Master’s Thesis – Machine Learning Use Cases in Production

Job not on LinkedIn

🔥 13 minutes ago

🇩🇪 Germany – Remote

⏱ Part Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🗣️🇩🇪 German Required

Where this job comes from

Posted on FIR an der RWTH Aachen's careers page, not through a job board

First seen by Remote Rocketship 13 minutes ago

Logo of FIR an der RWTH Aachen

FIR an der RWTH Aachen

51 - 200 employees

Founded 1953

📚 Education

🔬 Science

💼 Consulting

Education • Science • Consulting

FIR an der RWTH Aachen is a university-affiliated research and consulting institute at RWTH Aachen University that supports industry in the digital transformation and implementation of Industry 4. 0. It conducts applied research and industry projects across business transformation, service engineering, production and production planning, smart mobility and smart logistics, ERP/MES management, process mining, AI applications, and data/operations management. FIR also offers qualifications and certificate courses, hosts events and roundtables, publishes whitepapers and magazines, and recruits researchers and practitioners for project-driven, interdisciplinary work that connects academia and leading companies. The institute operates as a bridge between research and practice, providing consulting, project services, training, and test infrastructure for industry partners.

📋 Description

• Independent research and review of academic literature • Identification of Machine Learning use cases in a production environment • Conducting case studies and expert interviews • Documenting use cases using use case diagrams

🎯 Requirements

• Currently studying Industrial Engineering, Computer Science, Business Administration, or a related field • Very good written and spoken German and English skills • Independent, committed, meticulous, and goal-oriented approach to work • Proficiency in standard MS Office applications

🏖️ Benefits

• Flexible working hours and the opportunity to work independently • Modern, collaborative, and digital working environment • Opportunities for creativity and personal development • Insights into industrial and research activities in collaboration with renowned companies and research partners • Interesting, challenging, and varied tasks in a qualified and dynamic team

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