PhD position: PUTTING AFFECTIVE DYNAMICS INTO CONTEXT

23 May 2019

Get in touch!

Interested?

For more information please contact Prof. dr. Eva Ceulemans, tel.: +32 16 32 58 81, mail: eva.ceulemans@kuleuven.be.
Interested applicants can apply online, providing a motivation letter, full CV (including a detailed transcript of university study results), and the names and contact information of at least two references.

You can apply for this job no later than June 23, 2019 via the online application tool
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.

Apply before 23 June 2019

The successful candidate will work in the Research Group of Quantitative Psychology and Individual Differences under the supervision of Eva Ceulemans, Janne Adolf and Peter Kuppens. The group offers an international, productive, collaborative, and interactive environment with about 6 faculty and 26 graduate and postgraduate students. 

The University of Leuven is a research-oriented institution and is consistently ranked among the top research universities in Europe. Leuven is one of the oldest university towns in Europe, about 30 km from Brussels. It has a rich history and a unique friendly atmosphere.

Website unit

Project

Affective phenomena are often conceptualized as continuously changing processes and studied by means of time series modeling. Little is known, however, on how a person’s affective processes interact with changes in contexts. The goal of this project is to obtain more accurate descriptions of affective processes, by innovative approaches that allow time series models to be time-varying and dependent on changes in contexts. These approaches will be applied to existing intense longitudinal affect data. At the same time, attention will be paid to designing future longitudinal studies (e.g., their sampling scheme) such that the models can be estimated optimally. 

Profile

The applicant must have a Master's degree in behavioral sciences, (bio)statistics, econometrics, or related fields, and have excellent English communication and writing skills. Preferably, the candidate has prior experience with time series modeling or structural equation modeling and R or Matlab. The position requires enrollment in the PhD-program of the Faculty of Psychology and Educational Sciences. 

Offer

We offer encouraging daily guidance, excellent research facilities, conference/travel budget, and a competitive salary with various additional benefits (in terms of holidays, health insurance, transport costs). A PhD position is offered for an initial year, renewable for up to 4 years, and is expected to result in the completion of a PhD. The starting date is October 1st 2019 or as soon as possible thereafter.