| Job Type | Research Assistant (PhD) |
| Extent | Full time |
| Application Deadline | 2022/05/31 |
| Status | Taken |
| Contact(s) |
Sandra Geisler |
In the areas of smart manufacturing and Industry 4.0, the speed and volume of data produced by machines has increased enormously. In many cases, the data can no longer be transmitted over the network for analysis in high-performance data centers. Therefore, new methods are needed to process and analyze the generated data streams close to their source (on the edge).
We also consider these research topics in the broader context of data ecosystems, examining important aspects such as data transparency, data quality, and data sovereignty, given the enormous need to share data between organizations.
Our Profile
The Chair of Computer Science 5 (Databases and Information Systems) at RWTH Aachen University is an internationally renowned research group and is engaged in formal analysis, prototypical development, and practical testing of information systems. Our research topics include information systems in engineering, industry 4.0, medicine, as well as database and meta-database technologies, data ecosystems, and data stream and data quality management. In the area of Data Science and Industry 4.0, the Chair of Computer Science 5 collaborates closely with the Fraunhofer Institute for Applied Information Technology FIT.
Your profile
You have completed your university studies (Master’s degree or comparable) in computer science or related fields with above-average success.
In addition you have:
- 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.s) and data modeling - knowledge of Big Data technologies and Data Science
- a high willingness to learn
- a high degree of cooperation and teamwork skills
- a high degree of independence, commitment, and initiative
Your tasks
To strengthen our interdisciplinary teams in the Cluster of Excellence “Internet of Production”, we are looking for a research assistant and PhD student, who would like to contribute to current research projects and innovative solutions in the following areas:
- Data Stream Management and Analysis
- Data Lakes
- Distributed, scalable data management with Big Data systems (Hadoop, Spark)
- Data integration and data modeling
We are looking forward to receive your applications.