PhD Candidate: Imagery Rescripting in Panic Disorder

Baandomein; Maastricht; On-site; EUR 429,000 - 543,000; Full time

Benefits offered by this job

12-month contract (0.8 FTE)

ABP pension

Gym access

29 vacation days

Bonus scheme

Job summary

Maastricht University invites applications for a PhD Candidate position in reducing avoidance by altering threat imagery in panic disorder. You will join an interdisciplinary team spanning psychology, neuroscience and clinical psychology to investigate imagery rescripting techniques and mechanistic learning processes.

The role combines experimental and clinical research, CO2 inhalation procedures, SCED designs, and advanced statistics.

Qualifications

• You have a (research) master’s degree in a relevant field, including psychology, health sciences, biomedical sciences, or neuroscience.
• Experience with designing and conducting experimental research and interpreting data.
• Strong interest in experimental and clinical research on anxiety-related disorders, learning, mental imagery.

Responsibilities

• Design and execute qualitative and quantitative studies using a CO2 inhalation procedure.
• Implement findings in a single-case experimental design (SCED).
• Test panic-prone participants and those with panic disorder.
• Apply advanced statistical and computational modelling techniques to analyse SCED data.
• Collaborate with clinical partners and interdisciplinary researchers.
• Disseminate findings via publications and presentations.
• Contribute to open science and methodological rigor.

Skills

Master's degree

Programming

Statistics

Clinical interest

English proficiency

Team collaboration

Dutch advantage

Education

Master's degree in psychology/ neuroscience

Tools

R

Python

Job description

Maastricht University invites applications for a PhD Candidate position in reducing avoidance by altering threat imagery in panic disorder. You will join an interdisciplinary team spanning psychology, neuroscience and clinical psychology to investigate imagery rescripting techniques and mechanistic learning processes.

The role combines experimental and clinical research, CO2 inhalation procedures, SCED designs, and advanced statistics.