| Job titel | Bachelor thesis, master thesis, project thesis |
|---|---|
| Start | Immediately or by arrangement |
| Theme | Industry 4.0, Artificial Intelligence, Automated guided vehicles, Ecology, Digitalisation |
| Project | Development of a decision-making aid for the end-of-life of intralogistics systems (EndLogSys) |
| Application | Deine aussagekräftige Bewerbung enthält Anschreiben, Lebenslauf sowie Prüfungsleistungen des Studiums / Zeugnisse. Bitte sende die Unterlagen in einer einzigen PDF-Datei an jobs@iph-hannover.de |
The EndLogSys research project addresses a key gap: We are developing a decision-making tool to determine the end-of-life (EoL) of intralogistics systems at an early stage and to identify and evaluate appropriate courses of action. To this end, conditions triggering EoL (e.g., rising failure rates, performance decline, end of manufacturer support) are systematically identified, and measures such as repair, continued operation, or retrofitting are evaluated in a comparable manner. Additionally, we are investigating which EoL conditions can be predicted using operational data. The goal of the research project is to design a practical tool to evaluate EoL conditions of individual intralogistics systems and recommend targeted measures to users.
Your tasks
- Literature review on intralogistics systems (ILS) and application-specific end-of-life (EoL) conditions
- Derivation of action plans for when EoL conditions arise
- Development of an evaluation methodology for action plans in the event of an EoL condition
- Development of a user tool for classifying and evaluating EoL conditions
- Identification, preparation, and application of forecasting techniques to predict EoL conditions (AI/mathematical-statistical methods)
- Support for the industry-oriented application of research results
Your profile
You are studying one of the following subjects:
- Industrial Engineering
- Mechanical Engineering
- Logistics
- Sustainable Engineering
- or a comparable field
You are interested in intralogistics systems, their sustainable and cost-effective use, and forecasting models (traditional models/AI)
You are interested in integrating research findings into user-friendly tools.
In addition, you have a systematic, structured, and detail-oriented approach to your work.
Good written and spoken German and English skills are required for the position.
We offer
- Independent work
- Flexible hours
- Well-equipped workstations
- Work from home
- Long-term collaboration (if applicable)
- Please send your application to jobs@iph-hannover.de
