Publisher
source

Mahdi Fazeli

10 months ago

PhD Opportunity in Hardware Security, Trustworthy AI, and Computer Engineering Halmstad University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

No explicit funding details are provided in the post. It is not stated whether the position is fully funded, partially funded, or self-funded, nor are stipend or tuition details mentioned.

Deadline

Expired

Country flag

Country

Sweden

University

Halmstad University

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Information Technology
Hardware Security
Explainability

About this position

A PhD opportunity is available in Computer Engineering at Halmstad University, Sweden, focusing on hardware security and trustworthy AI. The research will address the secure implementation of post-quantum cryptography (PQC) standards such as ML-KEM (Kyber) and ML-DSA (Dilithium) in real hardware. The project will apply machine learning and explainable AI to hardware verification, aiming to identify and prevent security vulnerabilities early in the design process.

Key research themes include hardware security verification at RTL and gate level, the use of graph neural networks for modeling hardware designs, explainable AI for interpretable vulnerability analysis, and exploring security–performance–energy trade-offs in hardware design. The PhD student will be supervised by Associate Professor Mahdi Fazeli at Halmstad University, with joint supervision and collaboration with Lund University within ELLIIT, Sweden’s strategic research environment in ICT. The position offers regular research exchanges, collaboration with a PhD student at Lund University, and strong opportunities for high-quality joint publications.

Applicants should have a strong background in hardware design, computer architecture, or hardware security. Experience with machine learning, explainable AI, or hardware verification is desirable. A relevant degree in computer engineering, electrical engineering, or a related field is required. No specific funding or deadline information is provided in the post. Interested candidates are encouraged to contact Mahdi Fazeli directly or share the post with potential applicants.

Funding details

No explicit funding details are provided in the post. It is not stated whether the position is fully funded, partially funded, or self-funded, nor are stipend or tuition details mentioned.

What's required

Applicants should have a strong background in hardware design, computer architecture, or hardware security. Experience with machine learning, explainable AI, or hardware verification is desirable. A relevant degree in computer engineering, electrical engineering, or a related field is required. No specific GPA or language test requirements are mentioned.

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Professors

Associate Professor

University Name
Country flag

Sweden

Research Interests

Hardware Engineering

Internet Of Things

Integrated Circuit

Computer Architecture

Fpga Design