Summary: This PhD project, part of the REACT MSCA Doctoral Network, focuses on developing an energy-efficient compute-in-memory (CIM) architecture for real-time edge learning. It addresses critical challenges in power consumption, latency, and memory bandwidth by incorporating reliable fault detection. The project will create an advanced, potentially FPGA-accelerated emulation framework to enable fast and accurate exploration of neuromorphic hardware and learning paradigms, fostering rapid prototyping, automated design-space exploration, and cross-technology benchmarking for future edge-intelligent systems.
Title: PhD Position: Emulation Framework for Self-Aware Neuromorphic System-on-Chip Architectures
Designation: PhD Candidate
Research Area: Neuromorphic Computing, System-on-Chip (SoC) Architectures, Compute-in-Memory (CiM), Emulation Frameworks, Fault Detection, Edge Learning, Secure AI Acceleration.
Location: Eindhoven, Noord-Brabant, Netherlands
Eligibility/Qualification:
- Master’s degree or equivalent in Electrical Engineering with excellent grades.
- Knowledge of Digital/Mixed-Signal Integrated Circuit (IC) design and Computer Architecture.
- Solid skills in HDL (Verilog, VHDL) and scripting languages (Python, TCL).
- Experience with commercial EDA tools (Cadence/Mentor Graphics).
- Must not have resided or carried out main activity in The Netherlands for more than 12 months in the 3 years immediately before the recruitment date.
- Must not already possess a doctoral degree at the date of recruitment.
- Fluent in spoken and written English (C1 level).
Desirable Qualifications:
- Knowledge in Neuromorphic architectures.
- Knowledge in Low power IC design.
- Research-oriented attitude, initiative, and strong problem-solving skills.
- Ability to work in an interdisciplinary team.
- Motivation to develop teaching skills and coach students.
Job Description:
The successful candidate will be responsible for:
- Developing FPGA-based emulation and prototyping frameworks to accelerate the design-space exploration of neuromorphic SoC architectures using emerging CiM paradigms.
- Designing energy-efficient, adaptive, and scalable neuromorphic SoC architectures integrating CiM technologies.
- Investigating security mechanisms for neuromorphic and AI accelerators, including side-channel resistance and secure on-chip learning.
- Implementing, validating, and benchmarking developed architectures using simulation environments and hardware prototypes.
- Collaborating with interdisciplinary research teams in artificial intelligence, circuit design, computer architecture, and embedded systems engineering.
- Engaging in teaching tasks and potentially coaching students (minimum 10% of employment, maximum 15% per year).
How to Apply:
Applications must be submitted online via the application portal on the project website: https://project-react.eu/vacancies/. Applications sent by email or post will not be processed.
The application should include:
- A clearly written cover letter (maximum one page) explaining your motivation for applying.
- A detailed curriculum vitae (CV) in English, including a list of publications (if applicable).
- Copies of official BSc/MSc degree certificates and corresponding academic transcripts for each degree.
Last Date for Apply: June 22, 2026 (Vacancy will remain open until the position is filled).
