Job
In this role, you will develop Adversarial Machine Learning approaches to enhance cyber defense systems, evaluate them in network simulations, and work on automated security solutions while presenting findings within the team.
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Job technologies
Your role in the team
- Development and optimization of Adversarial Machine Learning (AML) to strengthen autonomous cyber defense systems.
- Implementation and evaluation of AML approaches in network simulation environments to defend against real and unpredictable cyber threats.
- Further development of automated blue- and red-teaming approaches using Large Language Models (LLMs).
- Analysis and improvement of the robustness of security solutions in the areas of intrusion detection and network security.
- Documentation and presentation of research findings within the interdisciplinary cortAIx team.
Our expectations of you
Education
- Degree in computer science, artificial intelligence, network security, mathematics, engineering, or a comparable field.
Qualifications
- Knowledge of artificial intelligence and machine learning.
- Good programming skills in Python, Java, C, or C++.
- Knowledge of intrusion detection, network simulations, or autonomous agent systems is an advantage.
- Independent working style, team spirit, and strong problem-solving skills.
- Very good written and spoken German and English skills.
Experience
- Experience with network security technologies and cybersecurity practices.
Benefits
Work-Life-Integration
Health, fitness & fun
Topics you will work on
Job locations
About your employer
We combine diverse skills, talents and cultures to design and deliver exceptional high-tech solutions. Solutions that make it possible to act today tomorrow. From the bottom of the ocean to outer space and beyond, we help our clients think smarter and act faster - with ever-increasing complexity and every crucial moment along the way.
- Established Company
- Onsite, Hybrid, Full Remote
- Internet, IT, Telecommunication
Employer reviews
- Team culture
- 3.8
- Engineering
- 3.0
- Working conditions
- 3.8
- Career growth
- 3.4
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