PhD: Advancing Methods for Digital Health Interventions

KU Leuven; Belgique; On-site; EUR 26,000 - 36,000; Full time

Job summary

KU Leuven in Belgium is offering a PhD student position within the eMotion program. You will work on data from VR-based EMI interventions for amotivation in psychosis, focusing on advanced statistical methods and MRT-driven EMI design.

The role involves analyzing ESM data, developing new quantitative methods, and publishing in international journals, collaborating with clinical and statistical researchers in a multidisciplinary team.

Qualifications

• Master's degree in psychology or related discipline and strong research interest.
• Solid experience with quantitative research methods and statistics.
• Experience with the Experience Sampling Method is desirable.
• Commitment to open science practices and proficient in English (C1).

Responsibilities

• Apply quantitative methods to analyze ESM data.
• Develop novel quantitative methods to construct EMIs and advance EMI-VR integration using MRTs.
• Write papers for publication in international peer-reviewed journals.
• Collaborate with researchers across ESM methodology, psychosis, and digital mental health lines.

Skills

Quantitative methods

Statistical analysis

English proficiency

Education

Master's degree in psychology or related discipline

Job description

KU Leuven in Belgium is offering a PhD student position within the eMotion program. You will work on data from VR-based EMI interventions for amotivation in psychosis, focusing on advanced statistical methods and MRT-driven EMI design.

The role involves analyzing ESM data, developing new quantitative methods, and publishing in international journals, collaborating with clinical and statistical researchers in a multidisciplinary team.