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PhD Researcher on AI-Assisted Reverse Engineering of Integrated Circuits

Develop AI-driven methodologies for hardware assurance and reverse engineering of integrated circuits.

Best for:Best for researchers with a strong background in computer vision, deep learning, and an interest in hardware security.

Tilburg University · Tilburg, Netherlands · R1 · First-stage researcher
More professors at Tilburg University
Hardware SecurityDeep LearningComputer VisionReverse EngineeringSemiconductor AnalysisGraph-based Inference
Deadline
Nov 1, 2026
18 days
Funding
Salaried
€3.1k–€3.9k/mo
Start date
flexible
Full-time
Location
Tilburg
Netherlands

Overview

Tilburg University is seeking a PhD researcher to join the SHIELD project, a collaborative initiative focused on AI-assisted reverse engineering of integrated circuits. The project aims to develop automated pipelines for analyzing high-resolution microscopy data to support hardware assurance and threat analysis. Working within the Department of Intelligent Systems, the successful candidate will integrate computer vision, deep learning, and logical reconstruction techniques. This role involves close collaboration with the Netherlands Defence Academy and the Netherlands Forensic Institute to ensure research remains grounded in real-world forensic workflows. The position offers an opportunity to contribute to open-access publications while addressing critical challenges in semiconductor security.

PhDArtificial IntelligenceHardware AssuranceIntegrated CircuitsMicroscopyCybersecurityDeep LearningComputer Vision

What you'll do

  • Develop deep learning pipelines for multilayer segmentation and transistor classification from microscopy images.
  • Design graph-based inference models to reconstruct logical blocks and identify potential Hardware Trojans.
  • Evaluate methodologies for memory extraction and vulnerability analysis using physically grounded image data.
  • Collaborate with forensic and defence partners to validate research methods under practical constraints.
  • Contribute to open-access scientific publications and technical documentation.
  • Evaluate the scientific validity and limitations of proposed AI-driven reverse-engineering workflows.

Requirements

Degree required: Master’s degree in Artificial Intelligence, Computer Science, Electrical Engineering, Computational Neuroscience, Physics, or a closely related field.

Degree offered: PhD

Language: English; high proficiency in academic writing and speaking.

Instruction: English

Required skills
  • Strong programming proficiency in Python.
  • Demonstrated experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Experience in computer vision and image analysis.
  • Strong analytical and problem-structuring skills for complex systems.
  • Excellent written and verbal communication skills in English.
Nice to have
Experience with hardware security or semiconductor analysis.Familiarity with graph-based modeling or logical reconstruction techniques.
Eligibility
  • Must hold a completed university master’s degree in a relevant quantitative field.

Funding & terms

Type
Salaried
Amount
€3.1k–€3.9k/mo
Duration
—
Programme
Tilburg University
Tilburg University

How to apply

Deadline: 2026-11-01

Interested candidates should submit their application through the official university portal. Ensure all required academic documentation is included to support your candidacy.

Documents required
  • CV
  • Cover letter
  • Academic transcripts
↗Apply on site
Lab
Cognitive Science & Artificial Intelligence Research Center
Tilburg University
Netherlands
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