For more information please contact Prof. dr. Eva Ceulemans, tel.: +32 16 32 58 81, mail: email@example.com.
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.
The successful candidate will work in the Research Group of Quantitative Psychology and Individual Differences under the supervision of Eva Ceulemans and Francis Tuerlinckx. 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.
Mood disorders are highly prevalent and incur a large cost for individuals, their social environment, and society. The aim of this project is to study the potential of statistical process control techniques for the online detection of early warning signals of such mood disorders in data that are continuously harvested. The planned research involves the development and evaluation of new statistical process control techniques for affective data as well as the analysis of available experience sampling data of both clinical and non-clinical populations. The research will be in collaboration with the biosystems department of the faculty of bioscience engineering at KU Leuven.
The applicant must have a Master's degree in (bio)statistics, (bioscience) engineering, behavioral sciences, or related fields, and have excellent English communication and writing skills. Preferably, the candidate has prior experience with time series analysis and R or Matlab. The position requires enrollment in the PhD-program of the Faculty of Psychology and Educational Sciences.
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.