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RWTH Aachen
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HiWi Position in for Big Data Project

Job type HiWi
Extent 10-15h
Status Closed
Deadline 15. Apr 2016
Contact Dr. Sandra Geisler
Contact Prof. Dr. Christoph Quix
Contact M.Eng. Rihan Hai

Complex innovations in medical engineering are not possible without collaborative co-operations today. However, the assembly of suitable experts is usually left to the initiating innovators themselves or fortuity. To tackle this problem, a new inte-grative competence model of medical engineering based on data mining algorithms has been developed by the institute of Applied Medical Engineering (AME). It identi-fies and proposes suitable actors based on published texts for a given project by matching experts from medical, technological and product-related fields to the project.

Specifically, the product-related dimension of the approach faces the problem of the correct assignment of patents (and the corresponding inventors) to designated competence fields in medical engineering. In the Pat-2-medTIM project we try to tackle this challenge by two different but complementary ways: on the one hand, a relation between infor-mation from medical products and patents is searched for, because medical prod-ucts are easily assignable to competence fields and hence, the related patents are assignable to competence fields. On the other hand, we try to find publications of the patent innovators related to the project topics which are more easily assignable to competence fields than the patents themselves. At the chair of Information Systems we will focus on the latter approach.

We built up a Data Lake system which enables data ingestion and querying of data required for the project. It comprises a complex system architecture based on NoSQL technologies. The main task of this Hiwi job is the advancement and maintenance of the system environment. This task requires expertise from the fields of software engineering (Java/C#), database & system administration, and data modeling.

For more information, see the following attachment:

HiWi_20160321.pdf — PDF document, 185Kb

Prerequisites

  • Good knowledge about and experience with Relational Databases.
  • Excellent programming and software design skills, especially in Java.
  • Optimal: Experience with Big Data platforms and tools, such as Hadoop, Spark, Hive, Cassandra, MongoDB.

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