The stroke Unit of Inselspital, University Hospital Bern treats >1000 stroke patients per year possessing long-standing expertise in care of stroke patients. Our interdisciplinary stroke team conducts dozens of national and international research studies resulting in > 300 publications in international journals per year.

What you can expect

Thecurrent project is funded by the SNF. The project aims to improve the care ofpatients after stroke and reduce the impact of post-stroke dementia bydeveloping a mechanistic understanding of post-stroke cognitive trajectories.The candidate will analyse individual pre- and post-stroke predictors ofpost-stroke dementia and perform lesion-based analyses including spatial lesioncharacteristics, (dys)connectome, and other lesion-network and imaging-derivedparameters.

Your Profile

• PhD degree or equivalent
• Basic knowledge of neuropsychological studies
• Basic knowledge of (bio)statistics
• Programming skills in MATLAB, R or Python
• Experience in neuroimaging and/or network-based analysis
• Excellent written English skills
• Publication track record
• Advanced programming skills in Python would be advantageous

What we offer

• Access to a comprehensive database of multimodal clinical, neuroimaging and neuropsychological characteristics
• Integration into the multidisciplinary and experienced research team of the Stroke Research Group Bern
• Participation in meetings and conferences
• Salary according to SNF regulations