Phd AI-assisted reverse engineering of integrated circuits

Tilburg University | Tilburg School of Humanities and Digital Sciences

Research Center for Cognitive Science and Artificial Intelligence

is looking for a

PhD researcher on AI-assisted reverse engineering of integrated circuits (1 FTE)

Departments: Department of Intelligent Systems (DIS) & Department of Computational Cognitive Science (DCS)

Location: Tilburg

Full-time equivalent: 1.0 FTE (40 hours per week)

Full-time gross monthly salary: €3.059 (first year) - €3.881

Contract duration: 12 months + optional 3 years (or 4 years)

Desired starting date: October 1st, 2026

Your position

The Cognitive Science & Artificial Intelligence Research Center at Tilburg University hosts the Secure Hardware Intelligence Extraction and Logic Deconstruction (SHIELD) research project, a scientific initiative focused on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and Security research units, in collaboration with the Data Science Centre of Excellence of the Netherlands Defence Academy and the Netherlands Forensic Institute. The PhD researcher will operate at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems.

The PhD researcher will be formally embedded in the Department of Intelligent Systems (DIS) and will collaborate closely with the Department of Computational Cognitive Science (DCS).

The project

The SHIELD project is a collaboration between Tilburg University, the Data Science Centre of Excellence of the Netherlands Defence Academy, and the Netherlands Forensic Institute, combining expertise in artificial intelligence, micro-electronics analysis, and hardware security. The project focuses on developing AI-assisted methodologies for reverse engineering integrated circuits in order to support hardware assurance, threat analysis, and intelligence extraction workflows.

The Tilburg PhD researcher will develop a methodological pipeline for analysing high-resolution microscopy data of integrated circuits, integrating computer vision, deep learning, and logical reconstruction techniques. The research investigates how multimodal imaging modalities - including scanning electron microscopy (SEM), photon emission microscopy (PEM), and focused ion beam (FIB) imaging - can be combined with AI to reconstruct nanoscale chip structures and infer functional behaviour from physical layouts. The project addresses the challenge of extracting reliable structural and logical information from complex semiconductor architectures under realistic imaging constraints.

Specifically, the researcher will focus on the following three main tasks:

(a) Developing deep learning pipelines for multilayer segmentation and nanoscale transistor classification from microscopy images;

(b) Designing graph-based inference models capable of reconstructing higher-level logical blocks and identifying anomalous structures indicative of Hardware Trojans;

(c) Evaluating methodologies for memory extraction, vulnerability analysis, and logical reconstruction using physically grounded image data.

The research explores how AI-driven analysis can move beyond manual reverse-engineering workflows by automating feature extraction and structural interpretation while remaining robust to noise, obfuscation, and architectural variability. Because the work operates at the intersection of scientific research and hardware security, the project carefully balances methodological innovation with responsible handling of sensitive datasets and forensic constraints.

More information about the project, see https://tiu.nu/23861

Connection to external stakeholders:

The SHIELD project is conducted in collaboration with the Data Science Centre of Excellence of the Netherlands Defence Academy and additional defence stakeholders who provide operational context and feedback during milestone evaluations. Their role is advisory and focused on validating methodological relevance rather than directing the scientific outcomes. This collaboration ensures that the research addresses real hardware assurance challenges while maintaining academic independence and open scientific dissemination.

Your qualifications

• A completed university master’s degree in Artificial Intelligence, Computer Science, Electrical Engineering, Computational Neuroscience, Physics or a closely related field with a strong quantitative focus.
• Strong programming skills in Python and demonstrated experience with machine deep learning frameworks (for instance, PyTorch or TensorFlow), preferably applied to computer vision and image analysis.
• Analytical thinking and problem-structuring skills, including the ability to abstract complex systems, identify core research challenges, and develop methodologically rigorous solutions.
• The ability to communicate complex technical concepts clearly in written and spoken English, supported by strong academic writing skills and an interest in open scientific dissemination.

Appointment and salary

This PhD position will be employed at Tilburg University. We offer:

• A full-time position.
• The selected candidate will start with a contract for one year. Upon a positive outcome of the first-year evaluation (based on agreed tasks), the candidate will be offered an employment contract for the remaining three years.
• A minimum gross salary of €3.059 per month in the first year up to a maximum of €3.881 in the fourth year;
• A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually).
• Candidates from outside the Netherlands may qualify for a tax-free allowance. During the first 20 months, 30% of the salary will be reimbursed untaxed. In the next 20 months, this percentage drops to 20% and during the last 20 months, the untaxed reimbursement is 10% of the salary. The university will apply for such an allowance on their behalf;
• Assistant in finding accommodation (for foreign employees);
• The opportunity to conduct cutting-edge research within a large-scale, interdisciplinary scientific project involving Tilburg University (TiU), the Data Science Centre of Excellence (DSCE) at MindLabs, the Netherlands Defence Academy, and the Netherlands Forensic Institute (NFI), with potential extension to multiple commercial partners. The project brings together senior researchers and key stakeholders, fostering a unique environment for high-impact research, cross-sector collaboration, and knowledge transfer.
• Support for your personal development and career planning including participation in courses, summer schools, conference visits to other institutes (both academic and industrial) and similar.
• A broad package of fringe benefits (including excellent technical infrastructure, savings schemes and excellent sport facilities).
• Please note that pre-employment screening may be part of the application procedure.

The collective labour agreement of the Dutch Universities applies. Tilburg University offers excellent employment conditions. We think flexibility, professional and personal development, and good employee benefits are important. Tilburg University values an open and inclusive culture. We embrace diversity and encourage the mutual integration of groups of employees and students. We focus on creating equal opportunities for all our employees and students, so that everyone feels at home in our university community.

Tilburg University has a lively campus in beautiful green surroundings that is easily accessible by public transport. We are committed to a sustainable society and challenge you to make an active contribution.

Please visit working at Tilburg University for more information on our terms of employment.

Want to know more?

For more information about the position, please contact the Nevena Rankovic, [email protected].

Want to apply?

To apply, please submit the following:

• A motivation letter (max. 2 pages) explaining your interest in the SHIELD project, your research ambitions, and how your background and skills make you a strong fit for this position;
• A detailed curriculum vitae, demonstrating academic excellence and research potential, including publications (if applicable);
• Official academic transcripts of your Bachelor’s and Master’s degrees;
• Writing sample: Master’s thesis (mandatory) and, if available, a relevant academic publication, technical report, or industry research project related to the SHIELD project;
• Contact details of two referees, either academic or industry-based, who can comment on your research capabilities and professional performance.

The only way to apply is online. The first deadline for application is August 31, 2026. The position is open until filled. The application interviews will start from (the first week) of September 2026. You will ideally start working for Tilburg University on October 1st, 2026.