PhD student ENSEMBLe project: European Newborn Study: Early Markers for a Better LifE.

Cerebral palsy (CP) is the leading cause of physical disability in children but is often diagnosed too late, delaying intervention until after critical neuroplastic windows have passed. Recent guidelines have outlined reliable tools for early CP detection, combining brain MRI, EEG, and clinical assessments such as the General Movement Assessment (GMA) and the Hammersmith Infant Neurological Examination (HINE). However, current predictive models lack integration of these modalities and precision in individualized diagnosis and prognosis.

As part of the ENSEMBLE Project—a multinational study funded by the Fondation Paralysie Cérébrale—you will help develop a machine learning-based multimodal prediction tool for CP diagnosis and long-term outcomes. This tool will integrate advanced clinical assessments to provide personalized prognoses for motor, cognitive, and behavioral outcomes, enhancing family counseling and early intervention strategies.

Your responsibilities will include:

• Developing and validating a machine learning prediction model for CP and related
• outcomes using neonatal MRI, EEG, GMA, HINE, and clinical data.
• Coordinating patient inclusion, data collection, and analysis across multiple NICUs in five
• European countries.
• Harmonizing protocols across study centers and engaging with families to gather clinical and psychosocial data.

You will join the Department of Neonatology at the Wilhelmina Children’s Hospital (WKZ), an internationally recognized neonatal neurology expertise center. Collaborating with neonatologists, rehabilitation specialists, machine learning experts, and the Family Advisory Council (FAC), you will work at the intersection of clinical care and research. FAC will support co-creation of recommendations and strategies for implementing ML tools in neonatal care.

The department of Neonatology specializes in understanding and treating brain injuries in critically ill newborns, utilizing advanced brain imaging, bedside neuromonitoring, and standard long-term follow-up.

We are looking for a motivated, team-oriented, and empathetic researcher with:

• A Master’s degree in Technical Medicine, Biomedical Engineering, Neuroscience &
• Cognition, or a related field.
• Demonstratable working experience in applying machine learning, preferably to clinical
• data.
• ·xcellent communication skills and the ability to engage with parents in high-stress
• situations.
• Proficiency in English and Dutch, both spoken and written.
• Given the nature of the work, it is desirable that you already live in the Netherlands.

We consider it an advantage if you bring the following:

• Experience in MRI brain imaging and/or EEG analysis

Interviews will take place on December 1st in the afternoon (2:00-4:00 PM) and possibly on December 5th in the morning (11:00 AM-12:30 PM).

• A salary between € 3108 - € 3939 gross per month (salary scale OIO), based on full-time employment (36 hours). 
• Year-end bonus of 8.3% and holiday allowance of 8%. 
• Pension insurance with ABP. We take care of approximately 70% of the monthly contribution. 
• 100% public transport reimbursement. Are you coming on foot, by bike or by car? You will then receive a reimbursement of € 0.18 per km (by car up to a max. of 40 km one way). 
• Possibilities to develop yourself personally and professionally. 
• The option to select additional employment benefits in exchange for gross salary, such as purchasing a bicycle and memberships.