AI-Driven Adaptive Mid-Field MRI for Depression Care

Amsterdam UMC; Amsterdam; Sur place; EUR 42 000 - 65 000; Plein temps

Avantages offerts par ce poste

End-of-year bonus

Public transport reimbursement

Bike scheme

BeFrank pension

Résumé du poste

Amsterdam UMC is seeking a PhD-level AI/ML researcher to advance prediction models for antidepressant outcomes using mid-field MRI. You will build an end-to-end pipeline, integrate clinical and digital data, and explore adaptive MRI strategies on the scanner.

Additionally, you will design a pilot study in healthy volunteers, publish in scientific venues, and contribute to PRESS platform development in collaboration with academia and industry partners.

Qualifications

• PhD in AI or related field with strong research track record.
• Experience applying ML to medical imaging and health data.
• Proven ability to develop end-to-end prediction pipelines.

Responsabilités

• Adapt predictive models for mid-field perfusion MRI.
• Develop AI-based pipeline combining MRI and clinical data.
• Test adaptive MRI acquisition strategies on scanner.
• Design pilot MRI study in healthy volunteers.
• Publish findings and contribute to PRESS platform.

Connaissances

Python

PyTorch

TensorFlow

ML workflows

Reinforcement learning

Medical imaging

Clinical prediction

Health data science

Formation

PhD in AI / related field

Outils

MRI

Perfusion imaging

Description du poste

Amsterdam UMC is seeking a PhD-level AI/ML researcher to advance prediction models for antidepressant outcomes using mid-field MRI. You will build an end-to-end pipeline, integrate clinical and digital data, and explore adaptive MRI strategies on the scanner.

Additionally, you will design a pilot study in healthy volunteers, publish in scientific venues, and contribute to PRESS platform development in collaboration with academia and industry partners.