Zurich University of Applied Sciences ZHAW is one of Switzerland’s largest multidisciplinary universities of applied sciences, with over 13,000 students and 3,000 faculty and staff.
As one of the leading Engineering Faculties in Switzerland, the ZHAW School of Engineering emphasises topics which will be relevant in the future. Our 13 institutes and centres guarantee superior-quality education, research and development with a focus on the areas of energy, mobility, information and health.
Since 2013 the Institute of Applied Information Technology has teamed up with five other institutes from three departments to establish one of the first interdisciplinary Data Science Centers in Europe – the ZHAW Datalab (www.zhaw.ch/datalab). Within the Research Group Information Engineering of the Institute of Applied Information Technology, we are looking for a highly motivated and excellent candidate as:
Researcher in Machine Learning-Based Knowledge Graph Construction (EU-Project INODE)
It's a three-years project and the position is limited to the project duration.
- Contribute to research projects in the area of automatic knowledge graph construction on unstructured and structured data
- Become an expert in applying both classical information processing methods as well as novel machine learning technology for information extraction and knowledge graph construction
- Establish a strong research track record as well as a successful footprint in technology transfer
The successful candidate has completed a Master’s degree in computer science, a Ph.D. is a plus. She or he must have prior exposure to and strong interest in the fields of databases and information retrieval. We expect a good command as well as a passion for programming. Good communication skills in English are ssential; a good command of German is a strong plus. The ideal candidate is passionate about identifying unsolved problems as well as proposing novel ideas for future activities. Particular emphasis is on developing prototypes, experimenting hands-on with data, scientific evaluation and publication of results.
We offer a competitive, technically stimulating, and exciting environment as part of the EU-Project INODE which has a consortium of 9 partners all over Europe. A major responsibility is to advance the research agenda at the intersection of databases, natural language processing and machine learning. The candidate will have the opportunity to establish partnerships with industry, acquire funding for collaborative research, and to transfer research solutions to enterprise environments. The position will also involve contributing to open source software and presenting results at scientific and industrial conferences. In addition to offering an excellent working environment, we provide intellectual liberty and competitive compensation based on Swiss standards at one of the leading houses for data science research in Switzerland.