Master Thesis in Causal AI for Manufacturing
vor 4 Wochen
We are seeking a highly motivated and skilled researcher to work on a master thesis project focused on causal AI in manufacturing. The goal of this project is to develop and apply causal learning methods to improve our understanding of manufacturing processes and optimize production outcomes.
Key Responsibilities:
- Develop causal learning methods based on domain knowledge and data
- Evaluate the quality of learned causal models on real manufacturing data
- Collaborate with manufacturing process experts and ML scientists to integrate causal AI into our production processes
Requirements:
- Master studies in Physics, Mathematics, Computer Science, Mechanical Engineering, Electrical Engineering, or comparable with very good grades
- Practical experience in Machine Learning; programming in Python; knowledge of causality is an advantage
- Self-motivated, reliable, and independent person with excellent communication skills
- Fluent in English
Additional Information:
This is a full-time position for 6 months. The requirement for this thesis is enrollment at a university. Please attach your CV, transcript of records, examination regulations, and if indicated, a valid work and residence permit.
We value diversity and inclusion and welcome all applications, regardless of gender, age, disability, religion, ethnic origin, or sexual identity.
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