AI-informed adaptive mid-field MRI for personalized treatment of depression

Amsterdam UMC

Amsterdam

Presencial

EUR 42 000 - 65 000

Tempo integral

Há 4 dias
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Vantagens oferecidas por esta oferta de emprego

End-of-year bonus
Public transport reimbursement
Bike scheme
BeFrank pension

Resumo da oferta

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.

Qualificações

  • 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.

Responsabilidades

  • 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.

Conhecimentos

Python
PyTorch
TensorFlow
ML workflows
Reinforcement learning
Medical imaging
Clinical prediction
Health data science

Formação académica

PhD in AI / related field

Ferramentas

MRI
Perfusion imaging

Descrição da oferta de emprego

About your role

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:

  • Adapting existing predictive models to explore the feasibility of mid-field perfusion MRI for predicting antidepressant treatment outcomes.
  • Developing an AI-based prediction pipeline that combines MRI perfusion measurements with relevant clinical and digital data.
  • Implementing and testing adaptive mid-field MRI acquisition strategies, including a prototype model deployed on the scanner.
  • Designing and conducting a pilot MRI study in healthy volunteers.
  • Writing scientific papers, presenting your findings at international conferences and contributing to the integration of your methods into the PRESS platform.

About you

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:

  • Strong programming skills, for example in Python, PyTorch or TensorFlow, and experience with modern machine learning workflows.
  • An affinity with, and preferably experience in, one or more of the following areas: MRI or other medical imaging, reinforcement learning or sequential decision-making algorithms, and clinical prediction modelling or health data science. Experience with perfusion imaging or ASL is an advantage.
  • A clear interest in mental health, neuroimaging and translational research at the intersection of AI and medicine.
  • Excellent written and spoken English, good communication skills and the ability to work independently and proactively in a multidisciplinary research environment.

Our offer

  • You will be employed by Amsterdam UMC Research BV.
  • A contract for 12 months.
  • Classification in salary scale 10: € 3.724 to € 5.867 gross for full-time employment (depending on experience). In addition to a good basic salary, we offer 8.3% end-of-year bonus. Calculate your net salary here.
  • Holiday hours: 194.4 per year for full time and a possibility to save additional hours.
  • 100% reimbursement for public transport travel costs. If you travel by foot, bicycle, or car, a mileage allowance of €0.21 per km applies (up to a maximum of 40 km one way by car).
  • Do you prefer walking or cycling? Take advantage of our good bike scheme.
  • Pension accrual with BeFrank, a modern, comprehensible and fairly priced pension.

Watch this video with more information about joining Amsterdam UMC Research BV.

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