Post-doc: Lead methodological/statistical -scale project: Digital interventions
Listed on 2026-02-14
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Research/Development
Research Scientist, Data Scientist, Clinical Research
Location: Town of Belgium
Organisation/Company KU Leuven Research Field Psychological sciences » Psychology Researcher Profile Recognised Researcher (R2) Final date to receive applications 28 Feb 2026 - 22:59 (UTC) Country Belgium Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?
No
Post doc:
Leading the methodological and statistical development at the core of a large‑scale, innovative project to create new digital interventions for the negative symptoms of psychosis
Join our interdisciplinary team at the Center for Contextual Psychiatry (CCP) and the Methodology of Educational Science Research Group (CMPO) at KU Leuven, one of Europe’s most renowned research universities. The CCP, housed within the Department of Neurosciences in the School of Medicine, is an internationally leading research center specializing in Experience Sampling Methodology (ESM) in mental health research. Under the leadership of Prof.
Inez Myin‑Germeys, the CCP brings together a vibrant group of 25 researchers from diverse backgrounds and is widely recognized for its expertise in designing, implementing, and analyzing experimental studies and clinical trials. The CMPO, part of the Faculty of Psychology and Educational Sciences, is internationally recognized for its expertise in advanced statistical modeling and research methodology, encompassing both quantitative and qualitative approaches.
Prof. Ginette Lafit leads innovative work to advance quantitative methods in ESM study design and drives methodological innovation in intensive longitudinal research. You will join the Methusalem program, an ambitious long-term research initiative dedicated to developing new interventions for the negative symptoms of psychosis. As one of the senior researchers in this program, you will play a pivotal role in shaping the future of mental health care by leading advanced methodological and statistical work to develop a novel digital intervention for the treatment of negative symptoms of psychosis—one of the most challenging areas of psychiatric care.
Unit website.
This research program combines Virtual Reality (VR) and the Experience Sampling Method (ESM) to study approach-avoidance processes underlying amotivation, a core negative symptom of psychosis. A key innovation is the development of personalized treatment integrating Ecological Momentary Interventions (EMIs) with VR. As a Postdoctoral Researcher, you will lead the program’s methodological and statistical development, including the creation of gold-standard ESM items and advanced analytical approaches for intensive longitudinal data.
You will also develop methodological standards and clinical trial designs to study the effectiveness of next-generation digital interventions combining EMIs with VR. Your work will be pivotal for establishing the efficacy and clinical significance of the combined EMI-VR approach for treating negative symptoms in young people with psychosis, creating a framework that accelerates testing and evaluation in the rapidly evolving field of digital mental health.
Responsibilities
- Lead the methodological and statistical development of the project, including psychometric evaluation of ESM items, intensive longitudinal data analysis, and innovative clinical trial designs for digital interventions.
- Provide high-level statistical consulting and guidance across all project components (VR, ESM, EMI), ensuring robust design, analysis, and interpretation of complex data.
- Coordinate statistical work across teams, ensuring alignment between analytic strategies, study designs, and methodological objectives.
- Co-supervise PhD students working on statistical or methodologically intensive aspects of the project.
- Ensure methodological rigor and scientific quality throughout the research pipeline—from measurement development to intervention evaluation.
- Contribute to high-impact publications and dissemination, including methodological papers, statistical frameworks, and open-source…
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