AI-Driven Adaptive MRI for Precision Depression Care

AcademicTransfer; Nederland; On-site; EUR 42,000 - 65,000; Full time

Benefits offered by this job

End-of-year bonus (8.3%)

Public transport reimbursement

Bike scheme

BeFrank pension

Job summary

Amsterdam UMC Research BV is seeking a postdoctoral researcher to investigate adaptive, AI-informed mid-field MRI for predicting antidepressant treatment outcomes. You will combine AI, brain imaging and digital mood data to develop biomarkers that enable precision psychiatry and more accessible care.

You will build end-to-end prediction pipelines and translate them into adaptive MRI strategies that run on the scanner, with a pilot study in healthy volunteers and collaboration with academia and

Qualifications

• PhD in a relevant field (AI, CS, biomedical engineering, physics, computational neuroscience or technical medicine).
• Strong programming skills and experience with modern ML workflows.
• Interest in AI, MRI/medical imaging, reinforcement learning and health data science.

Responsibilities

• Adapt predictive models to mid-field perfusion MRI for predicting antidepressant treatment outcomes.
• Develop an AI-based prediction pipeline combining MRI and clinical/digital data.
• Design and test adaptive MRI acquisition strategies, including prototype models on the scanner.
• Conduct a pilot MRI study in healthy volunteers and translate methods into the PRESS platform.

Skills

Python

PyTorch

TensorFlow

Machine learning

MRI/Medical imaging

Reinforcement Learning

Clinical prediction modelling

English proficiency

Education

PhD in AI/CS/ Biomedical Engineering/ Physics/ Computational Neuroscience/ Technical Medicine

Tools

Python libraries

Job description

Amsterdam UMC Research BV is seeking a postdoctoral researcher to investigate adaptive, AI-informed mid-field MRI for predicting antidepressant treatment outcomes. You will combine AI, brain imaging and digital mood data to develop biomarkers that enable precision psychiatry and more accessible care.

You will build end-to-end prediction pipelines and translate them into adaptive MRI strategies that run on the scanner, with a pilot study in healthy volunteers and collaboration with academia and