Job Type | Research Assistant (PhD) |
Extent | Full time |
Application Deadline | 2022/09/15 |
Status | Taken |
Contact(s) |
Sandra Geisler |
Our Profile
The Data Stream Management and Analysis research group at RWTH Aachen University is engaged in researching and prototyping new architectures and methods for processing and analyzing data streams. We also consider these research topics in the broader context of data ecosystems and investigate important aspects such as data quality, data transparency, and data sovereignty. The group works across disciplines, but particularly in the application areas of smart manufacturing, industry 4.0, and health. The research group is collocated with the Chair of Computer Science 5 and works closely with the Fraunhofer Institute for Applied Information Technology FIT.
Your Profile
- good programming and system knowledge
- very good knowledge of various database technologies (especially NoSQL technologies, e.g. graph-based or document-oriented systems, data stream processors, e.g. Apache Kafka or Apache Storm) and data modeling.
- knowledge of Big Data technologies and Data Science
- a high willingness to learn
- a high level of cooperation and teamwork skills
- a high degree of independence, commitment and initiative
Your Tasks
To support our interdisciplinary teams, we are looking for a research associate (PhD student) who would like to contribute to current research projects and innovative solutions in the following areas:
- Data ecosystems, data sharing and data sovereignty, specifically in the area of Industry 4.0.
- Big Data architectures and systems
- Data quality management and metadata management
- Data integration and data modeling
- Semantic modeling and standardization
Supporting us in teaching is also expected.
We look forward to receiving your application!