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Senior Researcher (PostDoc) in Machine Learning-Based Query Optimization for Graph Databases

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 (SOE) emphasises topics which will be relevant in the future. Our 13 institutes and centers 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 (INIT) 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 (www.zhaw.ch/init), we are looking for a highly motivated and excellent candidate as: Senior Researcher (PostDoc) in Machine Learning-Based Query Optimization for Graph Databases

Senior Researcher (PostDoc) in Machine Learning-Based Query Optimization for Graph Databases

Your responsibilities:

  • Contribute to research projects in the area of machine learning-based query optimization for relational databases and graph databases (RDF triple stores)
  • Collaborate with and guide researchers at Zurich University of Applied Sciences, University of Konstanz and ETH Zurich
  • Establish a strong research track record as well as a successful footprint in technology transfer

The successful candidate has completed a PhD degree in computer science (either in databases or machine learning). The person must have a strong track record in the fields of relational databases, graph databases and machine learning. We expect a good command as well as a passion for programming. Good communication skills in English are essential; 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 joint project called “GraphQueryML: Machine Learning-Based Query Optimization for Graph Databases”, which is a collaboration between Zurich University of Applied Sciences, University of Konstanz and ETH Zurich. The position is for a duration of 3 years. A major responsibility is to advance the research agenda at the intersection of database research and machine learning – in particular how to advance query optimization techniques which are often considered as the “brain” of a database.

The candidate will have the opportunity to establish partnerships with industry 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. ZHAW offers its employees a flexible annual working time model and places for children and infants in supervised day care centres.

Do you have any questions about this position?
For additional information, please contact Prof. Dr. Kurt Stockinger, phone +41 58 934 49 79, e-mail Kurt.Stockinger@zhaw.ch).

Are you interested?
If you would like to apply, please use the online platform to send your full application until December 15, 2020, attn. Sarah Stüdli, Recruiting Manager in Winterthur. Please be advised that we only consider applications via our online-platform and not by mail or by e-mail.

2020-10-16
ZHAW Zürcher Hochschule für Angewandte Wissenschaften
Winterthur