RESEARCH FIELDCultural studies
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE26/06/2019 00:00 - Europe/Brussels
LOCATIONNetherlands › Tilburg
TYPE OF CONTRACTTemporary
HOURS PER WEEK40.0
Relational event (social network) history data are becoming increasingly available due to technological developments (e.g., email, sociometric badges). These data contain precise information about who was interacting with whom and at what point in time. This new type of data has the potential to greatly contribute to our understanding of dynamic social networks by providing new insights about speed, rhythm, duration, and lag in social interactions. However a crucial problem is that statistical tools for analyzing such data are currently underdeveloped.
The goal of this project is to develop novel (Bayesian) statistical methods for analyzing these time-stamped relational data. Methods need to be developed for fitting dynamic relational event models, and for testing the fit of these models. Moreover, efficient algorithms must be developed that allows users to apply these models to real-life data with ease. Finally, the methods will be used to answer substantive research questions on dynamic social networks. The project will be supervised by Dr. Ir. Joris Mulder (Dept. of Methodology & Statistics) and Prof. dr. Roger Leenders (Dept. of Organization Studies).
Tilburg University is among the top Dutch employers and has an excellent policy concerning terms of employment. The collective employment terms and conditions for Dutch universities apply. The PhD appointment starts off with a 12 month contract and will be extended for the remaining project period (36 months) under the condition of a good first year evaluation. We offer a gross salary of € 2,325 per month in the first year up to € 2,972 in the fourth year. Furthermore an attractive package of benefits, including, sports facilities, an 8% holiday allowance and an 8.3% end-of-year allowance. If applicable we can apply for the 30% tax regulation.
Applicants should send their CV and a cover letter only by the application link mentioned below. The closing date for applications is June 25, 2019.
Additional information about the content of the research subject can be obtained from dr.ir. Joris Mulder: email@example.com. For further questions regarding the application procedure, please contact HR firstname.lastname@example.org.
Web site for additional job details
We are looking for a strong PhD candidate with a technical background in (mathematical) statistics, data science, biostatistics, econometrics, or the like, and a strong interest in (Bayesian) dynamic social network models. Candidates with a social science background with strong quantitative skills are also encouraged to apply. Finally, programming skills (in R, Matlab, Python, Java, C++ or otherwise) are necessary.
EURAXESS offer ID: 394893
Posting organisation offer ID: 53761
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