Working Student AI Security (all genders) at CLOUDYRION

Published on: 14.04.2025

Designation: Working student activity in the field of AI security at a cyber security startup
Provider: CLOUDYRION G,bH
Provider's website: https://cloudyrion.com/en/job/working-student-ai-security-m-f-d/
Requirements:
Employment from: immediate / by arrangement
Duration of Employment: Temporary for one year with the possibility of extension
Place of work: Düsseldorf & Bochum
Payment: Attractive hourly wage that reflects the experience you contribute
Application documents: significant application documents (Check our website for more information) and relevant certificates. Additionally: insights into your previous research (e.g., thesis, seminar papers, or other academic work) and a link to your GitHub profile, if available.
Mail: career@cloudyrion.com
Phone:
position at the Ruhr-University: externe Stelle

At CLOUDYRION, our mission is to make the digital world safer. As a working student in AI security, you will help us advance our AI security strategies and explore innovative attack scenarios. You will gain insights into cutting-edge security concepts and work at the intersection of artificial intelligence and cybersecurity.

YOUR MISSION
AI Security & Pentesting:
Conduct penetration tests and red teaming attacks on LLMs and other AI systems to identify vulnerabilities.
Research & Innovation:
Analyze existing threats, explore new attack techniques, and develop innovative defense strategies.
Development:
Create AI security tools, proof-of-concept attacks, and security solutions to enhance the resilience of AI systems.

YOUR PROFILE
You’re currently enrolled in an advanced stage of your studies in Computer Science, Cybersecurity or a related field — with at least one year left before graduation.
You have already completed courses in artificial intelligence and have a solid understanding of machine learning and AI models.
Previous research experience through thesis work, seminars, or academic projects is a plus.
You have programming skills, especially in Python, and ideally experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
Experience in developing and working with LLMs is a plus.
You are analytical, curious, and eager to explore new frontiers in AI security.

Interested?
We look forward to your application! Please send us your application documents and relevant certificates. Additionally, we would appreciate insights into your previous research (e.g., thesis, seminar papers, or other academic work) and a link to your GitHub profile, if available.