Open Positions for fully funded PhD students/PostDoc researchers in the areas of KR (Forgetting in Ontologies), Knowledge Graphs, Text Mining

Join a kind, dedicated, mid-size team of 18 women and men from 8 nationalities:

Open Positions as Researchers (PhD Student or PostDoc)

The first application deadline is April 30, 2019, but applications will be considered until positions are filled.

Position 1: Knowledge Representation - Changes in Ontologies

The position is part of the interdisciplinary DFG-funded project "EVOWIPE - Explicit Forgetting of Ontology-based Knowledge in Product Development" <http://west.uni-koblenz.de/en/research/evowipe> which belongs to the DFG priority programme "Intentional Forgetting in Organisations <http://www.spp1921.de/>". We are working with colleagues in mechanical engineering and have already received an outstanding paper award <https://west.uni-koblenz.de/news/evowipe-paper-received-reviewers-favorite-recognition> for our research. The aim of the project is to develop methods for the implementation of changes on ontology-based knowledge bases and the application of these methods in product development in mechanical engineering. The position is available as of now and time-limited to 21 months. We plan to extend the project beyond this initial phase. The possibility of acquiring a Ph.D. is given. The official job advertisement can be found here: 

https://www.uni-koblenz-landau.de/de/uni/organisation/stellen/stellenarchiv/archiv-ordner/ko212019 <https://www.uni-koblenz-landau.de/de/uni/organisation/stellen/stellenarchiv/archiv-ordner/ko212019>.

Position 2 and 3: Semantic Web, Knowledge Representation, Machine Learning, Text Mining, Eye Tracking

These two positions are research and teaching assistantships provided by Universität Koblenz-Landau. We look for PhD students or PostDocs to strengthen our research team in one of the areas mentioned and assist with undergraduate and graduate teaching. The official job advertisements for PostDocs/PhD students can be found here: 

https://www.uni-koblenz-landau.de/de/uni/organisation/stellen/stellenarchiv/archiv-ordner/352019 <https://www.uni-koblenz-landau.de/de/uni/organisation/stellen/stellenarchiv/archiv-ordner/352019>, 

https://www.uni-koblenz-landau.de/de/uni/organisation/stellen/stellenarchiv/archiv-ordner/362019 <https://www.uni-koblenz-landau.de/de/uni/organisation/stellen/stellenarchiv/archiv-ordner/362019>
Requirements

We are looking for researchers with a very good master's degree or doctorate from a University (or equivalent). Eligible applicants are interested in many scientific domains, gladly collaborate with colleagues from other scientific disciplines, and can precisely identify and carefully solve computer science-related issues with their well-grounded programming capabilities.

In addition, applicants for position 1 should have interest and initial experience in the field of formal logic. Ideally, you have experience in the creation and use of ontologies as well as knowledge of different description logics. Suitable applicants for positions 2 and 3 should have some experience in the target area in which they want to undertake research.

Application Procedure

Please apply by sending an e-mail with a single PDF file containing at least motivation letter, CV, and scans of transcripts as indicated below. Questions about the application process can be addressed to west@uni-koblenz.de <mailto:west@uni-koblenz.de?subject=Your%20job%20offerings%20in%20machine%20learning%20and%20data%20mining>.         

position 1: Please e-mail to bewerbung-k21@uni-koblenz-landau.de <mailto:bewerbung-k21@uni-koblenz-landau.de>. Your mail must mention the reference number Ko 21-2019.      position 2 and 3: Please e-mail to bewerbung@uni-koblenz-landau.de <mailto:bewerbung@uni-koblenz-landau.de>. Your mail must mention the reference number 35/2019 or 36/2019, respectively.         
About Us

Contact Prof. Staab for further questions or initial inquiries at <lastname>@uni-koblenz.de

https://west.uni-koblenz.de/en <https://west.uni-koblenz.de/en>

Received on Monday, 25 March 2019 10:47:29 UTC