About the Team
You will join a multidisciplinary security research team working on emerging topics such as PostQuantum Cryptography (PQC) Cyber Resilience Machine Learning and AI UltraWideband (UWB) Security and Physical Security. The team explores new concepts evaluates technical feasibility and prototypes ideas that may support future security technologies at NXP.
Project Highlight & Key Challenge
This thesis focuses on optimizing the performance and memory footprint of modern postquantum cryptographic (PQC) schemes on resourceconstrained embedded platforms. Typical targets include microcontrollerclass systems such as Arm CortexM and RISCVbased devices. You will work with established opensource PQC codebases and benchmarking frameworks such as PQM4 and PQClean studying both algorithmic and implementationlevel optimization strategies. The goal is to identify bottlenecks and experimentally evaluate how different approaches affect execution performance stack usage and overall memory footprint on embedded targets.
This is a researchdriven project in which you contribute by exploring solution spaces generating technical insights and documenting your findings.
Your Responsibilities
In this thesis project you will:
Candidate Profile / Requirements
You are a masters student in Computer Science Information Engineering Information Security Cryptography Mathematics Software Engineering or a related field.
You should have:
What NXP Offers:
Please note:
The successful candidate may/will be responsible for security related tasks.
The assignment may/will be in scope of security certifications therefore a conscious and reliable way of working is necessary.
NXP is a global semiconductor company creating solutions that enable secure connections for a smarter world.