AI-Driven Adaptive Mid-Field MRI for Depression Therapy

Laplace Expert Ltd; Amsterdam; Hybrid; EUR 42,000 - 65,000; Full time

Job summary

Amsterdam UMC offers a 12-month postdoc focused on AI-informed adaptive mid-field MRI to develop predictive biomarkers for antidepressant treatment. You will work with arterial spin labelling perfusion measurements and questionnaire data to refine models and workflows.

The role includes adapting prediction models, exploring reinforcement-learning strategies for optimal scanning, deploying a scanner prototype, and testing in a healthy-volunteer pilot within the PRESS platform.

Qualifications

• Education: PhD in artificial intelligence, computer science, engineering, physics, computational neuroscience, technical medicine or related area.

Responsibilities

• Develop predictive biomarkers for antidepressant treatment using adaptive mid-field MRI and arterial spin labelling perfusion measurements.
• Adapt clinical-trial prediction models and explore reinforcement-learning decisions about what to scan next.
• Deploy a prototype on the scanner and test it in a healthy-volunteer pilot within the PRESS platform.

Skills

Arterial spin labelling MRI

Reinforcement learning

Python

PyTorch

TensorFlow

Education

PhD in AI/CS/Engineering/Physics/Computational Neuroscience/Technical Medicine or related area

Job description

Amsterdam UMC offers a 12-month postdoc focused on AI-informed adaptive mid-field MRI to develop predictive biomarkers for antidepressant treatment. You will work with arterial spin labelling perfusion measurements and questionnaire data to refine models and workflows.

The role includes adapting prediction models, exploring reinforcement-learning strategies for optimal scanning, deploying a scanner prototype, and testing in a healthy-volunteer pilot within the PRESS platform.