Systems & Security Research Engineer
Pubblicato il 07-09-2026 - Altro in Roma
Organisation/Company Mulini Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 1 Oct 2026 - 12:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 15 Oct 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe Reference Number 1 Is the Job related to staff position within a Research Infrastructure? No
Offer Description Mulini SRL is looking for a talented and motivated Research Engineer to join our European team and contribute to REAL-PETS , a newly funded Horizon Europe project scheduled to begin shortly. Working alongside leading institutions across Europe, you will help develop practical privacy‑enhancing and security technologies for real‑world web, mobile, and IoT ecosystems.
In this role, you will bridge the gap between cutting‑edge research and real‑world systems, working at the intersection of systems engineering, cybersecurity, and applied AI for networked environments. You will design, build,
and evaluate robust systems that push the boundaries of what is possible while maintaining a strong security posture.
Duration: 36 months, with possibility of extension
Responsibilities
Design and develop scalable, reliable systems that incorporate AI models into production environments
Identify, analyze, and mitigate vulnerabilities and mitigation strategies in systems pipelines, related AI models, and infrastructure
Collaborate cross-functionally with research scientists, software engineers, and product teams
Publish findings, write technical reports, and present work to internal and external stakeholders
Requirements
MSc in Computer Science, Electrical Engineering, or a related field
Solid understanding of networks principles
Proficiency in Python and at least one systems-level language (C, C++, Rust, or Go)
Fluency in English
Preferred Qualifications
Hands‑on experience with applied ML