver.
  • Perform extensive simulations and evaluations to assess the performance and efficiency of the designed circuits.
  • Analyze and interpret simulation results and contribute to scientific publications and conferences and project technical reports.

Job requirements

  • Holds a Master's degree in Electrical Engineering or Applied Physics or related discipline.
  • Strong background in analog/mixed-signal circuit design, including experience with CMOS technology and VLSI design.
  • Knowledge of neuromorphic computing principles and familiarity with oscillatory neural network models is highly desirable.
  • Proficiency in analog design tools, such as Cadence or Synopsys, for schematic entry, simulation, and layout.
  • Experience with circuit-level simulations, noise analysis, and characterization of analog circuits e.g., monte-carlo analysis.
  • Programming skills in languages such as MATLAB or Python
  • Excellent analytical and problem-solving skills
  • Good communication and teamwork abilities, with a passion for research and an eagerness to learn and contribute to the field.

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.

Information and application

About us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.

Information

Do you recognize yourself in this profile and would you like to know more?
Please contact prof. Aida Todri-Sanial, a.todri.sanial(at)tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services Flux, hrservices.flux[at]tue.nl.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application

We invite you to submit a complete application by using the apply button.
The application should include a:

  • A cover letter explaining:
    1) your motivation for applying to this position
    2) background and qualifications for the position
    3) the proposal for a research plan for next four years, based on the project description
  • A detailed Curriculum Vitae (including a list of publications and awards)
  • Contact information of two reference people
  • Copies of diplomas and a list of your courses taken and grades obtained
  • A page summary of your MSc thesis
  • Proof of English language skills (if applicable), and
  • all other information that might be relevant.

We look forward to receiving your application and will screen it as soon as possible.

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