Working Student Cyber and IT Security Engineering (m/f/d)

Introduction

Join our Cyber Security Division in Munich (Germany) at the earliest possible date.

Tasks

• You support automation initiatives within the Security Operations Center, leveraging machine learning, large language models, and workflow automation
• You help develop prototypes for use cases such as alert enrichment, triage support, case summarization, and threat intelligence processing
• You analyze security workflows and identify opportunities to reduce manual activities
• You help implement, test, and document automation scripts, detection logic, and SOC tool integrations
• You support the design and implementation of AI-driven detection and response approaches
• You assist with stakeholder communication and actively contribute to project management

Qualifications

• You are an enrolled student in computer science, cybersecurity, data science, information systems or a related field
• You have strong interest in cybersecurity, SOC operations, automation and AI
• You bring programming skills, preferably in Python
• You have basic knowledge of Machine Learning, LLMs or AI-based automation
• You are familiar with SIEM, SOAR, EDR or security monitoring is a plus
• You bring an analytical, structured and independent working style
• You have good communication skills in English, German is a plus

Contact and further information

You can expect very good payment, excellent terms and outstanding opportunities for growth and development.

We are looking forward to receive your application along with your resume, current transcript of academic records, and your current certificate of enrollment! The best way to apply is online using the reference number. If you have any questions, please feel free to contact your recruiting contact at any time.

You must be properly enrolled for the duration of your employment. You can work up to 20 hours per week during the lecture period. Mobile working is possible - but your main place of work is Munich.

We place great importance on equal opportunities. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age as well as sexual orientation and identity.

Reference number: 2543

Recruiting contact: Emilia Kansik