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  3. PhD Project: Statistical Modeling of Dynamic Social Networks (1.0 FTE)

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PhD Project: Statistical Modeling of Dynamic Social Networks (1.0 FTE)

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.

2 maanden geleden

Arbeidsvoorwaarden

Standplaats:
Warandelaan, Tilburg, Noord-Brabant
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
40 - 40 uur
Salarisindicatie:
€ 2325 - € 2972 per maand
Opleidingsniveau:
WO

Functieomschrijving

The department Methodology and Statistics has a vacancy for a

PhD Project: Statistical Modeling of Dynamic Social Networks

Background:
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.

Project:
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).

Functie-eisen

Candidates (PhD):
We are looking for a strong PhD candidate with a technical background in (mathematical) statistics, 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.

Conditions

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.