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· Entry-level
Master's Thesis: Machine Learning Use Cases in Production
Sonstige
• Entry-level
• Remote
• Vollzeit
•
Deutschland
A master's thesis opportunity at FIR at RWTH Aachen: you will identify and describe machine learning use cases in production environments.
Stack
Responsibilities
- ▹Independently research scientific texts and review the literature
- ▹Identify machine learning use cases in a production environment
- ▹Carry out case studies and expert interviews
- ▹Describe the use cases as use case diagrams
Requirements
- ▹Studying (industrial) engineering, (business) informatics, business administration or a similar field
- ▹Very good German and English, written and spoken
- ▹Independent, committed, careful and goal-oriented way of working
- ▹Confident with common MS Office programs
Soft skills
IndependenceCommitmentCarefulnessGoal orientation
What we offer
- ▹Insight into the industry and research business, working with renowned companies and research partners
- ▹Interesting, challenging and varied tasks in a qualified, dynamic team
- ▹Flexible time management and independent work
- ▹Modern, collegial, digital work environment
- ▹Room for creativity and personal development
About the company
FIR at RWTH Aachen supports companies on their way to Industry 4.0 and develops methods for digital transformation, including digital business models, the application of Industry 4.0 technologies, and the design of processes and digitalization strategies.
Languages: Német: nagyon jó szóban és írásban, Angol: nagyon jó szóban és írásban
Education: Egyetemi hallgatói jogviszony (mérnöki, informatikai vagy üzleti irány)
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