Ongeveer 20 uur geleden - Erasmus Universiteit Rotterdam - Rotterdam
Job description We are expanding our team of Business Information Management faculty members to complement our ongoing research into this increasingly …
We are looking for a highly motivated person that is interested in research on Data Science at the intersection of Data Mining, Network Analysis, and Big Data.
The successful candidate is expected
The publications form the basis of the candidate’s PhD thesis.
Theme: Model-based Anomaly Analytics in Ubiquitous and Social Interaction Networks
The goal of the MODUS project is to develop methods and approaches for detecting and analyzing anomalous patterns ("anomalies") in ubiquitous and social interaction networks. Examples of applications are investigations of the spread of information, discovering events or unusual topics in heterogeneous network data, and identification of especially interesting or outstanding behavior of actors within networks. Methods for anomaly detection and the formalization of reference models will be investigated and evaluated on synthetic and real-world data. The overall goal of the project is to improve the accuracy of anomaly detection and to increase the transparency of the computational anomaly-detection methods.
For more information on this position, please contact the principal investigator of the MODUS project: Asst.
Prof. Dr. habil. Martin Atzmueller (email@example.com, +31134664736).
Tilburg School of Humanities (TSH) verricht wetenschappelijk onderzoek en onderwijs op het vlak van de Communicatie- en Informatiewetenschappen, Filosofie, Religiewetenschappen, Taal- en Cultuurstudies en Liberal Arts and Sciences. De faculteit kent drie departementen, een aantal onderzoeksinstituten en het faculteitsbureau. Jaarlijks starten er ongeveer 275 studenten met een bachelor- of (pre)masteropleiding. In totaal heeft de faculteit ongeveer 1500 studenten en 250 medewerk(st)ers.
School and department
As of January 2018, the School of Humanities will become the School of Humanities and Digital Sciences. One of its departments, Cognitive Science & Artificial Intelligence, emphasizes innovative cutting-edge research at the nexus of cognitive science and artificial intelligence. It is affiliated with the Jheronimus Academy of Data Science (www.jads.nl). Researchers in the Cognitive Science and Artificial Intelligence track have access to computer clusters, experimental lab facilities, and the virtual and mixed reality DAF Technology Lab and its sensing technologies. Moreover, researchers play an important role in Mind Labs (www.mind-labs.eu), an initiative that fosters collaborations between knowledge institutions and corporations in the field of interactive technologies and behavior.