Student Assistant positions: Mobile Middleware Systems for Distributed Social Mining

The work will be pursued in the context of the NervousNet project. The goal of the project is to build a “Planetary Nervous System“, i.e. an open distributed participatory platform to provide collective measurements and social mining services as a public good. As a student assistant working in this project, you are expected to design and engineer novel mechanisms for data collection, data management and communication among mobile devices and embedded systems. Some of the challenges concern privacy, data quality, performance and decentralization. 

The ideal candidate would have exceptional Java/C++ programming skills for mobile system programming and application development (Android, iOS). Moreover, good knowledge on distributed systems, computer networks and data structures are desired. Experience in designing and developing user interfaces is a plus. As a student assistant in the Compuational Social Science group of Prof. Dirk Helbing, you will be working in a highly interdisciplinary and international research environment.