Master Student: Modelling Uncertainties in The
vor 5 Monaten
Die Fraunhofer-Gesellschaft betreibt in Deutschland derzeit 76 Institute und Forschungseinrichtungen und ist die weltweit führende Organisation für anwendungsorientierte Forschung. Rund 30 000 Mitarbeitende erarbeiten das jährliche Forschungsvolumen von 2,9 Milliarden Euro.
The Fraunhofer Institute for Structural Durability and System Reliability LBF in Darmstadt works together with industry and research at a top national and international level. The institute's main research activities focus on specific issues in the areas of structural durability, system reliability, smart structures and plastics.
Automated decision-making systems have become integral to various domains, ranging from autonomous vehicles and robotics to financial trading and healthcare. However, these systems often encounter uncertainties arising from incomplete, ambiguous, or noisy data, which can compromise their reliability performance. This research aims to model uncertainties in automated decision-making based on an information fusion framework that can effectively integrate data from various heterogeneous sources. The goal is to enhance the accuracy and reliability of decision-making systems by leveraging the strengths of individual sources while compensating for their weaknesses.
**Was Du bei uns tust**
- Conduct an in-depth literature review on information fusion techniques, uncertainty quantification, and automated decision-making approaches.
- Design and implement an information fusion architecture that accommodates data from heterogeneous sources.
- Quantify uncertainties outputs of decision-making systems to assess the reliability of decisions.
- Create a dynamic and adaptive information fusion model that can adjust its fusion strategies based on the availability and quality of information.
**Was Du mitbringst**
- Bachelor’s degree in Mechatronics/Mechanical engineering/ Data Science.
- Firsthand experience in MATLAB/Python.
- English Proficiency, both spoken and written.
- Prior knowledge of data processing is desired.
**Was Du erwarten kannst**
- Opportunity to develop a career in a growing filed.
- Access to state-of-the-art research facilities and resources.
With its focus on future-relevant key technologies and on the exploitation of the results in business and industry, the Fraunhofer-Gesellschaft plays a central role in the innovation process. As a guide and stimulus for innovative developments and scientific excellence, it helps to shape our society and our future.
**Haben wir Dein Interesse geweckt? Dann bewirb Dich jetzt online mit Deinen aussagekräftigen Bewerbungsunterlagen. Wir freuen uns darauf, Dich kennenzulernen**
Fraunhofer-Institut für Betriebsfestigkeit und Systemzuverlässigkeit LBF
Kennziffer: 68019 Bewerbungsfrist:
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