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Ginette Lafit

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PhD: Developing methodological standards for studying the effectiveness of new digital interventions KU Leuven in Belgium

Degree Level

PhD

Field of study

Psychology

Funding

Available

Deadline

Dec 7, 2026

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Country

Belgium

University

KU Leuven

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Keywords

Psychology
Time Series Analysis
Virtual Reality
Neuropsychology
Medical Science
Hierarchical Modeling
Psychosis
Statistics
Methodologie

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About this position

KU Leuven is offering a PhD position on developing methodological standards for studying the effectiveness of new digital interventions. The post sits at the intersection of the Methodology of Educational Science Research Group (CMPO) and the Center for Contextual Psychiatry (CCP), bringing together expertise in advanced statistical modeling, research methodology, experience sampling, and clinical intervention research.

The project is part of eMotion, a recently funded large-scale research program focused on developing new treatments for the negative symptoms of psychosis. The PhD student will contribute to a statistical framework for optimizing the design of Ecological Momentary Interventions (EMIs) using Micro-Randomized Trials (MRTs). The work combines Virtual Reality (VR) and the Experience Sampling Method (ESM) to study approach-avoidance mechanisms underlying amotivation and to improve the design, effectiveness, and evaluation of digital mobile mental health interventions.

Research tasks include applying quantitative methods to ESM data, including time series analysis and multilevel modeling; developing novel methods for constructing EMIs; advancing EMI-VR integration; and producing publications for international peer-reviewed journals. The successful candidate will collaborate with researchers across methodological, psychosis, and digital mental health research lines, and will work in a dynamic interdisciplinary environment with clinical psychologists, experimental psychologists, psychiatrists, and statisticians.

The ideal applicant holds a master’s degree in psychology or a related field such as mental health, psychiatry, social sciences, or health sciences. Strong quantitative and statistical skills are essential, while experience with ESM is highly desirable. The position also requires a commitment to open science and excellent English proficiency (C1 level).

The appointment starts flexibly but no later than 1 March 2027. Funding is available through the eMotion project, with an initial one-year contract renewable for up to three additional years after positive evaluation. KU Leuven notes that PhD salaries are competitive by international standards.

Applications should be submitted via the university job portal. Required documents include a cover letter, CV, BSc and MSc diplomas/transcripts, and contact details for at least two referees, plus any additional material such as a publication list. Questions may be directed to Prof. Ginette Lafit at [email protected].

Funding details

Available

What's required

Applicants must hold a master’s degree in psychology or a related discipline such as Mental Health, Psychiatry, Social Sciences, or Health Sciences. Strong interest in research, solid experience with quantitative research methods, and strong statistical skills are essential. Prior experience with or knowledge of the Experience Sampling Method is highly desirable. Candidates should be committed to open-science practices and have excellent written and spoken English at C1 proficiency level.

How to apply

Apply through the university’s job portal using the application button. Submit a cover letter, CV, diploma and transcripts for BSc and MSc, contact details of at least two referees, and any additional supporting documents such as a publication list if applicable. Email Prof. Ginette Lafit for information if needed.

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Professors

Prof. at KU Leuven

University Name
Country flag

Belgium

Research Interests

Neuropsychology

Statistics

Psychosis

Medical Science

Psychology

Prof. at KU Leuven

University Name
Country flag

Belgium

Research Interests

Clinical Psychology

Psychiatry

Psychology

Psychosis

Medical Science