Student Assistant for Continuing Education Courses in IT Forensics and AI Security

Stack

Responsibilities

• ▹Update or create course materials on a defined topic: presentation slides, screencast videos, WBTs.
• ▹Research technical developments and research findings for material development.
• ▹Develop PC exercises: design them, assemble tools, exercise data, and scripts (e.g., Bash, Python), create exercise sheets and model solutions, and conduct user tests.
• ▹Compile new forensic datasets: research or create images, videos, and text corpora.
• ▹Optimize existing course materials for comprehensibility, design, and readability.
• ▹Test internal and external forensic tools.
• ▹Optional: implement compact GUIs for CLI tools, administer VMs and GPU servers used for PC exercises, and jointly supervise PC exercises during courses.

Requirements

• ▹Enrolled in a STEM degree programme.
• ▹Good knowledge of at least one relevant topic: disk/RAM analysis under Linux and Windows (file systems such as ext[234]/NTFS/FAT); detection of image/video manipulation (e.g., deepfakes) using deep learning classifiers and traditional multimedia forensics; robust hash functions for image recognition; OSINT and crawling, social media and the dark web/cryptocurrencies; machine learning for data analysis; AI security, attacks on deep learning (classifiers, LLMs) and countermeasures (e.g., adversarial examples, prompt injection).
• ▹Interest in familiarizing yourself with further specialist topics.
• ▹Strong interest in communicating specialist knowledge clearly and in a structured way.
• ▹A talent for graphic design (e.g., presentation slides, tutorial videos).
• ▹Independent working style, ability to meet deadlines.
• ▹Good knowledge of German (at least B2 or equivalent), as the course programme is delivered in German.

Nice to have

• ▹Teaching experience (e.g., teacher training, tutoring, private lessons).

Soft skills

What we offer

• ▹Attractive hourly rate: €18.06/hour for Bachelor's students, €18.78/hour for Master's students.
• ▹Interesting, varied tasks related to current research topics in digital forensics and AI.
• ▹Practical experience through direct or indirect client contact (course participants from corporate security, police, media, software development, and AI systems).
• ▹Flexible working arrangements at the SIT Institute and from home.
• ▹Good compatibility with studies: flexible hours, remote work, consideration of exam periods.
• ▹Regular coordination and feedback on tasks.
• ▹Friendly team, good equipment (e.g., work laptop).
• ▹"Corporate Benefit" discounts at numerous shops, brands, and insurers; EV charging infrastructure at the institute.
• ▹Opportunities for theses/dissertations and potential subsequent employment as a researcher.

About the company

The Fraunhofer Institute for Secure Information Technology (SIT) researches and develops digital evidence discovery methods in the IT Forensics field, and offers continuing education courses through the 'Fraunhofer Cybersecurity Learning Lab.'