Training and Education Specialist intern focusing on AI in employee development at Motorola Solutions. Collaborating on instructional design and creating learning materials for corporate training.
FR
Onsite Theses – AI for Predictive Maintenance, Reliability in Energy Systems
Posted 23 hours ago
About the role
- Research project focused on AI for predictive maintenance and reliability in energy systems at Fraunhofer IEE in Kassel. Offering topics for Bachelor's and Master's theses, and supporting students' career development.
Responsibilities
- You will develop innovative approaches in data analysis and deep learning to improve the operational reliability and efficiency of various energy systems.
- We offer a range of topics for Bachelor's and Master's theses in the areas of reliability and predictive maintenance for energy systems.
- You will document your findings in your thesis and present them to the project team.
Requirements
- Enrolled in a degree program in Computer Science, Mathematics, Physics, or a related field
- Basic knowledge of machine learning and deep learning
- Experience with TensorFlow/Keras or PyTorch is an advantage
- Interest in reliability and operational optimization of energy systems
- Independent and proactive working style
Benefits
- Insight into application-oriented research in the energy sector with direct relevance to industry and society
- Access to expert networks in the energy industry and research community
- Commitment to the Diversity Charter – we actively promote diversity and inclusion across all areas
- Possibility of continued employment (e.g., as a student research assistant or for pursuing a PhD)
- Flexible, individually adjustable working hours to accommodate lecture and exam schedules, plus the option to work from home or from a modern institute building with a New Work concept in a central location
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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