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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.
You will build on data from a large randomized clinical trial on treatment outcomes in major depressive disorder. Using these data, you will adapt existing prediction models and investigate whether mid-field perfusion MRI can support the early prediction of antidepressant treatment outcomes.
You will develop an end-to-end prediction pipeline and translate your methods into an adaptive MRI strategy that can run directly on the scanner. You will also design and conduct a pilot MRI study in healthy volunteers, testing a prototype model deployed on the scanner.
In addition, you will share your findings with the scientific community and contribute to the further development of the PRESS platform in collaboration with consortium partners from academia and industry. Your responsibilities include:
You have a PhD in artificial intelligence, computer science, (biomedical) engineering, physics, computational neuroscience, technical medicine or a closely related field. You enjoy developing new technical approaches and applying them to clinically relevant challenges.
In addition, you bring:
Watch this video with more information about joining Amsterdam UMC Research BV.