Internship / Thesis: Evaluation of AI Methods for Human Recognition in the Smart Factory*

Summer Semester 2025 - fixed-term for 3-6 months

This work focuses on assessing the decisions of AI-based algorithms to ensure reliable and precise human detection. The goal is to enhance employee safety, optimize operations, and ensure the reliable functioning of smart factory production environments.

YOUR TASKS:

• You conduct literature research on model evaluation and selection to capture the current state of research and industry standards.
• You analyze existing models regarding their reliability.
• You identify specific patterns or features that define a particular concept (e.g., "human").
• You contribute to making the decisions of existing neural networks more understandable by evaluating traceable logical rules and concepts.
• You are responsible for the detailed documentation of work results.

YOUR PROFILE:

• You are studying mathematics, electrical engineering, computer science, physics, or a comparable field.
• You enjoy developing and applying statistical models and machine learning algorithms in industrial environments.
• You have programming experience, particularly in Python or MATLAB, and you are enthusiastic about implementing and evaluating the solutions you develop.
• You possess very good English language skills.
• Your independent and goal-oriented working style enables you to tackle complex issues in a structured manner.
• Your strong teamwork and communication skills complete your profile.

YOUR APPLICATION:

• We are looking forward to your online application
• Sarah Disch
• Job-ID 36412 
• All applications will be treated confidentially

*At SICK, we see people, not gender. 

We put great emphasis on diversity, reject discrimination and do not think in categories such as gender, ethnicity, religion, disability, age or sexual identity.

Stichworte: Intern, Internship, Abschlussarbeit