PHD position available at the Max Planck Institute for Mathematics in the Sciences (MPI MiS)
UPDATE: this position has now been filled, thank you for your interest.
PhD position in the research group of Jürgen Jost is available at the Max Planck Institute for Mathematics in the Sciences (MPI MiS) (www.mis.mpg.de/jjost/research.html), to work in the collaborative EU project “The Collective Experience of Empathic Data Systems” (CEEDs).
The project will develop novel, integrated technologies to support human experience, analysis and understanding of very large datasets.
Making use of humans’ implicit processing abilities CEEDs will develop innovative tools to exploit theories showing that discovery is the identification of patterns in complex data sets by the implicit information processing capabilities of the human brain. Implicit human responses will be identified by the CEEDs system’s analysis of its sensing systems, tuned to users’ bio-signals and non-verbal behaviours. By associating these implicit responses with different features of massive datasets, the CEEDs system will guide users’ discovery of patterns and meaning within the datasets.
The MPI MiS group will be involved on the one hand side in the development and implementation of the methods for data mining and pattern detection and on the other hand in the development of theoretical and computational models of humans information processing.
A central topic of the PhD work will be “adaptive sampling”. We think that “adaptive sampling” (e.g. maximizing the information gain) could be a paradigm for both the data discovery by the CEEDs agent and for modelling the user.
The successful candidate will join a highly interdisciplinary group working on different aspects of complex systems, including complex networks and graph theory, dynamical systems theory, information theory, time series analysis and statistics. Applicants must have a diploma or master degree in a relevant field such as Computer Science, Mathematics, Physics, Cognitive Sciences, Neuroscience, Bioinformatics, or in a related field. Expertise in statistics, data mining, or modelling of cognitive systems is highly welcome.
The Max Planck Society is committed to employing more handicapped individuals and especially encourages them to apply. The Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.
Please include a cover letter with a brief description of your research interests, curriculum vitae (including examination results), and two letters of recommendation by academic teachers, in sealed envelopes or to be sent directly.