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Internship: Evaluation and analysis of human movement data*
Jetzt bewerbenStellenbeschreibung
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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