Post-Doc in Oscillatory Neural Networks Circuit Design for NP-Hard Solver

Post-Doc in Oscillatory Neural Networks Circuit Design for NP-Hard Solver

Published Deadline Location
29 Jan 27 Mar Eindhoven

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Job description

The NanoComputing Research Lab in Integrated Circuits (IC) group within the Department of Electrical Engineering of the Eindhoven University of Technology (TU/e) is a leading research group dedicated to pushing the boundaries of knowledge in the field of artificial intelligence and computational physics. We are currently seeking a highly motivated and skilled Post-Doctoral Researcher to join our dynamic team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for solving combinatorial optimization problems.


The successful candidate will be an integral part of our innovative research projects focused on harnessing the unique capabilities of Oscillatory Neural Networks (ONNs) to address combinatorial optimization problems while entwining theoretical aspects from statistical physics and neuroscience. ONNs, inspired by the dynamics of coupled oscillators, exhibit inherent properties that enable efficient problem-solving through energy minimization. In this project, we aim to further explore and exploit the potential of ONNs in embedding graph-based problems, particularly those known to be challenging for classical computing architectures.
This project offers a unique opportunity to be at the forefront of research, pushing the boundaries of neural network design and application, and contributing to the development of next-generation computing solutions for complex optimization challenges. The successful candidate will be part of a collaborative and dynamic research environment, working alongside experts in the fields of artificial intelligence, statistical physics, and integrated circuit design.


The selected post-doctoral researcher will play a crucial role in our groundbreaking research project by delving into novel Oscillatory Neural Network (ONN) architectures specifically designed for complex combinatorial optimization tasks. This involves exploring innovative analog and mixed-signal approaches in circuit design to enhance the overall performance of ONNs. The candidate will actively engage in schematic and layout design processes, leading the way to the tape-out phase for subsequent IC chip production. Subsequently, the researcher will conduct thorough IC chip characterization and testing, systematically evaluating the efficacy of ONNs in tackling a wide array of optimization problems. Additionally, the post-doc will assume a leadership role in project management, overseeing and guiding efforts related to ONN IC design, while providing valuable support and mentorship to junior team members. This multifaceted role presents a unique opportunity to contribute significantly to the cutting-edge intersection of physics-inspired computing and combinatorial optimization problem-solving.


Eindhoven University of Technology (TU/e)


The successful candidate will play a pivotal role in advancing the understanding and application of ONNs in solving complex combinatorial optimization problems. Key responsibilities include:
  • Collaborate on determining ONN architecture specifications.
  • Engage in circuit design, with a preference for analog and mixed-signal approaches.
  • Contribute to schematic and layout design, leading toward tape-out for IC chip production.
  • Perform IC chip characterization and testing for various combinatorial optimization problems.
  • Assume project management tasks to lead efforts on ONN IC design.
  • Mentor and provide support to junior team members.

  • Ph.D. in Electrical Engineering, Computer Engineering, or a related field.
  • Strong expertise in IC design and VLSI design.
  • Experience with chip tape-out and testing processes.
  • Familiarity with the design and implementation of neural networks is highly desirable.
  • Excellent programming skills and proficiency in relevant software tools.
  • Effective communication and collaboration skills.
  • Proven ability to manage projects and mentor junior team members.

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:
  • A full-time employment for one year in a research group with an excellent reputation, with an intermediate evaluation after one year for extension.
  • Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 (min. €3,877 max. €5,090).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs on general skills, didactics and topics related to research and valorization.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • Partially paid parental leave and an allowance for commuting, working from home and internet costs.
  • A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops.
  • A Staff Immigration Teamis available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.


  • Postdoc
  • Engineering
  • max. 38 hours per week
  • Doctorate
  • V36.7214


Eindhoven University of Technology (TU/e)

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De Rondom 70, 5612 AP, Eindhoven

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