Internship: Evaluation and analysis of human movement data*

Winter semester 2024/25 - limited to 3-6 months

The aim of the internship is to generate statistically reliable values using an existing database (consisting of video and distance data). The aim is to create a basis for innovative solutions in the field of functional safety.

YOUR TASKS:

• You will research current approaches to characterising and classifying human poses, for example using AI algorithms
• You will conduct research on current approaches for the characterisation and classification of interactions between humans and autonomous mobile robots (AMR) in an industrial environment 
• You will implement the identified approaches in Python and carry out statistical analyses with existing data 
• If necessary, you will expand the research question according to your technical orientation or experience 
   

YOUR PROFILE:

• You are studying computer science, data science, mathematics, engineering or a comparable degree programme
• You have knowledge of statistical methods and machine learning as well as the use of these methods in Python 
• Ideally, you have some experience in analysing data
• Strong teamwork and communication skills
• Interest in developing innovative solutions
• Your independent work and creative thinking round off your profile

YOUR APPLICATION:

• We are looking forward to your online application
• Sarah Disch
• Job-ID 35792 
• 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.

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