Bourses de doctorat entièrement financées dans le domaine de la gestion avancée des données, Université de Bâle, Suisse.

 

 

 

 

 

 

Context: Polypheny is a novel and innovative multi-model database system following the concept of an advanced polystore system. It integrates several data models (relational, graph, document) and query languages and provides polyglot access to heterogeneous data stores. It is embedded into the Polypheny-DDI (Distributed Data Infrastructure) project that focuses on providing support for Data Science applications and that is founded by the Swiss National Science Foundation.

Your assignments

Research and prototype development in one of the areas listed below; contribution to teaching and university self-administration.

Your profile

  • MSc degree in Computer science or related discipline, experience in software development
  • Interest in scientific work for pursuing a PhD in one of the following topics:
    • Multi-model data management
    • Data streams
    • Temporal and multi-version data management
    • Multimedia data management and retrieval
  • You have theoretical and practical experience in at least one of the following areas, ranging from conceptual analysis of systems up to the contribution to the development of software systems:
    • Databases
    • Multimedia data management
    • Information retrieval
  • Good level of both English (mandatory). German language skills are not mandatory, but welcome.
  • Ability to work in a team

You are committed to open source software development.

The contribution to the Polypheny software stack during the application process is not mandatory, but a plus.

Application / Contact

Candidates should submit their application including a motivation letter, CV, all relevant documents (MSc diploma, transcript of records), the name of at least one referee, a summary of their software development experience and, if available, their github handle via our online recruiting platform (see button below). If you have any questions, please contact Prof. Heiko Schuldt at [email protected].

Application process

Date limite : 30 April 2023