We are offering five full-time researcher positions in various fields like Machine Learning, Data Mining and Ontology Reasoning.
Position 1: E-Democracy & Web Mining
The position belongs to an interdisciplinary research focus „E-Democracy“ at the University of Koblenz-Landau. We aim to understand how the internet affects democracy, how one can support democracy through digitisation, and how one can detect misinformation and violence in political online discourses. More details at http://west.uni-koblenz.de/en/research/e-democracy . The position is available as of now and time-limited to two years. As a project manager, you will coordinate the research project and actively communicate project results to science and the public. The possibility of habilitation is given. The official job advertisement can be found here: http://www.uni-koblenz-landau.de/de/uni/organisation/stellen/stellenarchiv/archiv-ordner/178-2017.pdf.
Position 2: Changes in Ontologies
The position is part of the interdisciplinary DFG-funded project "EVOWIPE - Explicit Forgetting of Ontology-based Knowledge in Product Development" which belongs to the DFG priority programme "Intentional Forgetting in Organisations". 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 two years. The possibility of acquiring a PhD is given. The official job advertisement can be found here: http://www.uni-koblenz-landau.de/de/uni/organisation/stellen/stellenarchiv/archiv-ordner/ko462017
Position 3: Research and teaching in the field of Web and Data Science
The position involves teaching in the international Web and Data Science Master's program. Furthermore, you will be the technical contact person for applicants and students of this programme. In addition to that you will conducts research in one of the areas of machine learning, understanding natural language or semantic web. The possibility of acquiring a PhD is given. The official job advertisement can be found here: https://www.uni-koblenz-landau.de/de/uni/organisation/stellen/stellenarchiv/archiv-ordner/203-2017.pdf
Position 4 and 5: Language-integrated Semantic Querying
Both positions belong to the DFG-funded project LISeQ - Language-integrated Semantic Querying. This project deals with type safety of semantic SPARQL queries on ontologies and their integration into functional programming languages. One position focuses on research questions of the Semantic Web, Ontology Reasoning and Query Entailment. In particular, the focus lies on epistemic reasoning as well as query subsumption, typing of queries and approximating the runtime behavior of queries in the presence of background knowledge. The other position focuses on Software Language Engineering. In particular, on the extension of programming languages, type inference as well as parametric and ad-hoc polymorphism in programs that work with semantic data. The possibility of acquiring a PhD is given. The official job advertisement can be found here: https://www.uni-koblenz-landau.de/de/uni/organisation/stellen/stellenarchiv/archiv-ordner/ko532017
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.
- applicants for position 1 should have a very good doctorate from a University (or equivalent). Ideally, you have experience in text and data mining, information extraction, computer linguistics or computational social science. Suitable candidates are interested in a wide range of subjects and enjoy working with colleagues from e-government, political science and psychology, but can also identify the scientific IT problems in the cooperation of these areas precisely and solve them carefully with their own programming skills.
- Applicants for position 2 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 position 3 are open-minded and communicative, scientifically curious, interested in a wide range of subjects such as machine learning, understanding natural language and semantic web.
Ideally, applicants for positions 4 and 5 should have some experience in functional progarmming and basic knowledge about ontologies.
Please apply online via https://west.uni-koblenz.de/en/app using one of the following reference numbers:
Questions about the application process can be addressed to email@example.com.
- position 1: reference number 178/2017
- position 2: reference number Ko 46/2017
- position 3: reference number 203/2017
- position 4 and 5: 53/2017
Web Science investigates how the technical structure of the Web affects the activities of its 3.5 billion users and how their manifold interactions stimulate the Web’s technical advancement in return. Founded in 2009, the Institute for Web Science and Technologies (WeST) combines expertise in research and development in computer science, the social sciences, and economy. The institute is part of the computer science faculty, located at the campus in Koblenz at the University of Koblenz-Landau.
We offer a creative, versatile, internationally renowned research environment. We support your scientific curiosity and your doctorate or habilitation. We offer a new campus with an excellent IT infrastructure in one of the most livable cities in Germany.
Das Institut WeST sucht häufiger nach talentierten Hilfskräften, die mehr als ein Semester lang als Studierende im Fachbereich Informatik unserer Universität eingeschrieben sind. Wir bieten Positionen sowohl in der Forschung als auch in der Lehre und bieten die Möglichkeit, Teil eines eingespielten Teams zu werden.
Falls Sie an einer Stelle als studentische Hilfskraft interessiert sind und mindestens im zweiten Semester sind, wenden Sie sich mit einer Beschreibung Ihrer Interessengebiete und Fähigkeiten und einem Lebenslauf an firstname.lastname@example.org.