Semantische Suche

Your tasks: The research assistants will support the scientific staff of the Information Service Engineering (ISE) research group headed by Prof. Dr. Harald Sack working on large open Knowledge Graphs in tasks like data analysis, knowledge modeling, data cleaning, and knowledge mining.

Personal qualification:

• We are looking for highly motivated students (Bachelor or Master level) in computer science, industrial engineering, information sciences or similar, preferably at the Karlsruhe Institute of Technology ( KIT )
• Knowledge and experience in the development of software applications, preferably in Python and/or Java
• Basic knowledge of Natural Language Processing (NLP), Linked Data Engineering, Information Retrieval and/or Data Science
• Basic knowledge in the use of knowledge graphs, such as DBpedia or Wikidata
• Ability to quickly learn new topics and tasks
• Sufficient language skills in English to work in an international team

The payment is based on the rates of the state of Baden-Württemberg for academic assistants. The employment is temporary.

The research assistants will support the scientific staff of the Information Service Engineering (ISE) research group working on large open knowledge graphs [1,2] in tasks like data analysis, knowledge modeling, data cleaning, and knowledge mining. [1] http://wiki.dbpedia.org/ [2] https://www.wikidata.org/ Personal qualification: • We are looking for students (Bachelor or Master level) in computer science, industrial engineering, information sciences or similar, preferably at the Karlsruhe Institute of Technology ( KIT ) • Knowledge and experience in the development of software applications, preferably in Python and/or Java • Basic knowledge of Natural Language Processing (NLP), Linked Data Engineering, Information Retrieval and/or Data Science • Basic knowledge in the use of knowledge graphs, such as DBpedia or Wikidata • Ability to quickly familiarize yourself with new topics and tasks

The task: Help us develop (or advance) tools aimed at solving certain tasks related to Wikipedia. These include for example the accurate detection of authorship and other, data and knowledge mining related tasks. A big advantage is that we are working closely together with Wikimedia Germany and the tools you help to build will most likely be used on a larger scale and have some impact. Also, this job offers superb opportunities to publish and/or develop a final thesis out of this.

We need a short mail with a description why you consider yourself fitting for the job as well as a meaningful CV (especially covering coding experience). Work samples are not necessary but helpful. Everything else will be discussed in person.

Contact: fabian.floeck@kit.edu

The research assistants will support the scientific staff of the Information Service Engineering (ISE) research group working on large open knowledge graphs [1,2] in tasks like data analysis, knowledge modeling, data cleaning, and knowledge mining. [1] http://wiki.dbpedia.org/ [2] https://www.wikidata.org/ Personal qualification: • We are looking for students (Bachelor or Master level) in computer science, industrial engineering, information sciences or similar, preferably at the Karlsruhe Institute of Technology ( KIT ) • Knowledge and experience in the development of software applications, preferably in Python and/or Java • Basic knowledge of Natural Language Processing (NLP), Linked Data Engineering, Information Retrieval and/or Data Science • Basic knowledge in the use of knowledge graphs, such as DBpedia or Wikidata • Ability to quickly familiarize yourself with new topics and tasks • Sufficient language skills in English to work in an international team The payment is based on the rates of the state of Baden-Württemberg for academic assistants. The employment is temporary. Please send your detailed application documents in by e-mail to: • Prof. Dr. Harald Sack (harald.sack@fiz-karlsruhe.de or harald.sack@kit.edu )