PhD in Statistics: Functional Data & Time-Varying Networks

Laplace Expert Ltd; Eindhoven; Hybrid; EUR 36,000 - 45,000; Full time

Job summary

Eindhoven University of Technology in the Netherlands is seeking a PhD candidate in statistics to study functional data, time-varying networks and structural changes. The project develops methodology for functional time series and networks, with emphasis on non-Euclidean data structures.

The position is 4 years full-time, with funding of EUR 3204-4051 per month and is based in the SPOR group of the Department of Mathematics and Computer Science.

Qualifications

• MSc in statistics, mathematics, econometrics or a closely related quantitative field is required.
• Background in time-series analysis or functional data analysis is advantageous.
• Strong statistical computing skills with R and Python are expected.

Skills

Time-series analysis

Functional data analysis

Statistical computing

R

Python

C++

Education

MSc in statistics, mathematics, econometrics or related quantitative field

Tools

R

Python

C++

Job description

Eindhoven University of Technology in the Netherlands is seeking a PhD candidate in statistics to study functional data, time-varying networks and structural changes. The project develops methodology for functional time series and networks, with emphasis on non-Euclidean data structures.

The position is 4 years full-time, with funding of EUR 3204-4051 per month and is based in the SPOR group of the Department of Mathematics and Computer Science.