Master's Thesis: Machine Learning Use Cases in Production

FIR e. V. an der RWTH Aachen

Other • Hybrid • Full-time • Germany

Aachen, Germany

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At this research institute affiliated with RWTH Aachen University, companies are guided on their path to Industry 4.0, developing methods for digital transformation. As part of the thesis, the student reviews academic literature, identifies machine learning use cases in a production environment, conducts case studies and expert interviews, and documents the results as use case diagrams.

Stack

AI/ML

Responsibilities

▹Independently research and review scientific literature
▹Identify machine learning use cases in a production environment
▹Conduct case studies and expert interviews
▹Describe the use cases as use case diagrams

Requirements

▹Currently studying (industrial/business) engineering, (business) informatics, economics or a comparable field
▹Very good spoken and written German and English
▹Independent, committed, thorough and goal-oriented working style
▹Confident use of standard MS Office tools

Soft skills

Independent workThoroughness and goal orientationCommitment

What we offer

▹Insight into industry and research work in collaboration with renowned companies and research partners
▹Interesting, challenging and varied tasks in a skilled, dynamic team
▹Flexible scheduling and independent work
▹Modern, collegial and digital work environment
▹Room for creativity and personal development

About the company

FIR is a research institute affiliated with RWTH Aachen University that guides companies on their path to Industry 4.0, working on digital business models, Industry 4.0 technologies and digitalization strategies.

Languages: Német: C1, Angol: C1

Education: (Gazdaság-)mérnöki, (gazdaság-)informatikai vagy közgazdasági egyetemi tanulmányok (diplomamunka pozíció)

📅 Older listing

• Posted 100 days ago
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Salary range

Not specified

Listing imported from an external source.

Work typeHybrid

Location

Aachen, DE

TypeJob

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