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 youYou 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.
