Role Overview
We are seeking a highly skilled Cybersecurity & AI Specialist to join our team. This role focuses on the intersection of Artificial Intelligence and Industrial Security (OT/ICS). You will be responsible for developing, evaluating, and deploying AI-driven methods for anomaly detection, threat analysis, and incident response, ensuring the reliability and operational continuity of critical industrial environments.
The ideal candidate thrives in the space where IT and OT converge, applying cutting-edge machine learning research to real-world industrial challenges.
Key Responsibilities
- AI Development: Design and implement AI/ML models for proactive threat detection and automated incident response support.
- Security Research: Conduct experimental research and literature reviews to stay ahead of the evolving threat landscape in industrial sectors.
- IT/OT Integration: Evaluate security methodologies that bridge the gap between traditional IT infrastructure and Industrial Control Systems (ICS).
- System Resilience: Assess model robustness against adversarial attacks and ensure that security measures do not compromise operational safety or uptime.
- Documentation: Maintain rigorous version control (Git) and produce high-quality technical documentation and scientific reports.
Technical Requirements
1. Security Fundamentals & Infrastructure
- Core Security: Proficiency in threat modeling, risk assessment, system hardening, IAM, and cryptography.
- Networking: Deep understanding of TCP/IP, DNS, HTTP, and VPNs. Experience with firewall management and network segmentation.
- Systems & Cloud: Proficiency in Linux/Windows administration, virtualization, and log management. Familiarity with Docker and major cloud providers (AWS, Azure, or GCP).
- Detection & Response: Hands-on experience with SIEM, EDR, and IDS/IPS tools, mapped against the MITRE ATT&CK framework.
2. Advanced OT/ICS Specialization
- Industrial Protocols: Knowledge of protocols such as Modbus, OPC UA, or S7.
- Operational Technology: Understanding of asset inventory, “Zones & Conduits” models, and passive monitoring techniques.
- Standards: Familiarity with IEC 62443 principles and the unique balance between Safety and Security.
3. AI/ML for Security
- Advanced Analytics: Expertise in feature engineering, anomaly detection, and model evaluation.
- Robustness: Understanding of adversarial machine learning and the challenges of deploying AI in critical infrastructure.
- Research Skills: Strong Python scripting abilities, experience with experimental methodology, and a track record of scientific writing or technical reporting.
Preferred Qualifications
- Master’s or PhD in Computer Science, Cybersecurity, or Engineering with a focus on AI.
- Experience in reproducibility and collaborative coding via Git.
- Strong communication skills to translate complex AI findings into actionable security strategies.
What We Offer
- Opportunity to work on high-impact projects involving critical infrastructure protection.
- A collaborative environment that values both academic rigor and practical innovation.
