Post-Doctoral or Graduate Student Position in Information Visualization
Visualization is said to be one of two factors responsible for the successful development of a scientific field; the second is measurement. Information visualization is a core component of computational social science, big data analysis, and in particular, network analysis. Working with diagrams and sociograms enables researchers as well as users of research (e.g. in educative contexts or decision-making) to draw conclusions that would otherwise not be possible. The synaesthetic power of visualization technologies allows for a topological perspective, even multiple perspectives on a given relational configuration. Furthermore the combination of geographic and social data calls for new modes of visual analytics. However, the limits of explanatory power in visualizations also need to be reflected in the process of developing scientifically sound visualization principles.
The Professorship of Computational Social Science & Big Data (Jürgen Pfeffer) at Technical University of Munich is hiring a post-doctoral or graduate student researcher for working on computational methods of information visualization. This position offers the possibility to further develop skills in computational visualization methodology and also in social scientific methodology, both of which are closely intertwined as visual analytics. The candidate should bring experience in academic writing and project-based work; non-academic experience is also welcome. The focus of this position will be on basic research related to visual communication of information. The goal is to publish papers in journals and peer-reviewed conferences.
Appointment for Post-Doctoral Researcher. Appointment is for two-year term. Extension is possible.
Appointment for Graduate Student Researcher. Appointment is for three-year term. Graduate students will be able to finish their Ph.D. within this time period. Depending on previous degrees and focus of work, enrollment in a social science or a computer science Ph.D. program is possible. Master’s degree (or equivalent) in a related field is a pre-condition.
Affiliation. The Technical University of Munich (TUM) is the number one university in Germany and is listed in the world’s top 50 in the Shanghai Ranking. The Professorship of Computational Social Science & Big Data in the Bavarian School of Public Policy at TUM is at the intersection of Computer Science and Social Science, focusing on analyzing the structure and dynamics of large-scale social, political, and technical systems with a special emphasis on algorithmic, theoretical, and methodological challenges arising from analyzing such systems.
Teaching. During the academic year, the incoming researcher is expected to spend 5 teaching units (45 minutes each) per week, with the teaching being mainly in the context of lab classes related to empirical methods for social scientists.
Application. Please send your application with résumé, research statement, and at least one of your visualizations to [log in to unmask] Deadline: The initial review date is October 30, 2016. Position will remain open until filled.
Professor of Computational Social Science & Big Data
Technical University of Munich / Bavarian School of Public Policy