For more information please contact Prof. dr. Peter Kuppens, tel.: +32 16 32 61 08, 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 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.
Smartphones are ubiquitous in today’s society and harvest a wealth of information about people’s behavior. At the same time, 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 mobile sensing data (data about people’s behavior that can automatically be collected by smartphones) to predict people’s mood states and their risk for mood disorder. The planned research consists of the combination of experience sampling methods and mobile sensing data in both clinical and non-clinical populations. The research will be in collaboration with the engineering department at KU Leuven and the Center for Digital Mental Health at the University of Oregon (https://www.c4dmh.net/).
The applicant must have a Master’s degree in computer science, software engineering, or behavioral sciences with strong computer science knowledge. The applicant must have excellent English communication and writing skills, and prior experience with computer programming. Preferably, the candidate has prior experience in machine learning or data science, and has a strong interest in applying this to the behavioral and mental health domain. 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.